World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
7771
World Ranking
3509
National Ranking
48

Jalal Shiri 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 Jalal Shiri 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Jalal Shiri 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 Jalal Shiri 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Jalal Shiri is affiliated with the University of Tabriz in Iran, contributing research primarily within Environmental Science, Agricultural and Biological Sciences, and Engineering. Their work spans several interconnected subfields including Environmental Engineering, Global and Planetary Change, Soil Science, Artificial Intelligence, and Civil and Structural Engineering.

Their research addresses topics such as Hydrological Forecasting Using AI, Irrigation Practices and Water Management, Soil and Unsaturated Flow, Plant Water Relations and Carbon Dynamics, Hydrology and Watershed Management Studies, Solar Radiation and Photovoltaics, and Energy Load and Power Forecasting.

In terms of publication venues, Jalal Shiri has frequently published in Environmental Science and Pollution Research and the ISH Journal of Hydraulic Engineering, each with five publications. Contributions also appear in the Journal of Hydrology, Sustainability, and PLoS ONE.

Frequent collaborators include Sepideh Karimi, Özgür Kişi, Naser Shiri, Mohammad Hossein Kazemi, and Meysam Alizamir, with multiple co-authored works.

Selected recent papers demonstrate a focus on modeling and simulation related to solar radiation, groundwater quality, and irrigation systems:

  • Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models, 2020, Journal of Hydrology
  • Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios, 2021, PLoS ONE
  • Estimation of Reference Evapotranspiration Using Spatial and Temporal Machine Learning Approaches, 2021, Hydrology
  • Application of improved version of multi verse optimizer algorithm for modeling solar radiation, 2022, Energy Reports
  • Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform, 2023, Engineering Applications of Artificial Intelligence

Best Publications

  • Modeling rainfall-runoff process using soft computing techniques

    Ozgur Kisi;Jalal Shiri;Mustafa Tombul

  • Suspended sediment modeling using genetic programming and soft computing techniques

    Ozgur Kisi;Ali Hosseinzadeh Dailr;Mesut Cimen;Jalal Shiri

  • Forecasting daily lake levels using artificial intelligence approaches

    Ozgur Kisi;Jalal Shiri;Bagher Nikoofar

  • Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model

    Jalal Shiri;Ozgur Kisi

  • Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

    Jalal Shiri;Jalal Shiri;Özgur Kişi;Özgur Kişi;Gorka Landeras;José Javier López;José Javier López

  • Predicting groundwater level fluctuations with meteorological effect implications-A comparative study among soft computing techniques

    Jalal Shiri;Ozgur Kisi;Heesung Yoon;Kang-Kun Lee

  • Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models

    Ozgur Kisi;Jalal Shiri

  • Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks

    Mohammad Ali Ghorbani;Rahman Khatibi;Ali Aytek;Oleg Makarynskyy

  • Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

    Jalal Shiri;Amir Hossein Nazemi;Ali Ashraf Sadraddini;Gorka Landeras

  • Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

    Jalal Shiri;ÖZgur KişI

  • Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia

    Sepideh Karimi;Ozgur Kisi;Jalal Shiri;Oleg Makarynskyy

  • River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

    Ozgur Kisi;Jalal Shiri

  • Modeling reference evapotranspiration with calculated targets. Assessment and implications

    Pau Martí;Pablo González-Altozano;Ramón López-Urrea;Luis A. Mancha

  • Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

    Gorka Landeras;José Javier López;Ozgur Kisi;Jalal Shiri

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

    Unknown

  • A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm

    Ozgur Kisi;Jalal Shiri;Sepideh Karimi;Shahaboddin Shamshirband

  • Soil moisture simulation using hybrid artificial intelligent model: Hybridization of adaptive neuro fuzzy inference system with grey wolf optimizer algorithm

    Saman Maroufpoor;Eisa Maroufpoor;Omid Bozorg-Haddad;Jalal Shiri

  • Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

    Jalal Shiri;Ali Ashraf Sadraddini;Amir Hossein Nazemi;Ozgur Kisi

  • Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran

    Jalal Shiri

  • Application of Artificial Intelligence to Estimate Daily Pan Evaporation Using Available and Estimated Climatic Data in the Khozestan Province (South Western Iran)

    Jalal Shiri;Jalal Shiri;Özgur Kişi;Özgur Kişi

  • Modeling energy dissipation over stepped spillways using machine learning approaches

    Kiyoumars Roushangar;Samira Akhgar;Farzin Salmasi;Jalal Shiri

Frequent Co-Authors

Ozgur Kisi
Ozgur Kisi Ilia State University
Mohammad Zounemat-Kermani
Mohammad Zounemat-Kermani Shahid Bahonar University of Kerman
Vahid Nourani
Vahid Nourani University of Tabriz
Vijay P. Singh
Vijay P. Singh Texas A&M University
Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Mohammad Najafzadeh
Mohammad Najafzadeh Graduate University of Advanced Technology
Bahram Gharabaghi
Bahram Gharabaghi University of Guelph
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Dalibor Petković
Dalibor Petković University of Nis

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