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D-Index & Metrics

Computer Science

D-Index
31
Citations
4237
World Ranking
13632
National Ranking
5441

Margus Veanes 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 Margus Veanes 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Margus Veanes 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 Margus Veanes 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: 31 D-Index — 6th percentile

6% 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 Senior Member

Overview

Margus Veanes is affiliated with Microsoft in the United States, contributing to research primarily in Computer Science as well as Biochemistry, Genetics, and Molecular Biology. Their work spans multiple subfields including Computational Theory and Mathematics, Artificial Intelligence, Molecular Biology, Hardware and Architecture, and Software.

The scientist's research topics frequently engage with semigroups and automata theory, formal methods in verification, and logic, programming, and type systems. Other notable areas of focus include machine learning and algorithms, network packet processing and optimization, software testing and debugging techniques, and natural language processing techniques.

Margus Veanes has published several papers, with recent selections including:

  • Automata modulo theories, 2021, Communications of the ACM
  • Regex matching with counting-set automata, 2020, Proceedings of the ACM on Programming Languages
  • Derivative Based Nonbacktracking Real-World Regex Matching with Backtracking Semantics, 2023, Proceedings of the ACM on Programming Languages
  • Identification of ATF3 as a novel protective signature of quiescent colorectal tumor cells, 2023, Cell Death and Disease
  • Loss of heterozygosity of CYP2D6 enhances the sensitivity of hepatocellular carcinomas to talazoparib, 2024, EBioMedicine

The scientist has collaborated frequently with several coauthors, including Olli Saarikivi, Lenka Turoňová, Lukáš Holík, Ondřej Lengál, and Tomáš Vojnar. These collaborations reflect their engagement in diverse research networks and interdisciplinary topics.

Publications by Margus Veanes appear often in venues such as:

  • Proceedings of the ACM on Programming Languages
  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Communications of the ACM
  • Cell Death and Disease

The scientist was recognized as an ACM Senior Member in 2020.

Best Publications

  • Generating finite state machines from abstract state machines

    Wolfgang Grieskamp;Yuri Gurevich;Wolfram Schulte;Margus Veanes

  • Model-based testing of object-oriented reactive systems with spec explorer

    Margus Veanes;Colin Campbell;Wolfgang Grieskamp;Wolfram Schulte

  • Rex: Symbolic Regular Expression Explorer

    Margus Veanes;Peli de Halleux;Nikolai Tillmann

  • Fast and precise sanitizer analysis with BEK

    Pieter Hooimeijer;Benjamin Livshits;David Molnar;Prateek Saxena

  • Symbolic finite state transducers: algorithms and applications

    Margus Veanes;Pieter Hooimeijer;Benjamin Livshits;David Molnar

  • Model-Based Software Testing and Analysis with C#

    Jonathan Jacky;Margus Veanes;Colin Campbell;Wolfram Schulte

  • The two-variable guarded fragment with transitive relations

    H. Ganzinger;C. Meyer;M. Veanes

  • Minimization of symbolic automata

    Loris D'Antoni;Margus Veanes

  • Optimal strategies for testing nondeterministic systems

    Lev Nachmanson;Margus Veanes;Wolfram Schulte;Nikolai Tillmann

  • Testing of Software and Communicating Systems

    Alexandre Petrenko;Margus Veanes;Jan Tretmans;Wolfgang Grieskamp

  • Towards a Tool Environment for Model-Based Testing with AsmL

    Michael Barnett;Wolfgang Grieskamp;Lev Nachmanson;Wolfram Schulte

  • Online testing with model programs

    Margus Veanes;Colin Campbell;Wolfram Schulte;Nikolai Tillmann

  • Testing concurrent object-oriented systems with spec explorer

    Colin Campbell;Wolfgang Grieskamp;Lev Nachmanson;Wolfram Schulte

  • An evaluation of automata algorithms for string analysis

    Pieter Hooimeijer;Margus Veanes

  • Abstract communication model for distributed systems

    U. Glasser;Y. Gurevich;M. Veanes

  • Qex: symbolic SQL query explorer

    Margus Veanes;Nikolai Tillmann;Jonathan de Halleux

  • On the Undecidability of Second-Order Unification

    Jordi Levy;Margus Veanes

  • Diagnosing problems in distributed systems

    Siddhartha Sen;Joseph M. Joy;Nikolai Tillmann;Colin L. Campbell

  • The power of symbolic automata and transducers

    Loris D’Antoni;Margus Veanes

  • Play to test

    Andreas Blass;Yuri Gurevich;Lev Nachmanson;Margus Veanes

  • Towards a tool environment for model-based testing with AsmL

    Mike Barnett;Wolfgang Grieskamp;Lev Nachmanson;Wolfram Schulte

Frequent Co-Authors

Wolfram Schulte
Wolfram Schulte Microsoft (United States)
Nikolai Tillmann
Nikolai Tillmann Facebook (United States)
Nikolaj Bjørner
Nikolaj Bjørner Microsoft (United States)
Yuri Gurevich
Yuri Gurevich University of Michigan–Ann Arbor
David Molnar
David Molnar Microsoft (United States)
Benjamin Livshits
Benjamin Livshits Imperial College London
Alexandre Petrenko
Alexandre Petrenko Computer Research Institute of Montréal
Egon Börger
Egon Börger University of Pisa
Prateek Saxena
Prateek Saxena National University of Singapore
Eyal Ofek
Eyal Ofek Microsoft (United States)

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