World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
4308
World Ranking
6348
National Ranking
91

Mohammad Najafzadeh 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 Najafzadeh 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: 73 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Mohammad Najafzadeh 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 Najafzadeh 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Mohammad Najafzadeh is affiliated with the Graduate University of Advanced Technology in Iran. Their research predominantly spans the fields of Environmental Science and Engineering, with a focus on subfields such as Civil and Structural Engineering, Ecology, Environmental Engineering, Water Science and Technology, and Global and Planetary Change.

Their work covers several main topics including Hydraulic flow and structures, Hydrology and Sediment Transport Processes, Dam Engineering and Safety, Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Water Quality and Pollution Assessment, and Water Systems and Optimization.

Najafzadeh has contributed to the academic literature through multiple papers, some of the recent ones being:

  • Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models, 2021, Artificial Intelligence Review
  • A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters, 2021, Natural Resources Research
  • Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method, 2022, Computers & Geosciences
  • Flood Risk Mapping by Remote Sensing Data and Random Forest Technique, 2021, Water
  • Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions, 2020, Water Resources Management

Frequent co-authors collaborating with Najafzadeh include:

  • Mohammad Mahmoudi-Rad
  • Giuseppe Oliveto
  • Farshad Homaei
  • Sajad Basirian
  • Farid Saberi-Movahed

The main publication venues where Najafzadeh's work appears repeatedly are:

  • Water
  • Results in Engineering
  • Ocean Engineering
  • Shenakht Journal of Psychology and Psychiatry
  • Water Resources Management

In addition to journal articles, Najafzadeh has contributed to book publications, including a title published by the American Society of Civil Engineers entitled "Scouring at Bridge Piers Using Artificial Intelligence Models," scheduled for 2025.

Best Publications

  • Receiving More Accurate Predictions for Longitudinal Dispersion Coefficients in Water Pipelines: Training Group Method of Data Handling Using Extreme Learning Machine Conceptions

    Farid Saberi-Movahed;Mohammad Najafzadeh;Adel Mehrpooya

  • Scour prediction in long contractions using ANFIS and SVM

    Mohammad Najafzadeh;Amir Etemad-Shahidi;Siow Yong Lim

  • Flood Risk Mapping by Remote Sensing Data and Random Forest Technique

    Hadi Farhadi;Mohammad Najafzadeh

  • Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves

    Mohammad Najafzadeh;Hazi Mohammad Azamathulla

  • Comparison of group method of data handling based genetic programming and back propagation systems to predict scour depth around bridge piers

    M. Najafzadeh;Gh.-A. Barani

  • Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models

    Mohammad Najafzadeh;Mohammad Rezaie Balf;Esmat Rashedi

  • GMDH to predict scour depth around a pier in cohesive soils

    Mohammad Najafzadeh;Gholam-Abbas Barani;Hazi Mohammad Azamathulla

  • Techno-economic estimation of a non-cover box solar still with thermoelectric and antiseptic nanofluid using machine learning models

    Unknown

  • Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers

    Mohammad Najafzadeh;Ali Tafarojnoruz

  • Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods.

    Mohammad Najafzadeh;Alireza Ghaemi

  • NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects

    Mohammad Najafzadeh;Farid Saberi-Movahed;Saeed Sarkamaryan

  • Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates

    Mohammad Najafzadeh;Siow Yong Lim

  • Reliability assessment of water quality index based on guidelines of national sanitation foundation in natural streams: integration of remote sensing and data-driven models

    Mohammad Najafzadeh;Farshad Homaei;Hadi Farhadi

  • GMDH-GEP to predict free span expansion rates below pipelines under waves

    Mohammad Najafzadeh;Farid Saberi-Movahed

  • A Novel Multiple-Kernel Support Vector Regression Algorithm for Estimation of Water Quality Parameters

    Mohammad Najafzadeh;Saeid Niazmardi

  • Prediction of water quality parameters using evolutionary computing-based formulations

    M. Najafzadeh;A. Ghaemi;S. Emamgholizadeh

  • GMDH based back propagation algorithm to predict abutment scour in cohesive soils

    Mohammad Najafzadeh;Gholam-Abbas Barani;Masoud Reza Hessami Kermani

  • Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling

    Mohammad Najafzadeh;Gholam-Abbas Barani;Hazi Mohammad Azamathulla

  • Group method of data handling to predict scour depth around bridge piers

    Mohammad Najafzadeh;Hazi Mohammad Azamathulla

  • Neuro-fuzzy GMDH systems based evolutionary algorithms to predict scour pile groups in clear water conditions

    Mohammad Najafzadeh

  • Neuro-Fuzzy GMDH Approach to Predict Longitudinal Dispersion in Water Networks

    Mohammad Najafzadeh;Ahmed M. A. Sattar

  • Neuro-Fuzzy GMDH-Based Evolutionary Algorithms to Predict Flow Discharge in Straight Compound Channels

    Mohammad Najafzadeh;Abdolreza Zahiri

Frequent Co-Authors

Jalal Shiri
Jalal Shiri University of Tabriz
Bjørn Kløve
Bjørn Kløve University of Oulu
Amir Etemad-Shahidi
Amir Etemad-Shahidi Griffith University
Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Mehran Ameri
Mehran Ameri Shahid Bahonar University of Kerman

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