World's Best Scientists 2026 revealed!
Chris Cornelis

Chris Cornelis

D-Index & Metrics

Computer Science

D-Index
54
Citations
9308
World Ranking
4647
National Ranking
49

Chris Cornelis 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 Chris Cornelis 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: 234 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Chris Cornelis 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 Chris Cornelis 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Chris Cornelis is affiliated with Ghent University in Belgium and has a significant body of work in the field of Computer Science, with a total of 115 publications. Their research spans several subfields including Computational Theory and Mathematics, Artificial Intelligence, Information Systems, Management Science and Operations Research, and Signal Processing.

The scientist's main research topics include:

  • Rough Sets and Fuzzy Logic
  • Data Mining Algorithms and Applications
  • Multi-Criteria Decision Making
  • Data Management and Algorithms
  • Fuzzy Logic and Control Systems
  • Imbalanced Data Classification Techniques
  • Advanced Algebra and Logic

Chris Cornelis has published frequently in several academic venues, with notable appearances in:

  • arXiv (Cornell University)
  • Fuzzy Sets and Systems
  • International Journal of Approximate Reasoning
  • Information Sciences
  • Annals of Computer Science and Information Systems

Among the recent papers authored or co-authored by Chris Cornelis are:

  • "Fuzzy extensions of the dominance-based rough set approach," 2020, International Journal of Approximate Reasoning
  • "Fuzzy rough sets based on fuzzy quantification," 2023, Fuzzy Sets and Systems
  • "Granular representation of OWA-based fuzzy rough sets," 2021, Fuzzy Sets and Systems
  • "Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony," 2023, Information Sciences
  • "Average Localised Proximity: A new data descriptor with good default one-class classification performance," 2021, Pattern Recognition

The scientist's frequent co-authors include Oliver Urs Lenz, Marko Palangetić, Salvatore Greco, Roman Słowiński, and Adnan Theerens. Collaborative work with these researchers appears to be a significant component of their publication record.

Chris Cornelis has also contributed to academic literature through book publications, including the book titled Rough Sets published in 2021 by Springer Science+Business Media.

Best Publications

  • On the representation of intuitionistic fuzzy t-norms and t-conorms

    G. Deschrijver;C. Cornelis;E.E. Kerre

  • Implication in intuitionistic fuzzy and interval-valued fuzzy set theory: construction, classification, application

    Chris Cornelis;Glad Deschrijver;Etienne E. Kerre

  • Trust- and Distrust-Based Recommendations for Controversial Reviews

    P Victor;C Cornelis;M D Cock;A M Teredesai

  • Attribute selection with fuzzy decision reducts

    Chris Cornelis;Richard Jensen;Germán Hurtado;Dominik lezak

  • Intuitionistic fuzzy rough sets: at the crossroads of imperfect knowledge

    Chris Cornelis;Martine De Cock;Etienne E. Kerre

  • Rough Sets and Intelligent Systems Paradigms

    M. Kryszkiewicz;C. Cornelis;D. Ciucci;J. Medina Moreno

  • Gradual trust and distrust in recommender systems

    Patricia Victor;Chris Cornelis;Martine De Cock;Paulo Pinheiro da Silva

  • Advances and challenges in interval-valued fuzzy logic

    C. Cornelis;G. Deschrijver;E. E. Kerre

  • Implementing algorithms of rough set theory and fuzzy rough set theory in the R package “RoughSets”

    Lala Septem Riza;Andrzej Janusz;Christoph Bergmeir;Chris Cornelis

  • Trust and Recommendations

    Patricia Victor;Martine De Cock;Chris Cornelis

  • Vaguely Quantified Rough Sets

    Chris Cornelis;Martine Cock;Anna Maria Radzikowska

  • Practical aggregation operators for gradual trust and distrust

    Patricia Victor;Chris Cornelis;Martine De Cock;Enrique Herrera-Viedma

  • Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection

    Joaquín Derrac;Chris Cornelis;Salvador García;Francisco Herrera

  • Fuzzy-rough nearest neighbour classification and prediction

    Richard Jensen;Chris Cornelis

  • Fuzzy neighborhood operators based on fuzzy coverings

    Lynn D'eer;Chris Cornelis;Llus Godo

  • Fuzzy Rough Sets: The Forgotten Step

    M. De Cock;C. Cornelis;E.E. Kerre

  • One-and-only item recommendation with fuzzy logic techniques

    Chris Cornelis;Jie Lu;Xuetao Guo;Guanquang Zhang

  • Sinha-Dougherty approach to the fuzzification of set inclusion revisited

    Chris Cornelis;Carol Van der Donck;Etienne Kerre

  • A New Approach to Fuzzy-Rough Nearest Neighbour Classification

    Richard Jensen;Chris Cornelis

  • IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification

    Enislay Ramentol;Sarah Vluymans;Nele Verbiest;Yaile Caballero

  • Filters of residuated lattices and triangle algebras

    B. Van Gasse;G. Deschrijver;C. Cornelis;E. E. Kerre

Frequent Co-Authors

Etienne Kerre
Etienne Kerre Ghent University
Martine De Cock
Martine De Cock University of Washington
Francisco Herrera
Francisco Herrera University of Granada
Yvan Saeys
Yvan Saeys Ghent University
Richard Jensen
Richard Jensen Aberystwyth University
Sebastián Ventura
Sebastián Ventura University of Córdoba
Enrique Herrera-Viedma
Enrique Herrera-Viedma University of Granada
Veronique Hoste
Veronique Hoste Ghent University
Salvador García
Salvador García University of Granada
Lluís Godo
Lluís Godo Spanish National Research Council

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