World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
16637
World Ranking
2207
National Ranking
126

Plamen Angelov 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 Plamen Angelov 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: 439 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Plamen Angelov 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 Plamen Angelov 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to neuro-fuzzy and autonomous learning systems

Overview

Plamen Angelov is a researcher affiliated with Lancaster University in the United Kingdom. Their primary field of study is Computer Science, with a specialization in Artificial Intelligence. Their research extends into subfields such as Computer Vision and Pattern Recognition, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Environmental Engineering.

The scientist's work covers a range of main topics, including:

  • Anomaly Detection Techniques and Applications
  • Fuzzy Logic and Control Systems
  • Adversarial Robustness in Machine Learning
  • Neural Networks and Applications
  • COVID-19 diagnosis using AI
  • Machine Learning and Data Classification
  • Advanced Neural Network Applications

Frequent co-authors in their collaborations include:

  • Sam Kwong
  • Enrique Herrera-Viedma
  • Gina Tang
  • Saeid Nahavandi
  • Karen Panetta

Plamen Angelov has published extensively in various reputable venues. The most frequent publication venues are:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Artificial Intelligence
  • International Multidisciplinary Scientific GeoConference SGEM

Selected recent papers include:

  • "Explainable artificial intelligence: an analytical review," 2021, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
  • "EXPLAINABLE-BY-DESIGN APPROACH FOR COVID-19 CLASSIFICATION VIA CT-SCAN," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World," 2021, IEEE Internet of Things Journal
  • "Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images," 2020, IEEE Access
  • "An evolving approach to data streams clustering based on typicality and eccentricity data analytics," 2020, Information Sciences

The researcher has contributed to several book publications. Publishers and published titles include:

  • Springer Science+Business Media: Artificial Neural Networks and Machine Learning - ICANN 2022 (multiple publications in 2022)
  • World Scientific: Handbook on Computer Learning and Intelligence (2021)
  • Springer International Publishing: Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

In 2016, Plamen Angelov was recognized as an IEEE Fellow for contributions to neuro-fuzzy and autonomous learning systems.

Best Publications

  • An approach to online identification of Takagi-Sugeno fuzzy models

    P.P. Angelov;D.P. Filev

  • Explainable artificial intelligence: an analytical review

    Plamen P. Angelov;Eduardo A. Soares;Richard M. Jiang;Nicholas I. Arnold

  • Evolving Fuzzy-Rule-Based Classifiers From Data Streams

    P.P. Angelov;Xiaowei Zhou

  • Optimization in an intuitionistic fuzzy environment

    Plamen P. Angelov

  • Evolving Intelligent Systems: Methodology and Applications

    Plamen Angelov;Dimitar P. Filev;Nik Kasabov

  • Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems

    Plamen P. Angelov

  • Evolving Fuzzy Systems.

    Plamen P. Angelov

  • Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models

    P. Angelov;D. Filev

  • Evolving Fuzzy Systems from Data Streams in Real-Time

    P. Angelov;Xiaowei Zhou

  • PANFIS: A Novel Incremental Learning Machine

    Mahardhika Pratama;Sreenatha G. Anavatti;Plamen P. Angelov;Edwin Lughofer

  • Extracting biological information with computational analysis of Fourier-transform infrared (FTIR) biospectroscopy datasets: current practices to future perspectives

    Júlio Trevisan;Plamen P Angelov;Paul L Carmichael;Andrew D Scott

  • Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

    Plamen P. Angelov

  • SARS-CoV-2 CT-scan dataset:A large dataset of real patients CT scans for SARS-CoV-2 identification

    Eduardo Soares;Plamen Angelov;Sarah Biaso;Michele Higa Froes

  • Towards explainable deep neural networks (xDNN).

    Plamen Angelov;Eduardo Almeida Soares

  • Evolving fuzzy classifiers using different model architectures

    P. Angelov;E. Lughofer;X. Zhou

  • Evolving Takagi‐Sugeno Fuzzy Systems from Streaming Data (eTS+)

    Plamen Angelov

  • Evolving Rule-Based Models

    Plamen P. Angelov

  • An approach for fuzzy rule-base adaptation using on-line clustering

    Plamen P. Angelov

  • A new type of simplified fuzzy rule-based system

    Plamen P. Angelov;Ronald R. Yager

  • Handling drifts and shifts in on-line data streams with evolving fuzzy systems

    E. Lughofer;P. Angelov

Frequent Co-Authors

Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Edwin Lughofer
Edwin Lughofer Johannes Kepler University of Linz
Francis Martin
Francis Martin University of Lorraine
Igor Škrjanc
Igor Škrjanc University of Ljubljana
Nikola Kasabov
Nikola Kasabov Auckland University of Technology
Jose C. Principe
Jose C. Principe University of Florida
David Hutchison
David Hutchison Lancaster University
Ronald R. Yager
Ronald R. Yager Iona University
Qiang Shen
Qiang Shen Aberystwyth University
Peter M. Atkinson
Peter M. Atkinson Lancaster University

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