World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
11381
World Ranking
6106
National Ranking
2747

Michael Gamon 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 Michael Gamon 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: 140 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Michael Gamon 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 Michael Gamon 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Overview

Michael Gamon is affiliated with Microsoft in the United States and has contributed to research primarily in the fields of computer science and psychology. Their work spans several subfields including artificial intelligence, social psychology, experimental and cognitive psychology, information systems, and visual arts and performing arts.

The researcher has published extensively on topics that include:

  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • Humor Studies and Applications
  • Comics and Graphic Narratives
  • Expert Finding and Q&A Systems
  • Language, Metaphor, and Cognition

Frequent venues for their publications include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the ACM on Human-Computer Interaction
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Notable recent papers authored or coauthored by Michael Gamon are:

  • "Predicting Depression via Social Media", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "BLEWS: Using Blogs to Provide Context for News Articles", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "Happy, Nervous or Surprised? Classification of Human Affective States in Social Media", 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "SemEval-2020 Task 7: Assessing Humor in Edited News Headlines", 2020, Zenodo (CERN European Organization for Nuclear Research)

Michael Gamon's collaboration network includes frequent coauthors:

  • Sunil Kumar Jauhar
  • Scott Counts
  • Nirupama Chandrasekaran
  • Nabil Hossain
  • John Krumm

Best Publications

  • Predicting Depression via Social Media

    Munmun De Choudhury;Michael Gamon;Scott Counts;Eric Horvitz

  • Representing Text for Joint Embedding of Text and Knowledge Bases

    Kristina Toutanova;Danqi Chen;Patrick Pantel;Hoifung Poon

  • Pulse: mining customer opinions from free text

    Michael Gamon;Anthony Aue;Simon Corston-Oliver;Eric Ringger

  • Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis

    Michael Gamon

  • Customizing Sentiment Classifiers to New Domains: a Case Study

    Anthony Aue;Michael Gamon

  • Mark my words!: linguistic style accommodation in social media

    Cristian Danescu-Niculescu-Mizil;Michael Gamon;Susan Dumais

  • Correcting ESL Errors Using Phrasal SMT Techniques

    Chris Brockett;William B. Dolan;Michael Gamon

  • System for processing sentiment-bearing text

    Simon H. Corston-Oliver;Anthony Aue;Eric K. Ringger;Michael Gamon

  • Linguistic correlates of style: authorship classification with deep linguistic analysis features

    Michael Gamon

  • Modeling Interestingness with Deep Neural Networks

    Jianfeng Gao;Patrick Pantel;Michael Gamon;Xiaodong He

  • Automatic task extraction and calendar entry

    Michael Gamon;Saliha Azzam;Yizheng Cai;Nicholas Caldwell

  • Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media

    Munmun De Choudhury;Scott Counts;Michael Gamon

  • Sentence realization model for a natural language generation system

    Simon Corston-Oliver;Michael Gamon;Eric Ringger;Robert C. Moore

  • Smart selection of text spans

    Patrick Pantel;Michael Gamon;Ariel Damian Fuxman;Bernhard Kohlmeier

  • Task-Focused Summarization of Email

    Simon Corston-Oliver;Eric Ringger;Michael Gamon;Richard Campbell

  • Using Contextual Speller Techniques and Language Modeling for ESL Error Correction

    Michael Gamon;Jianfeng Gao;Chris Brockett;Alexandre Klementiev

  • The utility of article and preposition error correction systems for English language learners: Feedback and assessment:

    Martin Chodorow;Michael Gamon;Joel Tetreault

  • Language usage classifier

    Michael Gamon;William Dolan;Christopher Brockett

  • Systems and methods that determine intent of data and respond to the data based on the intent

    David R. Reed;Eric K. Ringger;Michael Gamon;Richard G. Campbell

  • Sentence-level MT evaluation without reference translations: Beyond language modeling

    Michael Gamon;Anthony Aue;Martine Smets

  • A Machine Learning Approach to the Automatic Evaluation of Machine Translation

    Simon Corston-Oliver;Michael Gamon;Chris Brockett

Frequent Co-Authors

Patrick Pantel
Patrick Pantel Facebook (United States)
Robert C. Moore
Robert C. Moore Google (United States)
Chris Brockett
Chris Brockett Microsoft (United States)
Ryen W. White
Ryen W. White Microsoft (United States)
William B. Dolan
William B. Dolan Microsoft (United States)
Jianfeng Gao
Jianfeng Gao Microsoft (United States)
Scott Counts
Scott Counts Microsoft (United States)
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Lucy Vanderwende
Lucy Vanderwende University of Washington
Eric Horvitz
Eric Horvitz Microsoft (United States)

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