Mingxing Jia | Artificial Neural Networks | Research Excellence Distinction Award Published on 10/04/202610/04/2026 by Environmental Scientists After Completing the Registration Process, your Biography will be displayed here. Register by using your Entry ID: 3381 Register Here
Vivek Dwivedi | Computer Science | Research Excellence Award Published on 10/04/2026 by Environmental Scientists Mr. Vivek Dwivedi | Computer Science | Research Excellence Award Research Scholar | The University of Slovak University of Technology | Slovakia Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Mr. Vivek Dwivedi is an emerging researcher in the field of Computer Science, specializing in machine learning, robotics, and intelligent computational systems. His research emphasizes the development of real-time applications using computer vision, natural language processing, and advanced programming frameworks. He has worked on innovative solutions such as adaptive multi-camera systems for virtual environments and intelligent robotic mechanisms, showcasing strong technical expertise and research potential. With 12 published documents, 25 citations, and an h-index of 3, his contributions reflect steady academic growth and relevance. His work aims to bridge the gap between theoretical research and practical implementation, contributing to advancements in automation, smart technologies, and next-generation digital systems that address real-world challenges. Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Comprehensive Electric Load Forecasting Using Ensemble Machine Learning Methods – ICSSIP, 2022 (Cited by 8) Multiple-Camera System for 3D Object Detection in Virtual Environment Using Intelligent Approach – ICSSIP, 2022 (Cited by 7) Short-Term Electric Load Forecast Model Using Ant Lion Optimization with Bi-LSTM Network – ICSSIP, 2023 (Cited by 6) Automatic Image Stitching for Stereo Spherical Image – ELMAR Symposium, 2022 (Cited by 4)
Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index
Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index
Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index
Citation Metrics ( Scopus ) 60 50 40 30 20 10 0 Citations 25 documents 12 h-index 3 Citations Documents h-index
Abdulaziz Abahussain | Chemical Engineering | Research Excellence Award Published on 09/04/2026 by Environmental Scientists Assoc. Prof. Dr. Abdulaziz Abahussain | Chemical Engineering | Research Excellence Award Associate Professor | The University of King Saud University | Saudi Arabia Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Assoc. Prof. Dr. Abdulaziz A. M. Aba Hussain is an accomplished researcher in chemical engineering, specializing in electrochemical engineering, catalysis, and renewable energy systems. His research encompasses hydrogen production technologies, direct borohydride fuel cells, CO₂ utilization, and advanced nanocatalysts for sustainable energy applications. With a strong academic record of 55 publications, 395 citations, and an h-index of 13, his work significantly contributes to improving energy conversion efficiency and environmental sustainability. His studies combine theoretical modeling, simulation, and experimental validation to address critical challenges in fuel cells, electrolysis, and catalytic reactions. Through his research, he actively supports the transition toward low-carbon energy systems and the development of cost-effective, high-performance electrochemical technologies for industrial and environmental applications. Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Samarium Promoted Ni-Catalyst Dispersed Over Yttria-Zirconia for H₂-Rich Syngas Production Through Partial Oxidation of Methane – Molecular Catalysis, 2026 Nickel-Based Catalysts for Hydrogen Production Through Partial Oxidation: The Role of KIT-6 and Promoter Effects – Catalysts, 2026 Impact of Rh, La, Sm, and Au on Ni/Al₂O₃ Catalysts in Dry Reforming of Methane for Syngas Production – Research on Chemical Intermediates, 2026 Effect of Promoters on Co/Al₂O₃ Catalysts for Partial Oxidation of Methane: Structure–Activity Correlations – Catalysts, 2025 Benchmarking Key Performance Factors in Textile Industry Effluent Treatment Processes for Enhanced Environmental Remediation – Scientific Reports, 2024
Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index
Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index
Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index
Citation Metrics ( Scopus ) 600 500 400 300 200 100 0 Citations 395 documents 52 h-index 13 Citations Documents h-index
View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications
Ali Danandeh Mehr | Environmental Science | Best Researcher Award Published on 09/04/202609/04/2026 by Environmental Scientists Prof. Dr. Ali Danandeh Mehr | Environmental Science | Best Researcher Award Professor | The University of Antalya Bilim University | Turkey Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Prof. Dr. Ali Danandeh Mehr is a prominent scholar in civil and environmental engineering, specializing in hydrology, drought modeling, and climate variability. His research integrates cutting-edge computational approaches such as machine learning, genetic programming, and hybrid data-driven models to solve complex water-related challenges. He has published 115 scientific documents in reputed international journals, advancing the field of hydroinformatics and predictive environmental modeling. With 4,186 citations and an h-index of 37, his research reflects significant global impact and scholarly recognition. His work focuses on understanding extreme climatic events, improving forecasting accuracy, and supporting sustainable water resource planning. Through innovative methodologies and interdisciplinary approaches, his contributions continue to enhance resilience and decision-making in water resources engineering and environmental sustainability. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Assessing Seasonal Drought Persistence Using a Bayesian Logistic Regression Approach – Physics and Chemistry of the Earth, 2026 BAMPP: A Novel Bayesian Network Enhanced by Average Marginal Posterior Probabilities for Drought Monitoring – Physics and Chemistry of the Earth, 2026 Meteorological Drought Modeling Using Recurrent Neural Network and Long Short-Term Memory – Book Chapter Time-Dependent Intrinsic Correlation Analysis of Climatic Oscillations and Extreme Indices – Atmosphere, 2025 Multi-Level Trend Analysis of Extreme Climate Indices Using Hybrid Fuzzy Logic Methods – Scientific Reports, 2025
Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index
Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index
Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index
Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 4186 documents 115 h-index 37 Citations Documents h-index
Naji Al-Dosary | Agricultural and Biological Sciences | Research Excellence Award Published on 09/04/2026 by Environmental Scientists Prof. Naji Al-Dosary | Agricultural and Biological Sciences | Research Excellence Award Professor | The University of King Saud University | Saudi Arabia Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Dr. Naji Al-Dosary is an accomplished researcher specializing in Agricultural and Biological Engineering, with expertise in machine development, harvesting systems, and precision agriculture technologies. His research emphasizes the design and optimization of agricultural machinery, including innovative harvesting equipment and fluid power systems, alongside applications of GIS and GPS for improved farm management. He has significantly contributed to advancing post-harvest operations and reducing crop losses through engineering solutions. With 16 publications, 224 citations, and an h-index of 7, his scholarly impact highlights consistent contributions to agricultural engineering research. His work bridges theory and application, supporting sustainable farming practices and enhancing productivity through mechanization and smart agricultural technologies. Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Review on the Management of Red Palm Weevil (Rhynchophorus ferrugineus) in Date Palm (Phoenix dactylifera L) – Emirates Journal of Food and Agriculture, 2016 Potato Harvester Performance on Tuber Damage in Eastern Saudi Arabia – Agricultural Engineering International: CIGR Journal, 2016 K-Nearest Neighbors Method for Prediction of Fuel Consumption in Tractor–Chisel Plow Systems – Engenharia Agrícola, 2019 Evaluation of Soil Characteristics for Agricultural Machinery Management in Al Aflaj Oasis, Saudi Arabia – Sustainability, 2022 Estimation of Wheel Slip in 2WD Mode for Agricultural Tractor Using Artificial Neural Networks – Scientific Reports, 2023
Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index
Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index
Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index
Citation Metrics ( Scopus ) 300 250 200 150 100 50 0 Citations 224 documents 16 h-index 7 Citations Documents h-index
View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications
Enes Cengiz Oguz | Economics | Research Excellence Award Published on 09/04/2026 by Environmental Scientists Dr. Enes Cengiz Oguz | Economics | Research Excellence Award Postdoctoral Researcher | The University of Anglia Ruskin University | United Kingdom Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Dr. Enes Cengiz Oguz is a dedicated researcher in the field of economics, specializing in behavioural economics, labour market analysis, and macroeconomic policy. His research investigates the interplay between confidence indicators, unemployment, and economic stability, with a particular emphasis on OECD and developing economies. He has contributed to interdisciplinary studies on renewable energy, carbon emissions, and agricultural productivity, applying advanced econometric techniques and multi-level qualitative approaches. His scholarly work also includes bibliometric analyses that map the intellectual structure of economic research domains. With a record of 14 publications, 5 citations, and an h-index of 1, his research portfolio demonstrates a growing academic impact and a commitment to addressing complex global economic challenges through data-driven insights and innovative methodologies. Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Active Labour Market Policies and Macroeconomic Variables on Employment, Informal Employment and Income Effects: The Case of Turkey – International Journal of Economics and Financial Issues, 2022 Sustainability, Circular Economy, and Transformation in Organizations – IGI Global, 2025 Institutional and Financial Drivers of Renewable Energy Consumption and Carbon Emissions: Evidence from Developed Economies – Sustainability, 2026 A Systematic Review of Publications on Artificial Intelligence and Unemployment Between 1999 and 2025: A Bibliometric Analysis – International Socrates Congress, 2025 Intellectual Structure of Unemployment Studies: A Bibliometric Analysis – International Strategic Management Conference, 2024
Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index
Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index
Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index
Citation Metrics ( Google Scholar ) 24 20 16 12 8 4 0 Citations 5 documents 14 h-index 1 Citations Documents h-index
Nazmunnahar Nazmunnahar | Environmental Science | Research Excellence Award Published on 09/04/2026 by Environmental Scientists Mrs. Nazmunnahar Nazmunnahar | Environmental Science | Research Excellence Award PhD Candidate | The University of Manchester | United Kingdom Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Mrs. Nazmunnahar Nazmunnahar, in collaboration with Aman Ul Azam Khan, Mehedi Hasan Roni, Aurghya Kumar Saha, Zarin Tasnim Bristy, Abdul Baqui, and Abdul Md Mazid, co-authored a significant study on sustainable smart textile development using e-waste materials. The research focuses on fabricating twelve types of conductive threads by twisting copper filaments with cotton and polyester, followed by coating with carbon paste enriched with sea salt, sourced from recycled dry cell batteries. The developed threads exhibited exceptionally low electrical resistance, with the best-performing variant achieving 0.0164 Ω/cm. Comparative analysis revealed performance equal to or better than commercial conductive threads. The threads maintained stability under bending, twisting, and wash cycles, proving their suitability for wearable electronics, flexible circuits, and eco-friendly textile innovations. View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Development of Low-Resistance Conductive Threads from E-Waste for Smart Textiles – Fibers, 2026 Moisture-driven Composite Battery from Waste Materials for Sustainable Energy Harvesting – 2026
Julia Grosinger | Environmental Science | Research Excellence Award Published on 09/04/2026 by Environmental Scientists Mrs. Julia Grosinger | Environmental Science | Research Excellence Award Investigadora | The University of ICTA Universitat Autonoma De Barcelona | Spain Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Mrs. Julia Grosinger is a dedicated researcher specializing in social-ecological systems, agro-food studies, and post-growth transformations in rural contexts. Her academic work focuses on understanding landscape governance, environmental justice, and the co-production of nature’s contributions to people. Through interdisciplinary and case-based methodologies, she examines how human needs can be spatially integrated into sustainability strategies. She has contributed to several international journals, addressing themes such as biodiversity governance, environmental disinformation, and participatory approaches to sustainability. Her publications reflect strong engagement with ecological economics and sustainability science. With 9 scholarly documents, 68 citations, and an h-index of 5, she has established a credible academic presence, contributing valuable insights into the transition toward sustainable and equitable socio-ecological systems. Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Historical Reconfigurations of a Social–Ecological System Adapting to Economic, Policy and Climate Changes in the French Alps – Regional Environmental Change, 2021 Collective Capabilities Shape the Co-production of Nature’s Contributions to People in the Alpine Agricultural System of the Maurienne Valley, France – Regional Environmental Change, 2021 Time in and for Nature-Based Solutions: No Quick Fix Solutions for Complex Ecological and Social Processes – Nature-Based Solutions, 2025 Memory Over Matter? A Conceptual Framework to Integrate Social–Ecological Legacies in Agricultural NCP Co-production – Sustainability Science, 2022 Joint Problem Framing: A Transdisciplinary Methodology for a Sustainable Future in Mountain Areas – Sustainability Science, 2023
Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index
Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index
Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index
Citation Metrics ( Scopus ) 120 100 80 60 40 20 0 Citations 68 documents 9 h-index 5 Citations Documents h-index
Muhammad Rashid | Environmental Science | Research Excellence Award Published on 08/04/2026 by Environmental Scientists Dr. Muhammad Rashid | Environmental Science | Research Excellence Award Researcher | The University of University of Bari Aldo Moro | Italy Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Dr. Muhammad Rashid is an emerging researcher in Environmental Science with expertise in hydrological modeling, groundwater surface water interaction, and climate change impact assessment. His research combines advanced tools such as GIS, remote sensing, and machine learning to evaluate flood risks, groundwater sustainability, and land-use dynamics. He has contributed to interdisciplinary studies focusing on environmental resilience, water resource optimization, and predictive modeling for hydrological extremes. With 5 research documents, 17 citations, and an h-index of 3, his work highlights the integration of data-driven methodologies to address complex environmental challenges. His research supports sustainable development goals by improving water management strategies and enhancing understanding of climate-driven hydrological processes, contributing to innovative and scalable solutions in environmental science. Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index View Scopus Profile View Google Scholar Profile View Research Gate Profile Featured Publications Simulation of the Potential Impacts of Projected Climate and Land Use Change on Runoff under CMIP6 Scenarios – Water, 2023 Quantifying the Impacts of Climate and Land Cover Changes on the Hydrological Regime of a Complex Dam Catchment Area – Sustainability, 2023 Evaluating Land Use and Climate Change Impacts on Ravi River Flows Using GIS and Hydrological Modeling Approach – Scientific Reports, 2024 Assessment of Rainwater Harvesting Potential for Urban Area under Climate and Land Use Changes Using Geo-informatics Technology – Urban Climate, 2023 Mitigating Soil Erosion in Arid Landscapes: Integrating RUSLE and Geospatial Analysis for Sustainable Land Management – Environmental Challenges, 2025
Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index
Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index
Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index
Citation Metrics ( Scopus ) 30 25 20 15 10 5 0 Citations 17 documents 5 h-index 3 Citations Documents h-index
Gabriel Bento | Materials Science | Research Excellence Award Published on 08/04/202608/04/2026 by Environmental Scientists Mr. Gabriel Bento | Materials Science | Research Excellence Award Doctaral Student in Science and Technology of Materials and Chemical | The University of Federal University of Sergipe | Brazil Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024
Mr. Gabriel Soares Bento and collaborating authors investigate a sustainable mechanochemical route for synthesizing layered double hydroxides through a dry-milling technique. This innovative approach avoids solvent use, minimizes waste generation, and eliminates post-synthesis treatments such as washing and calcination. The study focuses on Zn-incorporated hydrotalcite-like materials, which were thoroughly characterized using XRD, FT-IR, thermal analysis, and adsorption techniques. These materials were evaluated as photocatalysts for the degradation of paracetamol, a common pharmaceutical pollutant in water systems. Findings confirm that the dry-milling method successfully produces functional layered materials with improved catalytic efficiency. The research demonstrates the environmental and technological advantages of green synthesis methods, offering promising applications in pollution control, advanced oxidation processes, and sustainable material engineering for future environmental solutions. View ORCID Profile View Research Gate Profile Featured Publications Dry-Mill Synthesis of Photocatalysts Based on Layered Double Hydroxides – Catalysts, 2026 Green Synthesis of Manganese Dioxide (MnO₂) Nanoparticles Produced with Acerola (Malpighia emarginata) Leaf Extract – Materials Chemistry and Physics, 2024