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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
19305
World Ranking
2855
National Ranking
108

Graeme Hirst 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 Graeme Hirst 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: 245 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Graeme Hirst 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 Graeme Hirst 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: 62 D-Index — 80th percentile

80% 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

Graeme Hirst is affiliated with the University of Toronto in Canada. Their research spans multiple fields, notably computer science and psychology, with a focus on artificial intelligence and social sciences.

The main fields of study represented in their work include:

  • Computer Science
  • Psychology

The applicable subfields they contribute to cover:

  • Artificial Intelligence
  • Social Psychology
  • Sociology and Political Science
  • Applied Psychology
  • Public Health, Environmental and Occupational Health

Key topics addressed in their academic output involve:

  • Topic Modeling
  • Mental Health via Writing
  • Digital Mental Health Interventions
  • Machine Learning in Healthcare
  • Misinformation and Its Impacts
  • Natural Language Processing Techniques
  • Text Readability and Simplification

Graeme Hirst has published research extensively, with frequent contributions to the following venues:

  • arXiv (Cornell University)
  • JMIR Cancer
  • JMIR Research Protocols
  • Journal of Medical Internet Research
  • Journal of the American Medical Informatics Association

Their recent papers include:

  • "Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study" (2020), Journal of Medical Internet Research
  • "Natural Language Processing-Based Virtual Cofacilitator for Online Cancer Support Groups: Protocol for an Algorithm Development and Validation Study" (2021), JMIR Research Protocols
  • "Using word embeddings to improve the privacy of clinical notes" (2020), Journal of the American Medical Informatics Association
  • "Providing Care Beyond Therapy Sessions With a Natural Language Processing-Based Recommender System That Identifies Cancer Patients Who Experience Psychosocial Challenges and Provides Self-care Support: Pilot Study" (2022), JMIR Cancer
  • "Therapist Feedback and Implications on Adoption of an Artificial Intelligence-Based Co-Facilitator for Online Cancer Support Groups: Mixed Methods Single-Arm Usability Study" (2023), JMIR Cancer

Frequent collaborators in their work include:

  • Yvonne Leung
  • Achini Adikari
  • Jiahui Wong
  • Mathew Gancarz
  • David Gratzer

Best Publications

  • Evaluating WordNet-based Measures of Lexical Semantic Relatedness

    Alexander Budanitsky;Graeme Hirst

  • Lexical cohesion computed by thesaural relations as an indicator of the structure of text

    Jane Morris;Graeme Hirst

  • Lexical chains as representations of context for the detection and correction of malapropisms

    Graeme Hirst;David St-Onge

  • Neural Network Methods in Natural Language Processing

    Yoav Goldberg;Graeme Hirst

  • Semantic distance in WordNet: An experimental, application-oriented evaluation of five measures

    Alexander Budanitsky;Graeme Hirst;Keith Alcock;Jiang— Conrath

  • Semantic Interpretation and the Resolution of Ambiguity

    Graeme Hirst

  • Near-synonymy and lexical choice

    Philip Edmonds;Graeme Hirst

  • The rhetorical parsing, summarization, and generation of natural language texts

    Graeme Hirst;Daniel C. Marcu

  • Anaphora in Natural Language Understanding: A Survey

    Graeme Hirst

  • Ontology and the Lexicon

    Graeme Hirst

  • Automated classification of primary progressive aphasia subtypes from narrative speech transcripts.

    Kathleen C. Fraser;Jed A. Meltzer;Naida L. Graham;Naida L. Graham;Carol Leonard

  • Correcting real-word spelling errors by restoring lexical cohesion

    Graeme Hirst;Alexander Budanitsky

  • Classifying arguments by scheme

    Vanessa Wei Feng;Graeme Hirst

  • Ontology and the Lexicon

    Unknown

  • Bigrams of Syntactic Labels for Authorship Discrimination of Short Texts

    Graeme Hirst;Ol’ga Feiguina

  • A Linear-Time Bottom-Up Discourse Parser with Constraints and Post-Editing

    Vanessa Wei Feng;Graeme Hirst

  • Text-level Discourse Parsing with Rich Linguistic Features

    Vanessa Wei Feng;Graeme Hirst

  • Discipline Impact Factors: A Method for Determining Core Journal Lists.

    Graeme Hirst

  • Longitudinal Detection of Dementia through Lexical and Syntactic Changes in Writing: A Case Study of Three British Novelists

    Xuan Le;Ian Lancashire;Graeme Hirst;Regina Jokel

  • Computational Argumentation Quality Assessment in Natural Language

    Henning Wachsmuth;Nona Naderi;Yufang Hou;Yonatan Bilu

  • The repair of speech act misunderstandings by abductive inference

    Susan W. McRoy;Graeme Hirst

Frequent Co-Authors

Frank Rudzicz
Frank Rudzicz University of Toronto
Saif M. Mohammad
Saif M. Mohammad National Research Council Canada
Diana Inkpen
Diana Inkpen University of Ottawa
Daniel Marcu
Daniel Marcu University of Southern California
Diego R. Amancio
Diego R. Amancio Universidade de São Paulo
David Duvenaud
David Duvenaud University of Toronto
Bonnie J. Dorr
Bonnie J. Dorr University of Florida
Sandra E. Black
Sandra E. Black University of Toronto
Elizabeth Rochon
Elizabeth Rochon University of Toronto
Gerald Penn
Gerald Penn University of Toronto

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