World's Best Scientists 2026 revealed!
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Engineering and Technology
UAE
2026

D-Index & Metrics

Engineering and Technology

D-Index
78
Citations
21050
World Ranking
610
National Ranking
4

Ahmed El-Shafie 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 Ahmed El-Shafie 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: 444 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Ahmed El-Shafie 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 Ahmed El-Shafie 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: 78 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United Arab Emirates Leader Award

Overview

Ahmed El-Shafie is affiliated with the University of Malaya in Malaysia and has contributed extensively to the fields of Environmental Science and Engineering. Their research primarily focuses on Environmental Engineering and Water Science, with significant work in Global and Planetary Change, Civil and Structural Engineering, and Electrical and Electronic Engineering.

The main topics covered in their work include:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Energy Load and Power Forecasting
  • Water resources management and optimization
  • Water Quality Monitoring Technologies
  • Hydrology and Drought Analysis

Ahmed El-Shafie has published in several notable venues, with multiple papers appearing in:

  • Ain Shams Engineering Journal
  • Scientific Reports
  • Engineering Applications of Computational Fluid Mechanics
  • Applied Water Science
  • Natural Hazards

Recent papers authored or co-authored by Ahmed El-Shafie include:

  • Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia, 2021, Ain Shams Engineering Journal
  • Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia, 2020, Ain Shams Engineering Journal
  • A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting, 2021, Alexandria Engineering Journal
  • Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting, 2020, Journal of Hydrology
  • Rainfall-runoff modelling using improved machine learning methods: Harris hawks optimizer vs. particle swarm optimization, 2020, Journal of Hydrology

Frequent collaborators in Ahmed El-Shafie's research include Ali Najah Ahmed, Mohsen Sherif, Yuk Feng Huang, Mohammad Ehteram, and Sarmad Dashti Latif. These coauthors have contributed significantly alongside El-Shafie, reflecting strong collaborative efforts in their field of study.

Best Publications

  • Machine learning methods for better water quality prediction

    Ali Najah Ahmed;Faridah Binti Othman;Haitham Abdulmohsin Afan;Rusul Khaleel Ibrahim

  • Artificial intelligence based models for stream-flow forecasting: 2000–2015

    Zaher Mundher Yaseen;Ahmed El-shafie;Ahmed El-shafie;Othman Jaafar;Haitham Abdulmohsin Afan

  • Performance Enhancement of MEMS-Based INS/GPS Integration for Low-Cost Navigation Applications

    A. Noureldin;T.B. Karamat;M.D. Eberts;A. El-Shafie

  • Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia

    Ahmedbahaaaldin Ibrahem Ahmed Osman;Ali Najah Ahmed;Ming Fai Chow;Yuk Feng Huang

  • Review on heavy metal adsorption processes by carbon nanotubes

    Seef Saadi Fiyadh;Mohammed Abdulhakim AlSaadi;Wan Zurina Jaafar;Mohamed Khalid AlOmar

  • Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

    Zaher Mundher Yaseen;Othman Jaafar;Ravinesh C. Deo;Ozgur Kisi

  • Reservoir Optimization in Water Resources: a Review

    Asmadi Ahmad;Ahmed El-Shafie;Siti Fatin Mohd Razali;Zawawi Samba Mohamad

  • GPS/INS integration utilizing dynamic neural networks for vehicular navigation

    Aboelmagd Noureldin;Ahmed El-Shafie;Mohamed Bayoumi

  • Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

    Zaher Mundher Yaseen;Zaher Mundher Yaseen;Isa Ebtehaj;Hossein Bonakdari;Ravinesh C. Deo

  • Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia

    Mohammed Majeed Hameed;Saadi Shartooh Sharqi;Zaher Mundher Yaseen;Haitham Abdulmohsin Afan

  • A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam

    Ahmed El-Shafie;Mahmoud Reda Taha;Aboelmagd Noureldin

  • Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

    Yazid Tikhamarine;Doudja Souag-Gamane;Ali Najah Ahmed;Ozgur Kisi

  • Application of artificial neural networks for water quality prediction

    Ali A. Najah;Ahmed El-Shafie;O. A. Karim;Amr H. El-Shafie

  • Rainfall forecasting model using machine learning methods: Case study Terengganu, Malaysia

    Wanie M. Ridwan;Michelle Sapitang;Awatif Aziz;Khairul Faizal Kushiar

  • A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting

    Karim Sherif Mostafa Hassan Ibrahim;Yuk Feng Huang;Ali Najah Ahmed;Chai Hoon Koo

  • Daily Forecasting of Dam Water Levels: Comparing a Support Vector Machine (SVM) Model With Adaptive Neuro Fuzzy Inference System (ANFIS)

    Afiq Hipni;Ahmed El-shafie;Ali Najah;Othman Abdul Karim

  • Wavelet based hybrid ANN-ARIMA models for meteorological drought forecasting

    Md. Munir Hayet Khan;Md. Munir Hayet Khan;Nur Shazwani Muhammad;Ahmed El-Shafie

  • ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

    Haitham Abdulmohsin Afan;Ahmed El-Shafie;Zaher Mundher Yaseen;Mohammed Majeed Hameed

  • Prediction of johor river water quality parameters using artificial neural networks

    Ali Najah;Ahmed Elshafie;Othman A. Karim;Othman Jaafar

  • A modified gravitational search algorithm for slope stability analysis

    Mohammad Khajehzadeh;Mohd Raihan Taha;Ahmed El-Shafie;Mahdiyeh Eslami

  • Application of soft computing based hybrid models in hydrological variables modeling: a comprehensive review

    Farzad Fahimi;Zaher Mundher Yaseen;Ahmed El-shafie

Frequent Co-Authors

Mohd Raihan Taha
Mohd Raihan Taha National University of Malaysia
Ozgur Kisi
Ozgur Kisi Ilia State University
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Aboelmagd Noureldin
Aboelmagd Noureldin Royal Military College of Canada
Aini Hussain
Aini Hussain National University of Malaysia
Vijay P. Singh
Vijay P. Singh Texas A&M University
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Shaliza Ibrahim
Shaliza Ibrahim University of Malaya
Abdul Amir H. Kadhum
Abdul Amir H. Kadhum University of Al-Ameed
Behrooz Keshtegar
Behrooz Keshtegar Zabol University

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