World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
9676
World Ranking
7488
National Ranking
72

Serge Demeyer 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 Serge Demeyer 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: 261 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Serge Demeyer 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 Serge Demeyer 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: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Overview

Serge Demeyer is affiliated with the University of Antwerp in Belgium and specializes in the field of computer science, with a particular focus on software-related areas.

The primary fields of study in which Serge Demeyer is active include:

  • Computer Science

Within this broad field, they have contributed to several subfields, notably:

  • Software
  • Information Systems
  • Computer Networks and Communications
  • Signal Processing
  • Artificial Intelligence

Their work spans a variety of research topics connected to software engineering and analysis, such as:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Advanced Software Engineering Methodologies
  • Scientific Computing and Data Management

Serge Demeyer has published extensively, with a documented presence in multiple publication venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  • Proceedings of the ACM on software engineering.
  • Zenodo (CERN European Organization for Nuclear Research)
  • Technische Universität Berlin - Universitätsbibliothek

Recent papers authored or co-authored by Serge Demeyer include:

  • "Lightweight Visualisations of COBOL Code for Supporting Migration to SOA" (2024, Technische Universität Berlin - Universitätsbibliothek)
  • "Exploring actionable visualizations for environmental data: Air quality assessment of two Belgian locations" (2021, Environmental Modelling & Software)
  • "A comparative study of test code clones and production code clones" (2021, Journal of Systems and Software)
  • "AmPyfier: Test amplification in Python" (2022, Journal of Software Evolution and Process)
  • "Small-Amp: Test amplification in a dynamically typed language" (2022, Empirical Software Engineering)

Collaborative research is part of Serge Demeyer's academic activities, with frequent co-authors being:

  • Mutlu Beyazıt
  • Henrique Rocha
  • Coen De Roover
  • Mehrdad Abdi
  • John Businge

Best Publications

  • A language independent approach for detecting duplicated code

    S. Ducasse;M. Rieger;S. Demeyer

  • Object-oriented reengineering patterns

    Oscar Nierstrasz;Serge Demeyer

  • Predicting the severity of a reported bug

    Ahmed Lamkanfi;Serge Demeyer;Emanuel Giger;Bart Goethals

  • Finding refactorings via change metrics

    Serge Demeyer;Stéphane Ducasse;Oscar Nierstrasz

  • Challenges in software evolution

    T. Mens;M. Wermelinger;S. Ducasse;S. Demeyer

  • Software Evolution

    Tom Mens;Serge Demeyer

  • Comparing Mining Algorithms for Predicting the Severity of a Reported Bug

    Ahmed Lamkanfi;Serge Demeyer;Quinten David Soetens;Tim Verdonck

  • Mining Software Repositories to Study Co-Evolution of Production & Test Code

    A. Zaidman;B. Van Rompaey;S. Demeyer;A. van Deursen

  • Refactoring - improving coupling and cohesion of existing code

    B. Du Bois;S. Demeyer;J. Verelst

  • Formalizing refactorings with graph transformations

    Tom Mens;Niels Van Eetvelde;Serge Demeyer;Dirk Janssens

  • Studying the co-evolution of production and test code in open source and industrial developer test processes through repository mining

    Andy Zaidman;Bart Rompaey;Arie Deursen;Serge Demeyer

  • Formalising Behaviour Preserving Program Transformations

    Tom Mens;Serge Demeyer;Dirk Janssens

  • Future trends in software evolution metrics

    Tom Mens;Serge Demeyer

  • A hybrid reverse engineering approach combining metrics and program visualisation

    S. Demeyer;S. Ducasse;M. Lanza

  • On The Detection of Test Smells: A Metrics-Based Approach for General Fixture and Eager Test

    B. Van Rompaey;B. Du Bois;S. Demeyer;M. Rieger

  • A meta-model for language-independent refactoring

    S. Tichelaar;S. Ducasse;S. Demeyer;O. Nierstrasz

  • Towards automating source-consistent UML refactorings

    Pieter Van Gorp;Hans Stenten;Tom Mens;Serge Demeyer

  • Establishing Traceability Links between Unit Test Cases and Units under Test

    Bart Van Rompaey;Serge Demeyer

  • Studying software evolution information by visualizing the change history

    F. Van Rysselberghe;S. Demeyer

  • Evaluating clone detection techniques from a refactoring perspective

    F. Van Rysselberghe;S. Demeyer

Frequent Co-Authors

Stéphane Ducasse
Stéphane Ducasse University of Lille
Oscar Nierstrasz
Oscar Nierstrasz University of Bern
Andy Zaidman
Andy Zaidman Delft University of Technology
Tom Mens
Tom Mens University of Mons
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Bram Adams
Bram Adams Queen's University
Tom Dhaene
Tom Dhaene Ghent University
Yann-Gaël Guéhéneuc
Yann-Gaël Guéhéneuc Concordia University
Michel R. V. Chaudron
Michel R. V. Chaudron Eindhoven University of Technology

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