World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
16028
World Ranking
6670
National Ranking
2946

Eric Gilbert 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 Eric Gilbert 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: 91 publications — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Eric Gilbert 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 Eric Gilbert 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Eric Gilbert is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily resides within the social sciences, with specific work in sociology and political science, artificial intelligence, communication, statistical and nonlinear physics, and gender studies.

The main topics of Gilbert's research encompass social media and politics, misinformation and its impacts, hate speech and cyberbullying detection, digital games and media, complex network analysis techniques, gender, feminism, and media, as well as ethics and social impacts of AI.

Gilbert has contributed to multiple publication venues. Frequent venues include:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the ACM on Human-Computer Interaction
  • Syntaxe et sémantique
  • ACM Transactions on Computer-Human Interaction

Among the recent papers by Gilbert are:

  • CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Quarantined! Examining the Effects of a Community-Wide Moderation Intervention on Reddit, 2022, ACM Transactions on Computer-Human Interaction
  • Why We Filter Our Photos and How It Impacts Engagement, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Women's Perspectives on Harm and Justice after Online Harassment, 2022, Proceedings of the ACM on Human-Computer Interaction
  • Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory, 2022, 2022 ACM Conference on Fairness, Accountability, and Transparency

Frequent co-authors with whom Gilbert has collaborated include:

  • Sarita Schoenebeck
  • Eshwar Chandrasekharan
  • Jane Im
  • Tanushree Mitra
  • Shagun Jhaver

Best Publications

  • VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text

    Clayton J. Hutto;Eric Gilbert

  • Predicting tie strength with social media

    Eric Gilbert;Karrie Karahalios

  • Faces engage us: photos with faces attract more likes and comments on Instagram

    Saeideh Bakhshi;David A. Shamma;Eric Gilbert

  • You Can't Stay Here: The Efficacy of Reddit's 2015 Ban Examined Through Hate Speech

    Eshwar Chandrasekharan;Umashanthi Pavalanathan;Anirudh Srinivasan;Adam Glynn

  • The language that gets people to give: phrases that predict success on kickstarter

    Tanushree Mitra;Eric Gilbert

  • The Internet's Hidden Rules: An Empirical Study of Reddit Norm Violations at Micro, Meso, and Macro Scales

    Eshwar Chandrasekharan;Mattia Samory;Shagun Jhaver;Hunter Charvat

  • CREDBANK: A Large-Scale Social Media Corpus With Associated Credibility Annotations

    Tanushree Mitra;Eric Gilbert

  • Human-Machine Collaboration for Content Regulation: The Case of Reddit Automoderator

    Shagun Jhaver;Iris Birman;Eric Gilbert;Amy Bruckman

  • Online Harassment and Content Moderation: The Case of Blocklists

    Shagun Jhaver;Sucheta Ghoshal;Amy Bruckman;Eric Gilbert

  • #thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities

    Stevie Chancellor;Jessica Annette Pater;Trustin Clear;Eric Gilbert

  • Widespread underprovision on Reddit

    Eric Gilbert

  • Blogs Are Echo Chambers: Blogs Are Echo Chambers

    Eric Gilbert;Tony Bergstrom;Kyratso George Karahalios

  • "I need to try this"?: a statistical overview of pinterest

    Eric Gilbert;Saeideh Bakhshi;Shuo Chang;Loren Terveen

  • The network in the garden: an empirical analysis of social media in rural life

    Eric Gilbert;Karrie Karahalios;Christian Sandvig

  • Does Transparency in Moderation Really Matter?: User Behavior After Content Removal Explanations on Reddit

    Shagun Jhaver;Amy Bruckman;Eric Gilbert

  • A longitudinal study of follow predictors on twitter

    C.J. Hutto;Sarita Yardi;Eric Gilbert

  • User Attitudes towards Algorithmic Opacity and Transparency in Online Reviewing Platforms

    Motahhare Eslami;Kristen Vaccaro;Min Kyung Lee;Amit Elazari Bar On

  • The Bag of Communities: Identifying Abusive Behavior Online with Preexisting Internet Data

    Eshwar Chandrasekharan;Mattia Samory;Anirudh Srinivasan;Eric Gilbert

  • Crossmod: A Cross-Community Learning-based System to Assist Reddit Moderators

    Eshwar Chandrasekharan;Chaitrali Gandhi;Matthew Wortley Mustelier;Eric Gilbert

  • Virtual data Grid middleware services for data‐intensive science

    Yong Zhao;Michael Wilde;Ian Foster;Ian Foster;Jens Voeckler

  • Predicting tie strength in a new medium

    Eric Gilbert

  • "Did You Suspect the Post Would be Removed?": Understanding User Reactions to Content Removals on Reddit

    Shagun Jhaver;Darren Scott Appling;Eric Gilbert;Amy Bruckman

Frequent Co-Authors

Karrie Karahalios
Karrie Karahalios University of Illinois at Urbana-Champaign
Amy Bruckman
Amy Bruckman Georgia Institute of Technology
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Thomas H. Jordan
Thomas H. Jordan University of Southern California
Jacob Eisenstein
Jacob Eisenstein Google (United States)
Loren Terveen
Loren Terveen University of Minnesota
Michael Wilde
Michael Wilde Argonne National Laboratory
Lyndon Kennedy
Lyndon Kennedy Apple (United States)
Elizabeth M. Gerber
Elizabeth M. Gerber Northwestern University
Cliff Lampe
Cliff Lampe University of Michigan–Ann Arbor

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