World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
10286
World Ranking
7110
National Ranking
156

Vincent Danos 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 Vincent Danos 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: 162 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Vincent Danos 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 Vincent Danos 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Vincent Danos is affiliated with the École Normale Supérieure in France and conducts research primarily in the field of Computer Science. Their work spans multiple subfields including Molecular Biology, Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, and Information Systems.

The scientist's research topics include:

  • DNA and Biological Computing
  • Gene Regulatory Network Analysis
  • Stochastic Gradient Optimization Techniques
  • Advanced Database Systems and Queries
  • COVID-19 epidemiological studies
  • Complex Systems and Time Series Analysis
  • Simulation Techniques and Applications

Vincent Danos has contributed to several scholarly publications. Notable papers include:

  • "The Born supremacy: quantum advantage and training of an Ising Born machine" (2020), published in npj Quantum Information
  • "Combinatorial Conversion and Moment Bisimulation for Stochastic Rewriting Systems" (2020), published in HAL (Le Centre pour la Communication Scientifique Directe)
  • "Compositional modelling of immune response and virus transmission dynamics" (2022), published in Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
  • "Front Matter, Table of Contents, Preface, Conference Organization" (2020), published by Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Rule-based epidemic models" (2021), published in Journal of Theoretical Biology

The frequent coauthors associated with Vincent Danos are Julien Prat, Andrea Canidio, Nicolas Behr, Ilias Garnier, and William Waites.

Publication venues that have frequently featured Vincent Danos's work include:

  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Technische Universität Berlin - Universitätsbibliothek
  • arXiv (Cornell University)
  • npj Quantum Information
  • HAL (Le Centre pour la Communication Scientifique Directe)

Best Publications

  • Disjunctive Tautologies as Synchronisation Schemes

    Vincent Danos;Jean-Louis Krivine

  • Formal molecular biology

    Vincent Danos;Cosimo Laneve

  • The structure of multiplicatives

    Vincent Danos;Laurent Regnier

  • Mechanistic links between cellular trade-offs, gene expression, and growth.

    Andrea Y. Weiße;Diego A. Oyarzún;Vincent Danos;Peter S. Swain

  • Rule-based modelling of cellular signalling

    Vincent Danos;Jérôme Feret;Walter Fontana;Russell Harmer

  • Reversible communicating systems

    Vincent Danos;Jean Krivine

  • Transactions in RCCS

    Vincent Danos;Jean Krivine

  • Internal coarse-graining of molecular systems

    Jérôme Feret;Vincent Danos;Jean Krivine;Russ Harmer

  • Scalable simulation of cellular signaling networks

    Vincent Danos;Jérôme Feret;Walter Fontana;Jean Krivine

  • Modeling and querying biomolecular interaction networks

    Nathalie Chabrier-Rivier;Marc Chiaverini;Vincent Danos;François Fages

  • The measurement calculus

    Vincent Danos;Elham Kashefi;Prakash Panangaden

  • A new deconstructive logic: linear logic

    Vincent Danos;Jean-Baptiste Joinet;Harold Schellinx

  • Probabilistic game semantics

    Vincent Danos;Russell S. Harmer

  • The Structure of Exponentials: Uncovering the Dynamics of Linear Logic Proofs

    Vincent Danos;Vincent Danos;Vincent Danos;Jean-Baptiste Joinet;Jean-Baptiste Joinet;Harold Schellinx;Harold Schellinx

  • Determinism in the one-way model

    Vincent Danos;Elham Kashefi

  • The Born supremacy: quantum advantage and training of an Ising Born machine

    Brian Coyle;Daniel Mills;Vincent Danos;Vincent Danos;Elham Kashefi;Elham Kashefi

  • Game Semantics & Abstract Machines.

    Vincent Danos;Hugo Herbelin;Laurent Regnier

  • Probabilistic coherence spaces as a model of higher-order probabilistic computation

    Vincent Danos;Thomas Ehrhard

  • Linear logic and elementary time

    Vincent Danos;Jean-Baptiste Joinet

  • LKQ and LKT: sequent calculi for second order logic based upon dual linear decompositions of classical implication

    Vincent Danos;Jean-Baptiste Joinet;Harold Schellinx

  • Abstract interpretation of cellular signalling networks

    Vincent Danos;Jérôme Feret;Walter Fontana;Jean Krivine

  • Formal Molecular Biology Done in CCS-R

    Vincent Danos;Jean Krivine

Frequent Co-Authors

Prakash Panangaden
Prakash Panangaden McGill University
Gordon Plotkin
Gordon Plotkin University of Edinburgh
Glynn Winskel
Glynn Winskel University of Cambridge
Reiko Heckel
Reiko Heckel University of Leicester
Jamie A. Davies
Jamie A. Davies University of Edinburgh
Maurice Herlihy
Maurice Herlihy Brown University
François Laviolette
François Laviolette Université Laval
Benedict Leimkuhler
Benedict Leimkuhler University of Edinburgh

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