World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
4854
World Ranking
7823
National Ranking
315

Amin Elshorbagy publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Amin Elshorbagy sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 114 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Amin Elshorbagy D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Amin Elshorbagy sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 39 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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