World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
20731
World Ranking
1965
National Ranking
73

Gail C. Murphy 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 Gail C. Murphy 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Gail C. Murphy 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 Gail C. Murphy 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: 69 D-Index — 87th percentile

87% 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

Overview

Gail C. Murphy is affiliated with the University of British Columbia in Canada. Their research primarily focuses on the field of Computer Science, with significant work in related subfields such as Information Systems, Information Systems and Management, Artificial Intelligence, Human-Computer Interaction, and Computer Science Applications.

The scientist's research topics include software engineering research, software engineering techniques and practices, personal information management and user behavior, advanced software engineering methodologies, usability and user interface design, open source software innovations, and mental health research topics.

Gail C. Murphy has published papers in several venues, with multiple contributions to the Proceedings of the ACM on Human-Computer Interaction and the 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). Other publication venues include the Journal of Systems and Software, the International Journal of Human-Computer Studies, and the Proceedings of the 44th International Conference on Software Engineering.

  • Observing and predicting knowledge worker stress, focus and awakeness in the wild (2020, International Journal of Human-Computer Studies)
  • Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto (2024, Journal of Systems and Software)
  • An exploratory study of productivity perceptions in software teams (2022, Proceedings of the 44th International Conference on Software Engineering)
  • Detecting Developers' Task Switches and Types (2020, IEEE Transactions on Software Engineering)
  • Cultivating a Team Mindset about Productivity with a Nudge: A Field Study in Hybrid Development Teams (2023, Proceedings of the ACM on Human-Computer Interaction)

Frequent co-authors in Gail C. Murphy's work include Thomas Fritz, Alexander Lill, Lauren Howe, Arthur Marques, and Chris Satterfield.

Best Publications

  • Who should fix this bug

    John Anvik;Lyndon Hiew;Gail C. Murphy

  • Software reflexion models: bridging the gap between source and high-level models

    Gail C. Murphy;David Notkin;Kevin Sullivan

  • An empirical study of code clone genealogies

    Miryung Kim;Vibha Sazawal;David Notkin;Gail Murphy

  • Predicting source code changes by mining change history

    A.T.T. Ying;G.C. Murphy;R. Ng;M.C. Chu-Carroll

  • Using task context to improve programmer productivity

    Mik Kersten;Gail C. Murphy

  • How are Java software developers using the Elipse IDE

    G.C. Murphy;M. Kersten;L. Findlater

  • Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness

    Thomas Fritz;Elaine M. Huang;Gail C. Murphy;Thomas Zimmermann

  • Using structural context to recommend source code examples

    Reid Holmes;Gail C. Murphy

  • Software reflexion models: bridging the gap between design and implementation

    G.C. Murphy;D. Notkin;K.J. Sullivan

  • Automatic bug triage using text categorization.

    Davor Cubranic;Gail C. Murphy

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

    Martin P. Robillard;Gail C. Murphy

  • Hipikat: recommending pertinent software development artifacts

    Davor Čubranić;Gail C. Murphy

  • Mylar: a degree-of-interest model for IDEs

    Mik Kersten;Gail C. Murphy

  • Hipikat: a project memory for software development

    D. Cubranic;G.C. Murphy;J. Singer;K.S. Booth

  • Asking and Answering Questions during a Programming Change Task

    J. Sillito;G.C. Murphy;K. De Volder

  • Reducing the effort of bug report triage: Recommenders for development-oriented decisions

    John Anvik;Gail C. Murphy

  • Questions programmers ask during software evolution tasks

    Jonathan Sillito;Gail C. Murphy;Kris De Volder

  • Coping with an open bug repository

    John Anvik;Lyndon Hiew;Gail C. Murphy

  • How effective developers investigate source code: an exploratory study

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

  • Do Crosscutting Concerns Cause Defects

    M. Eaddy;T. Zimmermann;K.D. Sherwood;V. Garg

Frequent Co-Authors

Martin P. Robillard
Martin P. Robillard McGill University
David Notkin
David Notkin University of Washington
Emerson Murphy-Hill
Emerson Murphy-Hill Google (United States)
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Reid Holmes
Reid Holmes University of British Columbia
Kevin Sullivan
Kevin Sullivan University of Virginia
William G. Griswold
William G. Griswold University of California, San Diego
Mauro Pezzè
Mauro Pezzè Universita della Svizzera Italiana
Gregor Kiczales
Gregor Kiczales University of British Columbia
Mary Jean Harrold
Mary Jean Harrold Georgia Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens the door to a range of related online degrees and career pathways that complement your skills and expand your opportunities. For those interested in understanding crime data, consider pursuing a masters in criminology online. This path integrates well with computing and data analysis roles within the justice system.

Careers in finance and business also benefit from tech expertise. An accredited online accounting degree can help you learn accounting systems and financial technology, both in high demand across multiple industries.

If you're drawn to big data, a cheapest online data science masters can further your ability to analyze complex information and make data-driven decisions. This is a natural extension of a Computer Science background.

For those considering technology's role in construction and project management, a 2 year construction management degree can provide targeted leadership skills needed in the construction and engineering sectors, where computer science expertise is increasingly valuable.

Best Scientists Citing Gail C. Murphy

Trending Scientists

Recently Published Articles