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Engineering and Technology

D-Index
39
Citations
4854
World Ranking
7821
National Ranking
315

Overview

Amin Elshorbagy is affiliated with the University of Saskatchewan in Canada. Their research primarily focuses on environmental science, with a substantial number of publications centered around water science and technology, global and planetary change, ocean engineering, pollution, and aspects of sociology and political science related to environmental issues.

Their work covers several interconnected topics including:

  • Water-Energy-Food Nexus Studies
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Energy and Environment Impacts
  • Water resources management and optimization
  • Hydrology and Drought Analysis
  • Transboundary Water Resource Management

Frequent co-authors of Amin Elshorbagy include:

  • Petra Döll
  • Juliane Mai
  • Ximing Cai
  • Hamid Moradkhani
  • Francesco Laio

They have published extensively in a variety of scientific journals, with notable frequent venues being:

  • Water Resources Research
  • Journal of Hydrology
  • Hydrological Processes
  • Agricultural Water Management
  • Frontiers in Environmental Science

Some recent publications by Amin Elshorbagy include:

  • "Trade-offs and synergies in the water-energy-food nexus: The case of Saskatchewan, Canada," 2020, published in Resources Conservation and Recycling
  • "Streamflow modelling and forecasting for Canadian watersheds using LSTM networks with attention mechanism," 2022, published in Neural Computing and Applications
  • "Coevolution of machine learning and process-based modelling to revolutionize Earth and environmental sciences: A perspective," 2022, published in Hydrological Processes
  • "Advances in modelling large river basins in cold regions with Modélisation Environmentale Communautaire-Surface and Hydrology (MESH), the Canadian hydrological land surface scheme," 2022, published in Hydrological Processes
  • "Crop models and their use in assessing crop production and food security: A review," 2023, published in Food and Energy Security

Best Publications

  • HESS Opinions: Incubating deep-learning-powered hydrologic science advances as a community

    Chaopeng Shen;Eric Laloy;Amin Elshorbagy;Adrian Albert

  • Estimation of missing streamflow data using principles of chaos theory

    Amin Elshorbagy;S.P. Simonovic;U.S. Panu

  • Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology

    A. Elshorbagy;G. Corzo;S. Srinivasulu;D. P. Solomatine;D. P. Solomatine

  • On the relevance of using artificial neural networks for estimating soil moisture content

    Amin Elshorbagy;K. Parasuraman

  • Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 2: Application

    A. Elshorbagy;G. Corzo;S. Srinivasulu;D. P. Solomatine;D. P. Solomatine

  • Modelling the dynamics of the evapotranspiration process using genetic programming

    Kamban Parasuraman;Amin Elshorbagy;Sean K. Carey

  • Performance Evaluation of Artificial Neural Networks for Runoff Prediction

    Amin Elshorbagy;S. P. Simonovic;U. S. Panu

  • The Use of Object-Oriented Modeling for Water Resources Planning in Egypt

    Slobodan P. Simonovic;Hussam Fahmy;Amin El-Shorbagy

  • System dynamics approach to assess the sustainability of reclamation of disturbed watersheds

    Amin Elshorbagy;Antarpreet Jutla;Lee Barbour;Jim Kells

  • Noise reduction in chaotic hydrologic time series: facts and doubts

    A. Elshorbagy;S.P. Simonovic;U.S. Panu

  • Infiltration and drainage processes in multi-layered coarse soils

    Mingbin Huang;Mingbin Huang;S. Lee Barbour;Amin Elshorbagy;Julie D. Zettl

  • Trade-offs and synergies in the water-energy-food nexus: The case of Saskatchewan, Canada

    Lina Wu;Amin Elshorbagy;Saket Pande;La Zhuo;La Zhuo

  • Towards a time and cost effective approach to water quality index class prediction

    Jun Yung Ho;Haitham Abdulmohsin Afan;Amr H. El-Shafie;Suhana Binti Koting

  • Managing water in complex systems: An integrated water resources model for Saskatchewan, Canada

    Elmira Hassanzadeh;Amin Elshorbagy;Howard S. Wheater;Patricia Gober;Patricia Gober

  • Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan

    Nick J. Mount;Holger R. Maier;Elena Toth;Amin Elshorbagy

  • Object-oriented modeling approach to surface water quality management

    Amin Elshorbagy;Lindell Ormsbee

  • Coevolution of machine learning and process‐based modelling to revolutionize Earth and environmental sciences: A perspective

    Unknown

  • A stochastic reconstruction framework for analysis of water resource system vulnerability to climate-induced changes in river flow regime

    Alireza Nazemi;Howard S. Wheater;Kwok P. Chun;Amin Elshorbagy

  • Quantile-Based Downscaling of Precipitation Using Genetic Programming: Application to IDF Curves in Saskatoon

    Elmira Hassanzadeh;Alireza Nazemi;Amin Elshorbagy

  • Estimating Saturated Hydraulic Conductivity In Spatially Variable Fields Using Neural Network Ensembles

    Kamban Parasuraman;Amin Elshorbagy;Bing Cheng Si

  • Prediction of hourly actual evapotranspiration using neural networks, genetic programming, and statistical models

    Zohreh Izadifar;Amin Elshorbagy

  • Quantification of the climate change-induced variations in Intensity–Duration–Frequency curves in the Canadian Prairies

    Md. Shahabul Alam;Amin Elshorbagy

Frequent Co-Authors

Howard Wheater
Howard Wheater Imperial College London
Patricia Gober
Patricia Gober Arizona State University
Dimitri Solomatine
Dimitri Solomatine IHE Delft Institute for Water Education
Alain Pietroniro
Alain Pietroniro University of Saskatchewan
Slobodan P. Simonovic
Slobodan P. Simonovic University of Western Ontario
Bing Cheng Si
Bing Cheng Si University of Saskatchewan
Sean K. Carey
Sean K. Carey McMaster University
Alberto Montanari
Alberto Montanari University of Bologna
Thorsten Wagener
Thorsten Wagener University of Potsdam
Francesco Laio
Francesco Laio Polytechnic University of Turin

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