World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Luxembourg
2026

D-Index & Metrics

Computer Science

D-Index
73
Citations
25775
World Ranking
1564
National Ranking
2

Dov M. Gabbay 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 Dov M. Gabbay 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: 649 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Dov M. Gabbay 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 Dov M. Gabbay 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: 73 D-Index — 89th percentile

89% 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

  • 2026 - Research.com Computer Science in Luxembourg Leader Award
  • 2025 - Research.com Computer Science in Luxembourg Leader Award
  • 2023 - Research.com Computer Science in Luxembourg Leader Award
  • 2022 - Research.com Computer Science in Luxembourg Leader Award
  • 2000 - Fellow of the Royal Society of Canada Academy of the Arts and Humanities

Overview

Dov M. Gabbay is associated with the University of Luxembourg in Luxembourg. Their primary field of study is Computer Science, with a specific focus on Artificial Intelligence, contributing to 48 publications in total. Within this broad domain, the scientist has specialized in various subfields including Artificial Intelligence, Political Science and International Relations, Management Science and Operations Research, Philosophy, and Computational Theory and Mathematics.

The main topics covered in their research include:

  • Logic, Reasoning, and Knowledge
  • Multi-Agent Systems and Negotiation
  • Topic Modeling
  • Natural Language Processing Techniques
  • Explainable Artificial Intelligence (XAI)
  • Semantic Web and Ontologies
  • Artificial Intelligence in Law

Their recent papers reflect these interests and include the following works:

  • "Forgetting an Argument" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "A self-explanatory contrastive logical knowledge learning method for sentiment analysis" (2023), published in Knowledge-Based Systems
  • "Ensuring reference independence and cautious monotony in abstract argumentation" (2021), published in International Journal of Approximate Reasoning
  • "A comprehensive account of the burden of persuasion in abstract argumentation" (2023), published in Journal of Logic and Computation
  • "Extraction of time-related expressions using text mining with application to Hebrew" (2024), published in PLoS ONE

The scientist frequently collaborates with a group of coauthors, among whom are:

  • Beishui Liao
  • Timotheus Kampik
  • Yulin Chen
  • Bo Yuan
  • Ringo Baumann

Publications by this researcher have appeared repeatedly in notable venues including:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Journal of Artificial Intelligence Research
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Knowledge-Based Systems

In addition to journal articles and conference papers, this researcher has contributed to book publications. A notable title is Women's Contemporary Readings of Medieval (and Modern) Arabic Philosophy, published by Springer Nature (Netherlands) in 2022.

Among the honors received, Dov M. Gabbay was named a Fellow of the Royal Society of Canada in 2000, recognized by the Academy of the Arts and Humanities.

Best Publications

  • Handbook of logic in artificial intelligence and logic programming (vol. 1)

    Dov M. Gabbay;C. J. Hogger;J. A. Robinson

  • On the temporal analysis of fairness

    Dov Gabbay;Amir Pnueli;Saharon Shelah;Jonathan Stavi

  • Handbook of Philosophical Logic

    Dov M. Gabbay;Franz Guenthner

  • Temporal Logic Mathematical Foundations and Computational Aspects

    Dov M. Gabbay;Ian Hodkinson;Mark Reynolds;Marcelo Finger

  • Many-Dimensional Modal Logics: Theory and Applications

    Dov M Gabbay;Agi Kurucz;Frank Wolter;Michael Zakharyaschev

  • Handbook of Logic in Artificial Intelligence and Logic Programming: Volume 3: Nonmonotonic Reasoning and Uncertain Reasoning

    Dov M. Gabbay;C. J. Hogger;J. A. Robinson

  • Inconsistency handling in multiperspective specifications

    A.C.W. Finkelstein;D. Gabbay;A. Hunter;J. Kramer

  • Dynamic Syntax: The Flow of Language Understanding

    Ruth M. Kempson;Wilfried Meyer-Viol;Dov M. Gabbay

  • Theoretical foundations for non-monotonic reasoning in expert systems

    D. Gabbay

  • Chapter 13 – Labelled Deductive Systems

    Dov M. Gabbay

  • The Declarative Past and Imperative Future: Executable Temporal Logic for Interactive Systems

    Dov M. Gabbay

  • Handbook of logic in computer science (vol. 2): background: computational structures

    S. Abramsky;Dov M. Gabbay;S. E. Maibaum

  • Handbook of tableau methods

    Marcello D'Agostino;Dov M. Gabbay;Reiner Hähnle;Joachim Posegga

  • A Logical Account of Formal Argumentation

    Martin W. A. Caminada;Dov M. Gabbay;Dov M. Gabbay

  • Semantical investigations in Heyting's intuitionistic logic

    Dov M. Gabbay

  • Neural-Symbolic Learning Systems: Foundations and Applications

    Artur S. d'Avila Garcez;Dov M. Gabbay;Krysia B. Broda

  • The reach of abduction : insight and trial

    Dov M. Gabbay;John Woods

  • The Reach of Abduction: Insight and Trial (A Practical Logic of Cognitive Systems, vol. 2)

    Dov Gabbay;J Woods

  • Handbook of the history of logic

    Dov M. Gabbay;John Woods

  • Proceedings of 16th European Conference on Artificial Intelligence, ECAI 2004

    Dov Gabbay;A d'Avila Garcez;L C Lamb

  • Handbook of logic in computer science.

    Samson Abramsky;Dov M. Gabbay;Thomas S. E. Maibaum

  • What is negation as failure

    Dov M. Gabbay

Frequent Co-Authors

Leendert van der Torre
Leendert van der Torre University of Luxembourg
Howard Barringer
Howard Barringer University of Manchester
Artur S. d'Avila Garcez
Artur S. d'Avila Garcez City, University of London
Guido Boella
Guido Boella University of Turin
Anthony Hunter
Anthony Hunter University College London
Serena Villata
Serena Villata French Institute for Research in Computer Science and Automation - INRIA
Michael Fisher
Michael Fisher University of Manchester
Samson Abramsky
Samson Abramsky University of Oxford
Daniel Lehmann
Daniel Lehmann Hebrew University of Jerusalem
Amir Pnueli
Amir Pnueli Weizmann Institute of Science

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to flexible learning and diverse career paths. For students concerned about academic requirements, there are online colleges that accept low gpa, making higher education more accessible than ever.

Those who wish to fast-track their education can look into an accelerated computer science degree for a quicker route into the tech workforce. Online programs also support shifting interests, allowing students to branch into related fields such as environmental science, which leads to careers in consulting, research, and policy. Discover what potential jobs await with a degree in this area through what jobs can you get with an environmental science degree.

For those passionate about sustainability and infrastructure, pursuing an environmental engineering degree online can lead to roles solving real-world environmental challenges—often in high demand across the USA and worldwide.

Best Scientists Citing Dov M. Gabbay

Trending Scientists

Recently Published Articles