World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
27247
World Ranking
4678
National Ranking
2171

Patrick Cousot 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 Patrick Cousot 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: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Patrick Cousot 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 Patrick Cousot 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: 53 D-Index — 67th percentile

67% 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

  • 2020 - ACM Fellow For contributions to programming languages through the invention and development of abstract interpretation
  • 2018 - IEEE John von Neumann Medal “For introducing abstract interpretation, a powerful framework for automatically calculating program properties with broad application to verification and optimization.”
  • 2006 - Member of Academia Europaea
  • Ordre des Palmes académiques (Order of Academic Palms), France
  • Ordre des Palmes académiques (Order of Academic Palms), France
  • Ordre des Palmes académiques (Order of Academic Palms), France
  • Ordre des Palmes académiques (Order of Academic Palms), France
  • Ordre des Palmes académiques (Order of Academic Palms), France

Overview

Patrick Cousot is affiliated with New York University in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Artificial Intelligence, Computational Theory and Mathematics, Software, Computer Networks and Communications, and Hardware and Architecture.

Their research addresses multiple topics, notably:

  • Logic, programming, and type systems
  • Formal Methods in Verification
  • Security and Verification in Computing
  • Software Testing and Debugging Techniques
  • Distributed systems and fault tolerance
  • Polynomial and algebraic computation
  • Numerical Methods and Algorithms

Frequent coauthors collaborating with Cousot include Chaoqiang Deng and Jeffery Wang.

Publications have appeared in several venues, with multiple contributions to:

  • Proceedings of the ACM on Programming Languages
  • arXiv (Cornell University)
  • ACM Transactions on Programming Languages and Systems
  • Theoretical Computer Science

Recent papers authored by Patrick Cousot include:

  • Calculational Design of [In]Correctness Transformational Program Logics by Abstract Interpretation, 2024, Proceedings of the ACM on Programming Languages
  • Calculational design of a regular model checker by abstract interpretation, 2021, Theoretical Computer Science
  • Calculational Design of Hyperlogics by Abstract Interpretation, 2025, Proceedings of the ACM on Programming Languages
  • Asynchronous Correspondences Between Hybrid Trajectory Semantics, 2022, arXiv (Cornell University)

Among their recognized awards are:

  • ACM Fellow, 2020, for contributions to programming languages through the invention and development of abstract interpretation
  • IEEE John von Neumann Medal, 2018, for introducing abstract interpretation, a framework for automatically calculating program properties with application to verification and optimization
  • Member of Academia Europaea, 2006
  • Ordre des Palmes académiques (Order of Academic Palms), France

Best Publications

  • Abstract interpretation: a unified lattice model for static analysis of programs by construction or approximation of fixpoints

    Patrick Cousot;Radhia Cousot

  • Automatic discovery of linear restraints among variables of a program

    Patrick Cousot;Nicolas Halbwachs

  • Systematic design of program analysis frameworks

    Patrick Cousot;Radhia Cousot

  • Abstract Interpretation Frameworks

    Patrick Cousot;Radhia Cousot

  • Abstract interpretation and application to logic programs

    Patrick Cousot;Rahida Cousot

  • A static analyzer for large safety-critical software

    Bruno Blanchet;Patrick Cousot;Radhia Cousot;Jérome Feret

  • Static determination of dynamic properties of programs

    Patrick Cousot;Radhia Cousot

  • The ASTREÉ analyzer

    Patrick Cousot;Radhia Cousot;Jerôme Feret;Laurent Mauborgne

  • Comparing the Galois Connection and Widening/Narrowing Approaches to Abstract Interpretation

    Patrick Cousot;Radhia Cousot

  • Abstract interpretation

    Patrick Cousot

  • Semantic foundations of program analysis

    Patrick Cousot

  • Constructive versions of tarski's fixed point theorems

    Patrick Cousot;Radhia Cousot

  • Design and implementation of a special-purpose static program analyzer for safety-critical real-time embedded software

    Bruno Blanchet;Patrick Cousot;Radhia Cousot;Jérôme Feret

  • Inductive definitions, semantics and abstract interpretations

    Patrick Cousot;Radhia Cousot

  • Types as abstract interpretations

    Patrick Cousot

  • Proving program invariance and termination by parametric abstraction, lagrangian relaxation and semidefinite programming

    Patrick Cousot

  • Constructive design of a hierarchy of semantics of a transition system by abstract interpretation

    Patrick Cousot

  • Static determination of dynamic properties of recursive procedures

    Patrick Cousot;Radhia Cousot

  • Méthodes itératives de construction et d'approximation de points fixes d'opérateurs monotones sur un treillis, analyse sémantique des programmes

    Patrick Cousot

  • Modular Static Program Analysis

    Patrick Cousot;Radhia Cousot

  • Abstract Interpretation Based Formal Methods and Future Challenges

    Patrick Cousot

  • Constructive Design of a Hierarchy of Semantics of a Transition System by Abstract Interpretation (Extended Abstract)

    Patrick Cousot

Frequent Co-Authors

Radhia Cousot
Radhia Cousot Centre national de la recherche scientifique, CNRS
Bruno Blanchet
Bruno Blanchet French Institute for Research in Computer Science and Automation - INRIA
Manuel Fähndrich
Manuel Fähndrich Google (United States)
Jean-François Raskin
Jean-François Raskin Université Libre de Bruxelles
Tiziana Margaria
Tiziana Margaria University of Limerick
Nicolas Halbwachs
Nicolas Halbwachs Grenoble Alpes University
Byron Cook
Byron Cook Amazon (United States)
Marco Pistoia
Marco Pistoia JPMorgan Chase & Co (United States)
Flemming Nielson
Flemming Nielson Technical University of Denmark
Jonathan P. Bowen
Jonathan P. Bowen London South Bank University

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