World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
7292
World Ranking
10120
National Ranking
30

Leon Moonen 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 Leon Moonen 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Leon Moonen 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 Leon Moonen 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Leon Moonen is affiliated with the Simula Research Laboratory in Norway, contributing to the field of computer science with a focus on software engineering and related domains.

Their research spans multiple subfields of computer science, including:

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

The primary topics covered in their work are:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • Parallel Computing and Optimization Techniques
  • Topic Modeling
  • AI-based Problem Solving and Planning

Leon Moonen has published extensively, with a total of 48 publications mostly concentrated in computer science. Their frequent publication venues include:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Systems and Software
  • Proceedings of the Genetic and Evolutionary Computation Conference
  • ACM Transactions on Evolutionary Learning and Optimization

Recent papers authored or coauthored by Leon Moonen highlight their focus on software reliability, adaptive techniques, and automated program repair. Notable examples include:

  • "Fully Autonomous Programming with Large Language Models," 2023, Proceedings of the Genetic and Evolutionary Computation Conference
  • "Extending the range of bugs that automated program repair can handle," 2023, Journal of Systems and Software
  • "On Adaptive Change Recommendation," 2020, Journal of Systems and Software
  • "Towards More Reliable Automated Program Repair by Integrating Static Analysis Techniques," 2021, IEEE International Conference on Software Quality, Reliability and Security (QRS)
  • "Constructing a Knowledge Graph from Textual Descriptions of Software Vulnerabilities in the National Vulnerability Database," 2023, arXiv (Cornell University)

Collaboration has been a significant aspect of Moonen's work, with frequent coauthors including:

  • Anastasiia Grishina
  • Max Hort
  • Omar I. Al-Bataineh
  • David Binkley
  • Linas Vidziunas

Best Publications

  • A Systematic Survey of Program Comprehension through Dynamic Analysis

    B. Cornelissen;A. Zaidman;A. van Deursen;L. Moonen

  • Java quality assurance by detecting code smells

    E. van Emden;L. Moonen

  • The ASF+SDF Meta-environment: A Component-Based Language Development Environment

    Mark G. J. van den Brand;Arie van Deursen;Jan Heering;H. A. de Jong

  • The Asf+Sdf Meta-Environment: A Component-Based Language Development Environment

    M.G.J. van den Brand;A. van Deursen;J. Heering;H.A. de Jong

  • Generating robust parsers using island grammars

    L. Moonen

  • Refactoring test code

    Arie Deursen;Leon M.F. Moonen;A. Bergh;Gerard Kok

  • Do developers care about code smells? An exploratory survey

    Aiko Yamashita;Leon Moonen

  • Do code smells reflect important maintainability aspects

    Aiko Yamashita;Leon Moonen

  • Identifying aspects using fan-in analysis

    M. Marin;A. van Deursen;L. Moonen

  • Exploring the impact of inter-smell relations on software maintainability: an empirical study

    Aiko Yamashita;Leon Moonen

  • Understanding Execution Traces Using Massive Sequence and Circular Bundle Views

    B. Cornelissen;D. Holten;A. Zaidman;L. Moonen

  • CVEfixes: automated collection of vulnerabilities and their fixes from open-source software

    Guru Bhandari;Amara Naseer;Leon Moonen

  • Symphony: view-driven software architecture reconstruction

    A. van Deursen;C. Hofmeister;R. Koschke;L. Moonen

  • Execution trace analysis through massive sequence and circular bundle views

    Bas Cornelissen;Andy Zaidman;Danny Holten;Leon Moonen

  • Identifying Crosscutting Concerns Using Fan-In Analysis

    Marius Marin;Arie Van Deursen;Leon Moonen

  • To what extent can maintenance problems be predicted by code smell detection? - An empirical study

    Aiko Yamashita;Aiko Yamashita;Leon Moonen

  • The Video Store Revisited – Thoughts on Refactoring and Testing

    Arie van Deursen;Leon Moonen

  • A qualitative comparison of three aspect mining techniques

    M. Ceccato;M. Marin;K. Mens;L. Moonen

  • Lightweight impact analysis using island grammars

    L. Moonen

  • Exploring software systems

    L. Moonen

  • A Systematic Survey of Program Comprehension through Dynamic Analysis

    S.G.M. Cornelissen;A.E. Zaidman;A. Van Deursen;L. Moonen

  • Identifying aspects using fan-in analysis

    A.M. Marin;A. vanDeursen;L.M.F. Moonen

Frequent Co-Authors

Arie van Deursen
Arie van Deursen Delft University of Technology
Andy Zaidman
Andy Zaidman Delft University of Technology
Paolo Tonella
Paolo Tonella Universita della Svizzera Italiana
David Binkley
David Binkley Loyola University Maryland
Rainer Koschke
Rainer Koschke University of Bremen
Paul Klint
Paul Klint Centrum Wiskunde & Informatica
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Joost Visser
Joost Visser Leiden University
Eelco Visser
Eelco Visser Delft University of Technology
Reidar Conradi
Reidar Conradi Norwegian University of Science and Technology

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