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Computer Science
Luxembourg
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 75 1421 1378 1 1 444 21772

Yves Le Traon publications per year

The chart shows the history of publications by Yves Le Traon between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yves Le Traon published across 31 years, from 1995 to 2025, averaging 15.9 papers a year. Output peaked at 44 publications in 2014. 36 of the 492 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 44. Peak 44 publications in 2014. 1995: 3 publications 1996: 2 publications 1997: 2 publications 1998: 2 publications 1999: 2 publications 2000: 4 publications 2001: 6 publications 2002: 5 publications 2003: 4 publications 2004: 6 publications 2005: 5 publications 2006: 8 publications 2007: 7 publications 2008: 10 publications 2009: 8 publications 2010: 11 publications 2011: 7 publications 2012: 21 publications 2013: 23 publications 2014: 44 publications 2015: 25 publications 2016: 36 publications 2017: 28 publications 2018: 27 publications 2019: 33 publications 2020: 23 publications 2021: 26 publications 2022: 35 publications 2023: 43 publications 2024: 23 publications 2025: 13 publications
1995 2025

492 publications in total across all disciplines

View publications per year as a table
Yves Le Traon: publications per year, 1995 to 2025
Year Publications
1995 3
1996 2
1997 2
1998 2
1999 2
2000 4
2001 6
2002 5
2003 4
2004 6
2005 5
2006 8
2007 7
2008 10
2009 8
2010 11
2011 7
2012 21
2013 23
2014 44
2015 25
2016 36
2017 28
2018 27
2019 33
2020 23
2021 26
2022 35
2023 43
2024 23
2025 13
Total 492
Download as CSV

Yves Le Traon 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 Yves Le Traon sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 442–451 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 444 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108 444
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Yves Le Traon 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 Yves Le Traon sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 74–75 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165 75
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
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Research.com Recognitions

  • 2026 - Research.com Computer Science in Luxembourg Leader Award
  • 2025 - Research.com Computer Science in Luxembourg Leader Award
  • 2023 - Research.com Computer Science in Luxembourg Leader Award
  • 2022 - Research.com Computer Science in Luxembourg Leader Award

Overview

Yves Le Traon is affiliated with the University of Luxembourg in Luxembourg. Their research primarily focuses on computer science, with a significant body of work in software engineering and related subfields.

The main fields of study for Yves Le Traon include:

  • Computer Science

Their research spans several subfields of study:

  • Software
  • Artificial Intelligence
  • Information Systems
  • Electrical and Electronic Engineering
  • Signal Processing

Yves Le Traon's work covers a variety of research topics, notably in software testing and debugging, software engineering research, and machine learning applications. The main topics they have worked on are:

  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Adversarial Robustness in Machine Learning
  • Software Reliability and Analysis Research
  • Advanced Malware Detection Techniques
  • Software System Performance and Reliability
  • Anomaly Detection Techniques and Applications

The scientist has coauthored numerous publications with several frequent collaborators, including:

  • Maxime Cordy
  • Mike Papadakis
  • Yuejun Guo
  • Qiang Hu
  • Xiaofei Xie

Yves Le Traon has contributed papers to a range of publication venues. Some of the most common venues for their work are:

  • arXiv (Cornell University)
  • Software Testing Verification and Reliability
  • ACM Transactions on Software Engineering and Methodology
  • Empirical Software Engineering
  • SSRN Electronic Journal

Their recent papers include:

  • Permissioned blockchain frameworks in the industry: A comparison, 2020, ICT Express
  • Test Selection for Deep Learning Systems, 2021, ACM Transactions on Software Engineering and Methodology
  • Multi-agent deep reinforcement learning based Predictive Maintenance on parallel machines, 2022, Robotics and Computer-Integrated Manufacturing
  • An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement, 2022, ACM Transactions on Software Engineering and Methodology
  • Killing Stubborn Mutants with Symbolic Execution, 2021, Open Repository and Bibliography (University of Luxembourg)

These publications reflect a consistent focus on software testing, deep learning, and reinforcement learning within industrial and academic contexts. The combination of topics and research venues indicates a multidisciplinary approach intersecting software engineering and artificial intelligence.

Best Publications

  • FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps

    Steven Arzt;Siegfried Rasthofer;Christian Fritz;Eric Bodden

  • AndroZoo: collecting millions of Android apps for the research community

    Kevin Allix;Tegawende F. Bissyande;Jacques Klein;Yves Le Traon

  • IccTA: detecting inter-component privacy leaks in Android apps

    Li Li;Alexandre Bartel;Tegawende F. Bissyande;Jacques Klein

  • Effective inter-component communication mapping in Android with Epicc: an essential step towards holistic security analysis

    Damien Octeau;Patrick McDaniel;Somesh Jha;Alexandre Bartel

  • A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications

    Sylvain Kubler;Jérémy Robert;William Derigent;Alexandre Voisin

  • Mutation Testing Advances: An Analysis and Survey

    Mike Papadakis;Marinos Kintis;Jie Zhang;Yue Jia

  • Automatic test generation: a use case driven approach

    C. Nebut;F. Fleurey;Y. Le Traon;J.-M. Jezequel

  • Refactoring UML Models

    Gerson Sunyé;Damien Pollet;Yves Le Traon;Jean-Marc Jézéquel

  • Static analysis of android apps

    Li Li;Tegawend F. Bissyand;Mike Papadakis;Siegfried Rasthofer

  • Metallaxis-FL: mutation-based fault localization

    Mike Papadakis;Yves Le Traon

  • FixMiner: Mining relevant fix patterns for automated program repair

    Anil Koyuncu;Kui Liu;Tegawendé François D Assise Bissyande;Dongsun Kim

  • Dexpler: converting Android Dalvik bytecode to Jimple for static analysis with Soot

    Alexandre Bartel;Jacques Klein;Yves Le Traon;Martin Monperrus

  • Automated and Scalable T-wise Test Case Generation Strategies for Software Product Lines

    Gilles Perrouin;Sagar Sen;Jacques Klein;Benoit Baudry

  • Improving test suites for efficient fault localization

    Benoit Baudry;Franck Fleurey;Yves Le Traon

  • Bypassing the Combinatorial Explosion: Using Similarity to Generate and Prioritize T-Wise Test Configurations for Software Product Lines

    Christopher Henard;Mike Papadakis;Gilles Perrouin;Jacques Klein

  • Comparing white-box and black-box test prioritization

    Christopher Henard;Mike Papadakis;Mark Harman;Yue Jia

  • Dexpler: Converting Android Dalvik Bytecode to Jimple for Static Analysis with Soot

    Alexandre Bartel;Jacques Klein;Martin Monperrus;Yves Le Traon

  • Semantic fuzzing with zest

    Rohan Padhye;Caroline Lemieux;Koushik Sen;Mike Papadakis

  • Efficient object-oriented integration and regression testing

    Y. Le Traon;T. Jeron;J.-M. Jezequel;P. Morel

  • Metamodel-based Test Generation for Model Transformations: an Algorithm and a Tool

    E. Brottier;F. Fleurey;J. Steel;B. Baudry

  • Trivial compiler equivalence: a large scale empirical study of a simple, fast and effective equivalent mutant detection technique

    Mike Papadakis;Yue Jia;Mark Harman;Yves Le Traon

Frequent Co-Authors

Jacques Klein
Jacques Klein University of Luxembourg
Mike Papadakis
Mike Papadakis University of Luxembourg
Tegawendé F. Bissyandé
Tegawendé F. Bissyandé University of Luxembourg
Benoit Baudry
Benoit Baudry University of Montreal
Jean-Marc Jézéquel
Jean-Marc Jézéquel University of Rennes
Martin Monperrus
Martin Monperrus Royal Institute of Technology
Franck Fleurey
Franck Fleurey Tellu IoT AS
David Lo
David Lo Singapore Management University
Mark Harman
Mark Harman University College London
Koushik Sen
Koushik Sen University of California, Berkeley

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