World's Best Scientists 2026 revealed!
Martin P. Robillard

Martin P. Robillard

D-Index & Metrics

Computer Science

D-Index
52
Citations
10088
World Ranking
5116
National Ranking
201

Martin P. Robillard 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 Martin P. Robillard 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Martin P. Robillard 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 Martin P. Robillard 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: 52 D-Index — 65th percentile

65% 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

  • 2010 - ACM Senior Member

Overview

Martin P. Robillard is affiliated with McGill University in Canada and has contributed extensively to the field of Computer Science, with a focus on software engineering research. Their work spans various subfields such as Information Systems, Computer Science Applications, Artificial Intelligence, Software, and Communication.

The main topics addressed in their research include software engineering research, software engineering techniques and practices, scientific computing and data management, wikis in education and collaboration, open source software innovations, open education and e-learning, and software testing and debugging techniques.

Martin P. Robillard's recent scholarly output features papers published primarily in recognized venues such as ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, Journal of Systems and Software, and others. Notable publications include:

  • Communicating Study Design Trade-offs in Software Engineering (2024) - ACM Transactions on Software Engineering and Methodology
  • Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto (2024) - Journal of Systems and Software
  • How programmers find online learning resources (2022) - Empirical Software Engineering
  • A study of documentation for software architecture (2023) - Empirical Software Engineering
  • Information correspondence between types of documentation for APIs (2020) - Empirical Software Engineering

Frequent coauthors collaborating with Martin P. Robillard include Mathieu Nassif, Deeksha M. Arya, Jin Guo, Neil Ernst, and Klaas-Jan Stol. These collaborations suggest a broad network within software engineering and empirical computing research.

The primary publication outlets for their work are diverse, with a significant number of papers appearing in venues such as Zenodo, Empirical Software Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and arXiv.

Martin P. Robillard has been recognized as an ACM Senior Member since 2010, indicating professional affiliation and recognition within the computing research community.

Best Publications

  • Recommendation Systems for Software Engineering

    Martin Robillard;Robert Walker;Thomas Zimmermann

  • What Makes APIs Hard to Learn? Answers from Developers

    M.P. Robillard

  • Concern graphs: finding and describing concerns using structural program dependencies

    Martin P. Robillard;Gail C. Murphy

  • A field study of API learning obstacles

    Martin P. Robillard;Robert Deline

  • How effective developers investigate source code: an exploratory study

    M.P. Robillard;W. Coelho;G.C. Murphy

  • Representing concerns in source code

    Martin P. Robillard;Gail C. Murphy

  • Recommending Adaptive Changes for Framework Evolution

    Barthélémy Dagenais;Martin P. Robillard

  • Tracking Code Clones in Evolving Software

    Ekwa Duala-Ekoko;Martin P. Robillard

  • Augmenting API documentation with insights from stack overflow

    Christoph Treude;Martin P. Robillard

  • Automated API Property Inference Techniques

    Martin P. Robillard;Eric Bodden;David Kawrykow;Mira Mezini

  • Non-essential changes in version histories

    David Kawrykow;Martin P. Robillard

  • Patterns of Knowledge in API Reference Documentation

    W. Maalej;M. P. Robillard

  • Static analysis to support the evolution of exception structure in object-oriented systems

    Martin P. Robillard;Gail C. Murphy

  • Recommending adaptive changes for framework evolution

    Barthélémy Dagenais;Martin P. Robillard

  • Automatic generation of suggestions for program investigation

    Martin P. Robillard

  • Moving into a new software project landscape

    Barthelemy Dagenais;Harold Ossher;Rachel K. E. Bellamy;Martin P. Robillard

  • Recovering traceability links between an API and its learning resources

    Barthelemy Dagenais;Martin P. Robillard

  • How API Documentation Fails

    Gias Uddin;Martin P. Robillard

  • Discovering essential code elements in informal documentation

    Peter C. Rigby;Martin P. Robillard

  • Proceedings of the 39th International Conference on Software Engineering

    Sebastian Uchitel;Alessandro Orso;Martin Robillard

  • What Makes APIs Hard to Learn? The Answers of Developers

    Martin Robillard

Frequent Co-Authors

Gail C. Murphy
Gail C. Murphy University of British Columbia
Christoph Treude
Christoph Treude Singapore Management University
Alessandro Orso
Alessandro Orso Georgia Institute of Technology
Reid Holmes
Reid Holmes University of British Columbia
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Walid Maalej
Walid Maalej Hasso Plattner Institute
Rachel K. E. Bellamy
Rachel K. E. Bellamy IBM (United States)
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Sebastian Uchitel
Sebastian Uchitel University of Buenos Aires
Shane McIntosh
Shane McIntosh McGill University

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