World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5887
World Ranking
11614
National Ranking
20

Behrouz Minaei-Bidgoli 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 Behrouz Minaei-Bidgoli 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: 270 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Behrouz Minaei-Bidgoli 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 Behrouz Minaei-Bidgoli 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: 35 D-Index — 20th percentile

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

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

Overview

Behrouz Minaei-Bidgoli is affiliated with Iran University of Science and Technology in Iran. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Information Systems, Computer Networks and Communications, Statistical and Nonlinear Physics, and Computer Vision and Pattern Recognition.

Their work covers various main topics, including:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Complex Network Analysis Techniques
  • Text and Document Classification Technologies
  • Advanced Graph Neural Networks
  • Advanced Text Analysis Techniques
  • Recommender Systems and Techniques

Behrouz Minaei-Bidgoli has published extensively, including articles in frequent venues such as:

  • arXiv (Cornell University)
  • Research Square (Research Square)
  • The Journal of Supercomputing
  • Signal and Data Processing
  • DOAJ (DOAJ: Directory of Open Access Journals)

Among recent papers associated with their research interests are:

  • "The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education," 2021, Technology in Society
  • "DistBlockBuilding: A Distributed Blockchain-Based SDN-IoT Network for Smart Building Management," 2020, IEEE Access
  • "What is the impact of service quality on customers' satisfaction during COVID-19 outbreak? New findings from online reviews analysis," 2021, Telematics and Informatics
  • "Recommendation agents and information sharing through social media for coronavirus outbreak," 2021, Telematics and Informatics
  • "Application-specific clustering in wireless sensor networks using combined fuzzy firefly algorithm and random forest," 2022, Expert Systems with Applications

Coauthorship patterns indicate frequent collaborations with researchers including Rohollah Omidvar, Hamïd Parvïn, Payam Bahrani, Mitra Mirzarezaee, and Ahmad Keshavarz.

The scholar has also contributed to book publications, including a work titled "How to Design Optimization Algorithms by Applying Natural Behavioral Patterns," published in 2020 by BENTHAM SCIENCE PUBLISHERS eBooks.

Best Publications

  • Predicting student performance: an application of data mining methods with an educational Web-based system

    B. Minaei-Bidgoli;D. A. Kashy;G. Kortemeyer;W. F. Punch

  • Using genetic algorithms for data mining optimization in an educational web-based system

    Behrouz Minaei-Bidgoli;William F. Punch

  • Using data mining to detect health care fraud and abuse: a review of literature.

    Hossein Joudaki;Arash Rashidian;Behrouz Minaei-Bidgoli;Mahmood Mahmoodi

  • Adaptive clustering ensembles

    A. Topchy;B. Minaei-Bidgoli;A.K. Jain;W.F. Punch

  • Ensembles of partitions via data resampling

    B. Minaei-Bidgoli;A. Topchy;W.F. Punch

  • Multi objective association rule mining with genetic algorithm without specifying minimum support and minimum confidence

    Hamid Reza Qodmanan;Mahdi Nasiri;Behrouz Minaei-Bidgoli

  • Comparison of Classification Methods Based on the Type of Attributes and Sample Size

    Reza Entezari-Maleki;Arash Rezaei;Behrouz Minaei-Bidgoli

  • MKNN: Modified K-Nearest Neighbor

    Hamid Parvin;Hosein Alizadeh;Behrouz Minaei-Bidgoli

  • Optimizing multi-objective PSO based feature selection method using a feature elitism mechanism

    Maryam Amoozegar;Behrouz Minaei-Bidgoli

  • Mining numerical association rules via multi-objective genetic algorithms

    B. Minaei-Bidgoli;R. Barmaki;M. Nasiri

  • Effects of resampling method and adaptation on clustering ensemble efficacy

    Behrouz Minaei-Bidgoli;Hamid Parvin;Hamid Alinejad-Rokny;Hosein Alizadeh

  • Mining interesting contrast rules for a web-based educational system

    B. Minaei-Bidgoli;Pang-Ning Tan;W.F. Punch

  • The impact of coronavirus pandemic (COVID-19) on education: The role of virtual and remote laboratories in education.

    Rabab Ali Abumalloh;Shahla Asadi;Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Behrouz Minaei-Bidgoli

  • A comparison of resampling methods for clustering ensembles

    Behrouz Minaei-Bidgoli;Alexander P. Topchy;William F. Punch

  • DistBlockBuilding: A Distributed Blockchain-Based SDN-IoT Network for Smart Building Management

    Anichur Rahman;Mostofa Kamal Nasir;Ziaur Rahman;Amir Mosavi

  • What is the impact of service quality on customers’ satisfaction during COVID-19 outbreak? New findings from online reviews analysis

    Mehrbakhsh Nilashi;Mehrbakhsh Nilashi;Rabab Ali Abumalloh;Abdullah Alghamdi;Behrouz Minaei-Bidgoli

  • Cluster ensemble selection based on a new cluster stability measure

    Hosein Alizadeh;Behrouz Minaei-Bidgoli;Hamid Parvin

  • PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA

    Behrouz Minaei-Bidgoli;Deborah A. Kashy;Gerd Kortemeyer;William F. Punch

  • negFIN: An efficient algorithm for fast mining frequent itemsets

    Nader Aryabarzan;Behrouz Minaei-Bidgoli;Mohammad Teshnehlab

  • A clustering ensemble framework based on selection of fuzzy weighted clusters in a locally adaptive clustering algorithm

    Hamid Parvin;Behrouz Minaei-Bidgoli

Frequent Co-Authors

Hamid Parvin
Hamid Parvin Islamic Azad University, Tehran
William F. Punch
William F. Punch Michigan State University
Mahmood Fathy
Mahmood Fathy Iran University of Science and Technology
Arash Rashidian
Arash Rashidian World Health Organization
Deborah A. Kashy
Deborah A. Kashy Michigan State University
Mohammad Teshnehlab
Mohammad Teshnehlab K.N.Toosi University of Technology
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Aldo Gangemi
Aldo Gangemi University of Bologna
Pang-Ning Tan
Pang-Ning Tan Michigan State University
Daoqiang Zhang
Daoqiang Zhang Nanjing University of Aeronautics and Astronautics

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