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Engineering and Technology
Saudi Arabia
2026

D-Index & Metrics

Rising Stars

D-Index
80
Citations
20630
World Ranking
26
National Ranking
2

Engineering and Technology

D-Index
87
Citations
22608
World Ranking
348
National Ranking
4

Zaher Mundher Yaseen 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 Zaher Mundher Yaseen 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: 363 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Zaher Mundher Yaseen 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 Zaher Mundher Yaseen 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: 87 D-Index — 97th percentile

97% 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 Saudi Arabia Leader Award
  • 2025 - Research.com Engineering and Technology in Saudi Arabia Leader Award
  • 2025 - Research.com Rising Stars Award

Overview

Zaher Mundher Yaseen is affiliated with King Fahd University of Petroleum and Minerals in Saudi Arabia. Their research primarily focuses on Environmental Science and Engineering, with significant contributions across subfields such as Environmental Engineering, Global and Planetary Change, Water Science and Technology, Civil and Structural Engineering, and Electrical and Electronic Engineering.

The scientist's work emphasizes topics related to hydrology and environmental modeling. Key areas include Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Hydrology and Drought Analysis, Energy Load and Power Forecasting, Flood Risk Assessment and Management, Climate Variability and Models, and Nanofluid Flow and Heat Transfer.

Frequent coauthors collaborating with Zaher Mundher Yaseen are:

  • Shamsuddin Shahid
  • Mehdi Jamei
  • Raad Z. Homod
  • Omer A. Alawi
  • Nadhir Al-Ansari

Yaseen has published extensively in several journals. The most frequent publication venues include:

  • Scientific Reports
  • Journal of Hydrology
  • Environmental Science and Pollution Research
  • Theoretical and Applied Climatology
  • Sustainability

Prominent recent papers authored by Yaseen include:

  • A survey on river water quality modelling using artificial intelligence models: 2000-2020 (2020), Journal of Hydrology
  • Groundwater level prediction using machine learning models: A comprehensive review (2022), Neurocomputing
  • River water quality index prediction and uncertainty analysis: A comparative study of machine learning models (2020), Journal of Environmental Chemical Engineering
  • An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions (2021), Chemosphere
  • Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks (2021), Scientific Reports

In addition to journal articles, Yaseen has contributed to books published by Springer International Publishing and the University of Southern Queensland. Notable titles include "Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation" (2020) and "Intelligent data analytics for decision-support systems in hazard mitigation: theory and practice of hazard mitigation" (2021).

Best Publications

  • An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

    Zaher Mundher Yaseen;Sadeq Oleiwi Sulaiman;Ravinesh C. Deo;Kwok Wing Chau

  • A survey on river water quality modelling using artificial intelligence models: 2000–2020

    Tiyasha;Tran Minh Tung;Zaher Mundher Yaseen

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

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

  • Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

    Zaher Mundher Yaseen;Ravinesh C. Deo;Ameer Hilal;Abbas M. Abd

  • River water quality index prediction and uncertainty analysis: A comparative study of machine learning models

    Seyed Babak Haji Seyed Asadollah;Ahmad Sharafati;Ahmad Sharafati;Davide Motta;Zaher Mundher Yaseen

  • 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

  • An insight into machine learning models era in simulating soil, water bodies and adsorption heavy metals: Review, challenges and solutions.

    Zaher Mundher Yaseen

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

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

  • Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks.

    Sujan Ghimire;Zaher Mundher Yaseen;Zaher Mundher Yaseen;Aitazaz A. Farooque;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

  • Experimental and Numerical Analysis for Earth-Fill Dam Seepage

    Ahmed Mohammed Sami Al-Janabi;Abdul Halim Ghazali;Yousry Mahmoud Ghazaw;Haitham Abdulmohsin Afan

  • Development of artificial intelligence for modeling wastewater heavy metal removal: State of the art, application assessment and possible future research

    Suraj Kumar Bhagat;Tran Minh Tung;Zaher Mundher Yaseen

  • Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

    Rana Muhammad Adnan;Reham R. Mostafa;Ozgur Kisi;Ozgur Kisi;Zaher Mundher Yaseen;Zaher Mundher Yaseen

  • Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

    M. A. Ghorbani;M. A. Ghorbani;Ravinesh C. Deo;Zaher Mundher Yaseen;Zaher Mundher Yaseen;Mahsa H. Kashani

  • ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

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

  • Complete ensemble empirical mode decomposition hybridized with random forest and kernel ridge regression model for monthly rainfall forecasts

    Mumtaz Ali;Ramendra Prasad;Yong Xiang;Zaher Mundher Yaseen

  • Statistical modeling and mechanistic pathway for methylene blue dye removal by high surface area and mesoporous grass-based activated carbon using K2CO3 activator

    Ahmed Saud Abdulhameed;Nurul Nadiah Mohd Firdaus Hum;S. Rangabhashiyam;Ali H. Jawad

  • Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso

    Hai Tao;Lamine Diop;Ansoumana Bodian;Koffi Djaman

  • Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria

    Rajab Homsi;Mohammed Sanusi Shiru;Shamsuddin Shahid;Tarmizi Ismail

  • Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation

    Minglei Fu;Tingchao Fan;Zi'ang Ding;Sinan Q. Salih

  • Genetic programming in water resources engineering: A state-of-the-art review

    Ali Danandeh Mehr;Vahid Nourani;Vahid Nourani;Ercan Kahya;Bahrudin Hrnjica

Frequent Co-Authors

Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia
Ozgur Kisi
Ozgur Kisi Ilia State University
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Ahmed El-Shafie
Ahmed El-Shafie United Arab Emirates University
Mumtaz Ali
Mumtaz Ali University of Southern Queensland
Chongchong Qi
Chongchong Qi Central South University
Kwok-wing Chau
Kwok-wing Chau Hong Kong Polytechnic University
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Vijay P. Singh
Vijay P. Singh Texas A&M University

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