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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
61
Citations
16263
World Ranking
3048
National Ranking
37

Oscar Cordón 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 Oscar Cordón 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: 329 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Oscar Cordón 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 Oscar Cordón 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: 61 D-Index — 79th percentile

79% 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

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2018 - IEEE Fellow For contributions to genetic and evolutionary fuzzy systems

Overview

Oscar Cordón is affiliated with the University of Granada in Spain and has contributed extensively to the field of computer science, with a particular focus on statistical and nonlinear physics, artificial intelligence, computer vision and pattern recognition, sociology and political science, and marketing.

Their research covers several key topics, including:

  • Opinion Dynamics and Social Influence
  • Complex Network Analysis Techniques
  • Digital Marketing and Social Media
  • Forensic Anthropology and Bioarchaeology Studies
  • Generative Adversarial Networks and Image Synthesis
  • Autopsy Techniques and Outcomes
  • Explainable Artificial Intelligence (XAI)

Oscar Cordón has published research in several venues, with frequent publication appearances in:

  • arXiv (Cornell University)
  • Information Fusion
  • Information Sciences
  • IEEE Computational Intelligence Magazine
  • SSRN Electronic Journal

Their collaborative work includes repeated partnerships with coauthors such as Manuel Chica, Pablo Mesejo, Jesús Giráldez-Cru, Javier Fumanal-Idocin, and Humberto Bustince.

Some of their recent papers are:

  • "Evolutionary multiobjective optimization to target social network influentials in viral marketing" (2020), published in Expert Systems with Applications
  • "Marketing analysis of wineries using social collective behavior from users' temporal activity on Twitter" (2020), published in Information Processing & Management
  • "Community detection and social network analysis based on the Italian wars of the 15th century" (2020), published in Future Generation Computer Systems
  • "A quick GRASP-based method for influence maximization in social networks" (2021), published in Journal of Ambient Intelligence and Humanized Computing
  • "Inteligencia Artificial en Educación Superior: Oportunidades y Riesgos" (2023), published in Revista Interuniversitaria de Investigación en Tecnología Educativa

Oscar Cordón has been recognized as an IEEE Fellow since 2018 for contributions to genetic and evolutionary fuzzy systems.

Best Publications

  • Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

    Oscar Cordón;Francisco Herrera;Frank Hoffmann;Luis Magdalena

  • Ten years of genetic fuzzy systems: current framework and new trends

    Oscar Cordón;Fernando A. C. Gomide;Francisco Herrera;Frank Hoffmann

  • Ten years of genetic fuzzy systems: current framework and new trends

    O. Cordon;F. Herrera;F. Gomide;F. Hoffmann

  • Advances in Soft Computing

    Jose Manuel Benítez;Oscar Cordón;Frank Hoffmann;Rajkumar Roy

  • A proposal on reasoning methods in fuzzy rule-based classification systems

    Oscar Cordón;María José del Jesus;Francisco Herrera

  • A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

    Oscar Cordón

  • A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP

    Carlos García-Martínez;Oscar Cordón;Francisco Herrera

  • Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base

    O. Cordon;F. Herrera;P. Villar

  • Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction

    J. Casillas;O. Cordon;M.J. del Jesus;F. Herrera

  • A Three-Stage Evolutionary Process for Learning Descriptive and Approximate Fuzzy-Logic-Controller Knowledge Bases From Examples*

    Oscar Cordón;Francisco Herrera

  • Linguistic modeling by hierarchical systems of linguistic rules

    O. Cordon;F. Herrera;I. Zwir

  • Interpretability Improvements to Find the Balance Interpretability-Accuracy in Fuzzy Modeling: An Overview

    Jorge Casillas;Oscar Cordón;Francisco Herrera;Luis Magdalena

  • Applicability of the fuzzy operators in the design of fuzzy logic controllers

    O. Cordón;F. Herrera;A. Peregrín

  • Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?

    Alberto Fernandez;Francisco Herrera;Oscar Cordon;Maria Jose del Jesus

  • A proposal for improving the accuracy of linguistic modeling

    O. Cordon;F. Herrera

  • Accuracy Improvements in Linguistic Fuzzy Modeling

    Jorge Casillas;F. Herrera;O. Cordon;L. Magdalena

  • Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems

    J. Casillas;O. Cordón;M. J. Del Jesus;F. Herrera

  • A model of fuzzy linguistic IRS based on multi-granular linguistic information

    E. Herrera-Viedma;O. Cordón;M. Luque;A.G. Lopez

  • Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods

    Oscar Cordón;María José del Jesus;Francisco Herrera

  • Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms

    Rafael Alcalá;Jose M. Benítez;Jorge Casillas;Oscar Cordón

  • Genetic fuzzy systems: evolutionary tuning and learning of fuzzy knowledge bases

    Hisao Ishibuchi

Frequent Co-Authors

Francisco Herrera
Francisco Herrera University of Granada
Luis Magdalena
Luis Magdalena Technical University of Madrid
Frank Hoffmann
Frank Hoffmann TU Dortmund University
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
María José del Jesus
María José del Jesus University of Jaén
Manuel Lozano
Manuel Lozano University of Granada
José Manuel Benítez
José Manuel Benítez University of Granada
Rafael Martí
Rafael Martí University of Valencia
Fernando Gomide
Fernando Gomide State University of Campinas
Humberto Bustince
Humberto Bustince Universidad Publica De Navarra

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