World's Best Scientists 2026 revealed!
Mohammad Zounemat-Kermani

Mohammad Zounemat-Kermani

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
7186
World Ranking
5836
National Ranking
79

Mohammad Zounemat-Kermani 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 Mohammad Zounemat-Kermani 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: 134 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Mohammad Zounemat-Kermani 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 Mohammad Zounemat-Kermani 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: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Mohammad Zounemat-Kermani is affiliated with Shahid Bahonar University of Kerman in Iran. Their research primarily spans Environmental Science and Engineering, with significant contributions in Environmental Engineering, Water Science and Technology, Artificial Intelligence, Civil and Structural Engineering, and Global and Planetary Change.

The scientist's work encompasses several main topics, including:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Energy Load and Power Forecasting
  • Water Quality Monitoring Technologies
  • Machine Learning and ELM
  • Hydraulic flow and structures
  • Flood Risk Assessment and Management

Mohammad Zounemat-Kermani has published extensively in leading venues. The most frequent publication outlets include:

  • Journal of Hydrology
  • Water
  • Environmental Science and Pollution Research
  • Earth Science Informatics
  • Research Square (Research Square)

The following recent papers illustrate the scope and focus of their research:

  • Ensemble machine learning paradigms in hydrology: A review, 2021, Journal of Hydrology
  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects, 2020, Journal of Hydrology
  • Groundwater level prediction using machine learning models: A comprehensive review, 2022, Neurocomputing
  • Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization, 2021, Knowledge-Based Systems
  • Climate Change, Water Quality and Water-Related Challenges: A Review with Focus on Pakistan, 2020, International Journal of Environmental Research and Public Health

The scientist has collaborated frequently with several coauthors. These include:

  • Özgür Kişi
  • Salim Heddam
  • Sungwon Kim
  • Amin Mahdavi-Meymand
  • Meysam Alizamir

Best Publications

  • Ensemble machine learning paradigms in hydrology: A review

    Mohammad Zounemat-Kermani;Okke Batelaan;Marzieh Fadaee;Reinhard Hinkelmann

  • Solar radiation prediction using different techniques: model evaluation and comparison

    Lunche Wang;Ozgur Kisi;Mohammad Zounemat-Kermani;Germán Ariel Salazar

  • Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models.

    Taher Rajaee;Seyed Ahmad Mirbagheri;Mohammad Zounemat-Kermani;Vahid Nourani

  • Daily streamflow prediction using optimally pruned extreme learning machine

    Rana Muhammad Adnan;Zhongmin Liang;Slavisa Trajkovic;Mohammad Zounemat-Kermani

  • Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

    Rana Muhammad Adnan;Zhongmin Liang;Salim Heddam;Mohammad Zounemat-Kermani

  • Using adaptive neuro-fuzzy inference system for hydrological time series prediction

    Mohammad Zounemat-Kermani;Mohammad Teshnehlab

  • 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

  • River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model

    Taher Rajaee;Vahid Nourani;Mohammad Zounemat-Kermani;Ozgur Kisi

  • Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system

    Mohammad Zounemat-Kermani;Ali-Asghar Beheshti;Behzad Ataie-Ashtiani;Saeed-Reza Sabbagh-Yazdi

  • Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

    Mohammad Zounemat-Kermani;Elena Matta;Andrea Cominola;Xilin Xia

  • A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions

    Meysam Alizamir;Sungwon Kim;Ozgur Kisi;Mohammad Zounemat-Kermani

  • Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

    Ozgur Kisi;Hadi Sanikhani;Mohammad Zounemat-Kermani;Faegheh Niazi

  • Pan evaporation modeling using six different heuristic computing methods in different climates of China

    Lunche Wang;Ozgur Kisi;Mohammad Zounemat-Kermani;Hui Li

  • Application of improved version of multi verse optimizer algorithm for modeling solar radiation

    Unknown

  • Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff

    Mohammad Zounemat-Kermani;Ozgur Kisi;Taher Rajaee

  • Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data

    Meysam Alizamir;Ozgur Kisi;Mohammad Zounemat-Kermani

  • Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

    Ozgur Kisi;Onur Genc;Semih Dinc;Mohammad Zounemat-Kermani

  • Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree

    Lunche Wang;Ozgur Kisi;Mohammad Zounemat-Kermani;Zhongmin Zhu;Zhongmin Zhu

  • Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

    Ozgur Kisi;Mohammad Zounemat-Kermani

  • Ensemble data mining modeling in corrosion of concrete sewer: A comparative study of network-based (MLPNN & RBFNN) and tree-based (RF, CHAID, & CART) models

    Mohammad Zounemat-Kermani;Dietmar Stephan;Matthias Barjenbruch;Reinhard Hinkelmann

  • Evaporation modelling using different machine learning techniques.

    Lunche Wang;Lunche Wang;Ozgur Kisi;Bo Hu;Muhammad Bilal

Frequent Co-Authors

Ozgur Kisi
Ozgur Kisi Ilia State University
Miklas Scholz
Miklas Scholz University of Salford
Lunche Wang
Lunche Wang China University of Geosciences
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Vahid Nourani
Vahid Nourani University of Tabriz
Vijay P. Singh
Vijay P. Singh Texas A&M University
Behrooz Keshtegar
Behrooz Keshtegar Zabol University
Jalal Shiri
Jalal Shiri University of Tabriz
Wei Gong
Wei Gong Wuhan University
Bo Hu
Bo Hu University of Iowa Health Care

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