World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
3762
World Ranking
12787
National Ranking
22

M. H. Fazel Zarandi publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where M. H. Fazel Zarandi sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 164 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

M. H. Fazel Zarandi D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where M. H. Fazel Zarandi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

M. H. Fazel Zarandi is affiliated with Amirkabir University of Technology in Iran. Their research spans several interdisciplinary fields with a focus on engineering, computer science, and business management. The scholar's work integrates techniques and methodologies from artificial intelligence, management information systems, and operations research to address challenges in supply chain and facility location problems.

Their published papers highlight applications in supply chain management, energy systems, and fuzzy optimization methods. Notable recent works include:

  • Mitigating bullwhip effect in an agent-based supply chain through a fuzzy reverse ultimatum game negotiation module (2021) in Applied Soft Computing
  • Modeling energy flow in natural gas networks using time series disaggregation and fuzzy systems tuned by particle swarm optimization (2020) in Applied Soft Computing
  • A fuzzy capacitated facility location-network design model: A hybrid firefly and invasive weed optimization (FIWO) solution (2020) in Iranian Journal of Fuzzy Systems
  • Mapping Crisp Structural Semantic Similarity Measures to Fuzzy Context: A Generic Approach (2020) in International Journal of Fuzzy Systems

Frequent co-authors of M. H. Fazel Zarandi include F. Shabany Moghadam, S. Askari, Nader Montazerin, Alireza Akhondi Asl, and Shahabeddin Sotudian.

The venues of publication predominantly feature applied and theoretical fuzzy systems and soft computing journals, with repeated contributions to Applied Soft Computing and Iranian Journal of Fuzzy Systems.

The main fields of study covered by this scholar's research are:

  • Engineering
  • Computer Science
  • Business, Management and Accounting

Key subfields include:

  • Artificial Intelligence
  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research
  • Electrical and Electronic Engineering

The main research topics explored in their work are:

  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Auction Theory and Applications
  • Energy Load and Power Forecasting
  • Process Optimization and Integration
  • Time Series Analysis and Forecasting
  • Facility Location and Emergency Management

Best Publications

  • A type-2 fuzzy rule-based expert system model for stock price analysis

    M. H. Fazel Zarandi;B. Rezaee;I. B. Turksen;E. Neshat

  • A hybrid modeling approach for forecasting the volatility of S&P 500 index return

    E. Hajizadeh;A. Seifi;M. H. Fazel Zarandi;I. B. Turksen

  • Fuzzy polynomial neural networks for approximation of the compressive strength of concrete

    M. H. Fazel Zarandi;I. B. Türksen;J. Sobhani;A. A. Ramezanianpour

  • Systematic image processing for diagnosing brain tumors: A Type-II fuzzy expert system approach

    M. H. Fazel Zarandi;M. Zarinbal;M. Izadi

  • Data-driven fuzzy modeling for Takagi-Sugeno-Kang fuzzy system

    Babak Rezaee;M.H. Fazel Zarandi

  • Relative entropy fuzzy c-means clustering

    M. Zarinbal;M. H. Fazel Zarandi;I. B. Turksen;I. B. Turksen

  • A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts

    M.H. Fazel Zarandi;A. Alaeddini;I. B. Turksen

  • A Fuzzy agent-based model for reduction of bullwhip effect in supply chain systems

    M.H. Fazel Zarandi;M. Pourakbar;I. B. Turksen

  • Fuzzy agent-based expert system for steel making process

    M.H. Fazel Zarandi;P. Ahmadpour

  • The large scale maximal covering location problem

    M. H. Fazel Zarandi;Soheil Davari;S. A. Haddad Sisakht

  • A state of the art review of intelligent scheduling

    Mohammad Hossein Fazel Zarandi;Ali Akbar Sadat Asl;Shahabeddin Sotudian;Oscar Castillo

  • A multi-agent system to solve the production–distribution planning problem for a supply chain: a genetic algorithm approach

    A. Kazemi;M. H. Fazel Zarandi;S. M. Moattar Husseini

  • A hybrid fuzzy intelligent agent-based system for stock price prediction

    M. H. Fazel Zarandi;Esmaeil Hadavandi;I. B. Turksen

  • Type-2 fuzzy modeling for desulphurization of steel process

    M.H. Fazel Zarandi;I.B. Türkşen;O. Torabi Kasbi

  • Fuzzy adaptive genetic algorithm for multi-objective assembly line balancing problems

    M.H. Alavidoost;Mosahar Tarimoradi;M.H. Fazel Zarandi

  • Designing a general type-2 fuzzy expert system for diagnosis of depression

    M. H. Fazel Zarandi;Shima Soltanzadeh;A. Mohammadi;Oscar Castillo

  • Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data

    S. Askari;N. Montazerin;M.H. Fazel Zarandi

  • Modified genetic algorithm for simple straight and U-shaped assembly line balancing with fuzzy processing times

    Unknown

  • A type-2 fuzzy c-regression clustering algorithm for Takagi-Sugeno system identification and its application in the steel industry

    M. H. Fazel Zarandi;R. Gamasaee;I. B. Turksen

  • A clustering based forecasting algorithm for multivariable fuzzy time series using linear combinations of independent variables

    S. Askari;N. Montazerin;M.H. Fazel Zarandi

  • A Fuzzy Rule-Based Expert System for Diagnosing Asthma

    M H Fazel Zarandi;M Zou Alnouri;M Moein;H Heydarnezhad

  • Multi-central general type-2 fuzzy clustering approach for pattern recognitions

    S. Malek Mohamadi Golsefid;M.H. Fazel Zarandi;I.B. Turksen

Frequent Co-Authors

I.B. Turksen
I.B. Turksen University of Toronto
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Fereidoon Moghadas Nejad
Fereidoon Moghadas Nejad Amirkabir University of Technology

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