World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
8500
World Ranking
7941
National Ranking
318

Abram Hindle 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 Abram Hindle 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: 168 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Abram Hindle 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 Abram Hindle 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Abram Hindle is affiliated with the University of Alberta in Canada. Their research spans across multiple fields primarily within computer science and medicine, reflecting an interdisciplinary approach. The main fields of study include Computer Science and Medicine, with significant contributions in subfields such as Cardiology and Cardiovascular Medicine, Information Systems, Artificial Intelligence, Software, and Computer Networks and Communications.

The scientist's work covers a wide range of topics, notably:

  • ECG Monitoring and Analysis
  • Software Engineering Research
  • Software System Performance and Reliability
  • Software Reliability and Analysis Research
  • EEG and Brain-Computer Interfaces
  • Machine Learning in Healthcare
  • Heart Rate Variability and Autonomic Control

Recent publications by Abram Hindle demonstrate a focus on machine learning applications in healthcare technology and software engineering, with representative examples including:

  • "What Causes Wrong Sentiment Classifications of Game Reviews?" published in IEEE Transactions on Games in 2021
  • "Towards artificial intelligence-based learning health system for population-level mortality prediction using electrocardiograms" published in npj Digital Medicine in 2023
  • "Development and validation of machine learning algorithms based on electrocardiograms for cardiovascular diagnoses at the population level" published in npj Digital Medicine in 2024
  • "How are issue reports discussed in Gitter chat rooms?" published in Journal of Systems and Software in 2020
  • "Analyzing Techniques for Duplicate Question Detection on Q&A Websites for Game Developers" published in Empirical Software Engineering in 2022

Frequent co-authors collaborating with Abram Hindle include:

  • Sunil V. Kalmady
  • Padma Kaul
  • Russell Greiner
  • Nariman Sepehrvand
  • Weijie Sun

The scholar's publishing history is evident in several venues, particularly:

  • arXiv (Cornell University)
  • Empirical Software Engineering
  • npj Digital Medicine
  • Canadian Journal of Cardiology
  • Computing in Cardiology

Best Publications

  • Latent Dirichlet Allocation: Extracting Topics from Software Engineering Data

    Joshua Charles Campbell;Abram Hindle;Eleni Stroulia

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Mark Gabel;Zhendong Su

  • On the naturalness of software

    Abram Hindle;Earl T. Barr;Zhendong Su;Mark Gabel

  • What do large commits tell us?: a taxonomical study of large commits

    Abram Hindle;Daniel M. German;Ric Holt

  • A simpler model of software readability

    Daryl Posnett;Abram Hindle;Premkumar Devanbu

  • What Do Programmers Know about Software Energy Consumption

    Candy Pang;Abram Hindle;Bram Adams;Ahmed E. Hassan

  • GreenMiner: a hardware based mining software repositories software energy consumption framework

    Abram Hindle;Alex Wilson;Kent Rasmussen;E. Jed Barlow

  • Understanding Android Fragmentation with Topic Analysis of Vendor-Specific Bugs

    Dan Han;Chenlei Zhang;Xiaochao Fan;Abram Hindle

  • Automatic classication of large changes into maintenance categories

    Abram Hindle;Daniel M. German;Michael W. Godfrey;Richard C. Holt

  • Energy profiles of Java collections classes

    Samir Hasan;Zachary King;Munawar Hafiz;Mohammed Sayagh

  • On the Personality Traits of StackOverflow Users

    Blerina Bazelli;Abram Hindle;Eleni Stroulia

  • A contextual approach towards more accurate duplicate bug report detection

    Anahita Alipour;Abram Hindle;Eleni Stroulia

  • BugCache for inspections: hit or miss?

    Foyzur Rahman;Daryl Posnett;Abram Hindle;Earl Barr

  • What's hot and what's not: Windowed developer topic analysis

    Abram Hindle;Michael W. Godfrey;Richard C. Holt

  • Software bertillonage: finding the provenance of an entity

    Julius Davies;Daniel M. German;Michael W. Godfrey;Abram Hindle

  • VISUALIZING THE EVOLUTION OF SOFTWARE USING SOFTCHANGE

    Daniel M. German;Abram Hindle

  • On the Effectiveness of Simhash for Detecting Near-Miss Clones in Large Scale Software Systems

    Md. Sharif Uddin;Chanchal K. Roy;Kevin A. Schneider;Abram Hindle

  • Automated topic naming to support cross-project analysis of software maintenance activities

    Abram Hindle;Neil A. Ernst;Michael W. Godfrey;John Mylopoulos

  • Green mining: a methodology of relating software change and configuration to power consumption

    Abram Hindle

  • Syntax errors just aren't natural: improving error reporting with language models

    Joshua Charles Campbell;Abram Hindle;José Nelson Amaral

  • Green mining: a methodology of relating software change to power consumption

    Abram Hindle

Frequent Co-Authors

Eleni Stroulia
Eleni Stroulia University of Alberta
Michael W. Godfrey
Michael W. Godfrey University of Waterloo
Daniel M. German
Daniel M. German University of Victoria
Richard C. Holt
Richard C. Holt De Montfort University
Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Bram Adams
Bram Adams Queen's University
Russell Greiner
Russell Greiner University of Alberta
Thomas Zimmermann
Thomas Zimmermann Microsoft (United States)
Christian Bird
Christian Bird Microsoft (United States)
Yasutaka Kamei
Yasutaka Kamei Kyushu University

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