World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
11650
World Ranking
4107
National Ranking
47

Axel Legay 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 Axel Legay 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: 461 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Axel Legay 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 Axel Legay 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Axel Legay is affiliated with the Université Catholique de Louvain in Belgium and specializes in Computer Science with an emphasis on Software. Their research covers multiple subfields, including Software, Artificial Intelligence, Computational Theory and Mathematics, Information Systems, and Signal Processing.

Legay has contributed extensively to a variety of topics within computer science research. Key areas of work include:

  • Formal Methods in Verification
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Advanced Software Engineering Methodologies
  • Software Engineering Research
  • Model-Driven Software Engineering Techniques

Their publication record spans 233 papers, with frequent publications in venues such as:

  • arXiv (Cornell University)
  • International Journal on Software Tools for Technology Transfer
  • Zenodo (CERN European Organization for Nuclear Research)
  • Science of Computer Programming
  • Computers & Security

Selected recent papers illustrate the diversity of their research contributions:

  • "A framework for quantitative modeling and analysis of highly (re)configurable systems," 2020, Digital Access to Libraries
  • "Optimizing symbolic execution for malware behavior classification," 2020, Computers & Security
  • "Exploring the ERTMS/ETCS full moving block specification: an experience with formal methods," 2022, International Journal on Software Tools for Technology Transfer
  • "Combined software and hardware fault injection vulnerability detection," 2020, Innovations in Systems and Software Engineering
  • "Statistical Model Checking of Dynamic Networks of Stochastic Hybrid Automata," 2024, Technische Universität Berlin - Universitätsbibliothek

Axel Legay has collaborated extensively with several frequent coauthors, including:

  • Charles-Henry Bertrand Van Ouytsel
  • Eduard Baranov
  • Thomas Given-Wilson
  • Maurice H. ter Beek
  • Kim G. Larsen

Throughout their career, Legay's work intersects formal verification techniques, software testing, and advanced methodologies for software engineering and malware behavior understanding. Their research outputs contribute to both theoretical foundations and applied aspects in these domains.

Best Publications

  • Statistical model checking: an overview

    Axel Legay;Benoît Delahaye;Saddek Bensalem

  • Uppaal SMC tutorial

    Alexandre David;Kim G. Larsen;Axel Legay;Marius Mikuăionis

  • Model checking lots of systems: efficient verification of temporal properties in software product lines

    Andreas Classen;Patrick Heymans;Pierre-Yves Schobbens;Axel Legay

  • A Bayesian Approach to Model Checking Biological Systems

    Sumit K. Jha;Edmund M. Clarke;Christopher J. Langmead;Axel Legay

  • Featured Transition Systems: Foundations for Verifying Variability-Intensive Systems and Their Application to LTL Model Checking

    A. Classen;M. Cordy;Pierre-Yves Schobbens;P. Heymans

  • Symbolic model checking of software product lines

    Andreas Classen;Patrick Heymans;Pierre-Yves Schobbens;Axel Legay

  • Timed I/O automata: a complete specification theory for real-time systems

    Alexandre David;Kim G. Larsen;Axel Legay;Ulrik Nyman

  • Statistical model checking for networks of priced timed automata

    Alexandre David;Kim G. Larsen;Axel Legay;Marius Mikučionis

  • Time for statistical model checking of real-time systems

    Alexandre David;Kim G. Larsen;Axel Legay;Marius Mikučionis

  • UPPAAL-SMC: Statistical Model Checking for Priced Timed Automata ∗

    Peter E. Bulychev;Alexandre David;Kim Guldstrand Larsen;Marius Mikucionis

  • Iterating Transducers in the Large

    Bernard Boigelot;Axel Legay;Pierre Wolper

  • Model checking software product lines with SNIP

    Andreas Classen;Maxime Cordy;Patrick Heymans;Patrick Heymans;Axel Legay;Axel Legay

  • Statistical Model Checking in BioLab: Applications to the Automated Analysis of T-Cell Receptor Signaling Pathway

    Edmund M. Clarke;James R. Faeder;Christopher J. Langmead;Leonard A. Harris

  • A Modal Interface Theory for Component-based Design

    Jean-Baptiste Raclet;Eric Badouel;Albert Benveniste;Benoît Caillaud

  • Moving from specifications to contracts in component-based design

    Sebastian S. Bauer;Alexandre David;Rolf Hennicker;Kim Guldstrand Larsen

  • On the Performance of Convolutional Neural Networks for Side-Channel Analysis

    Stjepan Picek;Ioannis Petros Samiotis;Jaehun Kim;Annelie Heuser

  • Statistical abstraction and model-checking of large heterogeneous systems

    Ananda Basu;Saddek Bensalem;Marius Bozga;Benoît Caillaud

  • PLASMA-lab: a flexible, distributable statistical model checking library

    Benoît Boyer;Kevin Corre;Axel Legay;Sean Sedwards

  • Beyond boolean product-line model checking: dealing with feature attributes and multi-features

    Maxime Cordy;Pierre-Yves Schobbens;Patrick Heymans;Axel Legay

  • Importance Splitting for Statistical Model Checking Rare Properties

    Cyrille Jegourel;Axel Legay;Sean Sedwards

  • Stochastic Semantics and Statistical Model Checking for Networks of Priced Timed Automata

    Alexandre David;Kim Guldstrand Larsen;Marius Mikucionis;Danny Bøgsted Poulsen

Frequent Co-Authors

Kim Guldstrand Larsen
Kim Guldstrand Larsen Aalborg University
Alexandre David
Alexandre David Aalborg University
Patrick Heymans
Patrick Heymans University of Namur
Marius Bozga
Marius Bozga Grenoble Alpes University
Saddek Bensalem
Saddek Bensalem Grenoble Alpes University
Andrzej Wąsowski
Andrzej Wąsowski IT University of Copenhagen
Pierre Wolper
Pierre Wolper University of Liège
Roberto Passerone
Roberto Passerone University of Trento
Luca de Alfaro
Luca de Alfaro University of California, Santa Cruz
Thais Batista
Thais Batista Federal University of Rio Grande do Norte

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