World's Best Scientists 2026 revealed!
Lionel C. Briand

Lionel C. Briand

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
98
Citations
39354
World Ranking
407
National Ranking
14

Lionel C. Briand 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 Lionel C. Briand 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: 509 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Lionel C. Briand 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 Lionel C. Briand 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: 98 D-Index — 97th percentile

97% 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

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2020 - ACM Fellow For contributions to automated software testing
  • 2010 - IEEE Fellow For contributions to testing of object-oriented software systems

Overview

Lionel C. Briand is affiliated with the University of Ottawa in Canada. Their research primarily lies within the field of Computer Science, encompassing a total of 319 publications. Within this domain, their work covers several subfields, including Software, Artificial Intelligence, Information Systems, Computer Networks and Communications, and Hardware and Architecture.

The scientist has contributed substantially to topics such as Software Testing and Debugging Techniques, Software System Performance and Reliability, Software Reliability and Analysis Research, Software Engineering Research, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, and Software Engineering Techniques and Practices.

Recent papers by Lionel C. Briand include:

  • "Test case selection and prioritization using machine learning: a systematic literature review" (2021, Empirical Software Engineering)
  • "Automatic Generation of Acceptance Test Cases From Use Case Specifications: An NLP-Based Approach" (2020, IEEE Transactions on Software Engineering)
  • "Black-Box Testing of Deep Neural Networks through Test Case Diversity" (2023, IEEE Transactions on Software Engineering)
  • "Efficient online testing for DNN-enabled systems using surrogate-assisted and many-objective optimization" (2022, Proceedings of the 44th International Conference on Software Engineering)
  • "Guidelines for assessing the accuracy of log message template identification techniques" (2022, Proceedings of the 44th International Conference on Software Engineering)

They have frequently collaborated with several co-authors, including Fabrizio Pastore, Domenico Bianculli, Seung Yeob Shin, Donghwan Shin, and Shiva Nejati, reflecting a broad collaborative network.

Lionel C. Briand has published extensively in key venues such as arXiv (Cornell University), IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, Zenodo (CERN European Organization for Nuclear Research), and Empirical Software Engineering.

Recognition for their work includes election as an ACM Fellow in 2020, with a noted contribution to automated software testing, and being named IEEE Fellow in 2010 for contributions to the testing of object-oriented software systems.

Best Publications

  • A validation of object-oriented design metrics as quality indicators

    V.R. Basili;L.C. Briand;W.L. Melo

  • A unified framework for coupling measurement in object-oriented systems

    L.C. Briand;J.W. Daly;J.K. Wust

  • Is mutation an appropriate tool for testing experiments

    J. H. Andrews;L. C. Briand;Y. Labiche

  • Property-based software engineering measurement

    L.C. Briand;S. Morasca;V.R. Basili

  • A practical guide for using statistical tests to assess randomized algorithms in software engineering

    Andrea Arcuri;Lionel Briand

  • Exploring the relationship between design measures and software quality in object-oriented systems

    Lionel C. Briand;Jürgen Wüst;John W. Daly;D. Victor Porter

  • A Unified Framework for Cohesion Measurement in Object-OrientedSystems

    Lionel C. Briand;John W. Daly;Jürgen Wüst

  • A Hitchhiker's guide to statistical tests for assessing randomized algorithms in software engineering

    Andrea Arcuri;Lionel Briand

  • Using Mutation Analysis for Assessing and Comparing Testing Coverage Criteria

    J.H. Andrews;L.C. Briand;Y. Labiche;A.S. Namin

  • A Systematic Review of the Application and Empirical Investigation of Search-Based Test Case Generation

    Shaukat Ali;Lionel C Briand;Hadi Hemmati;Rajwinder Kaur Panesar-Walawege

  • A systematic and comprehensive investigation of methods to build and evaluate fault prediction models

    Erik Arisholm;Lionel C. Briand;Eivind B. Johannessen

  • Dynamic coupling measurement for object-oriented software

    E. Arisholm;L.C. Briand;A. Foyen

  • An investigation into coupling measures for C

    Lionel Briand;Prem Devanbu;Walcelio Melo

  • How reuse influences productivity in object-oriented systems

    Victor R. Basili;Lionel C. Briand;Walcélio L. Melo

  • Assessing the applicability of fault-proneness models across object-oriented software projects

    L.C. Briand;W.L. Melo;J. Wust

  • An assessment and comparison of common software cost estimation modeling techniques

    L.C. Briand;K. El Emam;D. Surmann;I. Wieczorek

  • A UML-Based Approach to System Testing

    Lionel C. Briand;Yvan Labiche

  • Investigating quality factors in object-oriented designs: an industrial case study

    Lionel C. Briand;Jürgen Wüst;Stefan V. Ikonomovski;Hakim Lounis

  • A unified framework for cohesion measurement in object-oriented systems

    L.C. Briand;J.W. Daly;J. Wust

  • Is mutation an appropriate tool for testing experiments? [software testing]

    J.H. Andrews;L.C. Briand;Y. Labiche

  • A Unified Framework for Cohesion Measurement in Object-Oriented System

    Lionel C. Briand;John W. Daly;Jurgen Wust

Frequent Co-Authors

Yvan Labiche
Yvan Labiche Carleton University
Mehrdad Sabetzadeh
Mehrdad Sabetzadeh University of Ottawa
Shiva Nejati
Shiva Nejati University of Ottawa
Victor R. Basili
Victor R. Basili University of Maryland, College Park
Andrea Arcuri
Andrea Arcuri Kristiania University College
Shaukat Ali
Shaukat Ali Simula Research Laboratory
Sandro Morasca
Sandro Morasca University of Insubria
Annibale Panichella
Annibale Panichella Delft University of Technology
Richard Torkar
Richard Torkar University of Gothenburg
André van der Hoek
André van der Hoek University of California, Irvine

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