World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
51
Citations
20521
World Ranking
5099
National Ranking
2802

Michal Kosinski publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Michal Kosinski sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 343 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 33 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–704 publications: 4 scientists 705+ publications: 100 scientists
31 publications 705+

This scientist: 118 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 705 publications or more.

Michal Kosinski D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Michal Kosinski sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 558 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 86 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 78 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 51 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Michal Kosinski is affiliated with Stanford University in the United States. Their research spans multiple disciplines, primarily focusing on computer science and psychology. Within these fields, they concentrate on key subfields such as artificial intelligence, clinical psychology, cognitive neuroscience, experimental and cognitive psychology, and sociology and political science.

The scientist has contributed notably to several main research topics, including:

  • Topic Modeling
  • Evolutionary Psychology and Human Behavior
  • Personality Traits and Psychology
  • Face Recognition and Perception
  • Psychology of Moral and Emotional Judgment
  • Authorship Attribution and Profiling
  • Personality Disorders and Psychopathology

Michal Kosinski's recent publications include works across prominent venues:

  • Facial recognition technology can expose political orientation from naturalistic facial images, 2021, Scientific Reports
  • Workshop on Computational Personality Recognition: Shared Task, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT, 2023, Nature Computational Science
  • Mining Facebook Data for Predictive Personality Modeling, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • Evaluating Large Language Models in Theory of Mind Tasks, 2023, arXiv (Cornell University)

The scientist has published extensively in several venues, with significant contributions to:

  • arXiv (Cornell University)
  • Scientific Reports
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Proceedings of the National Academy of Sciences
  • PsycTESTS Dataset

Michal Kosinski collaborates frequently with a range of coauthors, including:

  • David Stillwell
  • Poruz Khambatta
  • Thilo Hagendorff
  • Sarah Fabi
  • Yilun Wang

Best Publications

  • Private traits and attributes are predictable from digital records of human behavior

    Michal Kosinski;David Stillwell;Thore Graepel

  • Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

    H. Andrew Schwartz;Johannes C. Eichstaedt;Margaret L. Kern;Lukasz Dziurzynski

  • Computer-based personality judgments are more accurate than those made by humans

    Wu Youyou;Michal Kosinski;David Stillwell

  • Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines.

    Michal Kosinski;Sandra C. Matz;Samuel D. Gosling;Vesselin Popov

  • Psychological targeting as an effective approach to digital mass persuasion.

    Sandra C. Matz;Michal Kosinski;Gideon Nave;David J. Stillwell

  • Automatic personality assessment through social media language.

    Gregory Park;H. Andrew Schwartz;Johannes C. Eichstaedt;Margaret L. Kern

  • Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.

    Yilun Wang;Michal Kosinski

  • Our Twitter Profiles, Our Selves: Predicting Personality with Twitter

    Daniele Quercia;Michal Kosinski;David Stillwell;Jon Crowcroft

  • Characterizing a psychiatric symptom dimension related to deficits in goal-directed control

    Claire M Gillan;Claire M Gillan;Michal Kosinski;Robert Whelan;Elizabeth A Phelps;Elizabeth A Phelps;Elizabeth A Phelps

  • Personality and patterns of Facebook usage

    Yoram Bachrach;Michal Kosinski;Thore Graepel;Pushmeet Kohli

  • Manifestations of user personality in website choice and behaviour on online social networks

    Michal Kosinski;Yoram Bachrach;Pushmeet Kohli;David Stillwell

  • Divided we stand: three psychological regions of the United States and their political, economic, social, and health correlates.

    Peter J. Rentfrow;Samuel D. Gosling;Markus Jokela;David J. Stillwell

  • Mining big data to extract patterns and predict real-life outcomes.

    Michal Kosinski;Yilun Wang;Himabindu Lakkaraju;Jure Leskovec

  • Towards Assessing Changes in Degree of Depression through Facebook

    H. Andrew Schwartz;Johannes Eichstaedt;Margaret L. Kern;Gregory Park

  • Tracking the Digital Footprints of Personality

    Renaud Lambiotte;Michal Kosinski

  • Computational personality recognition in social media

    Golnoosh Farnadi;Geetha Sitaraman;Shanu Sushmita;Fabio Celli

  • The personality of popular facebook users

    Daniele Quercia;Renaud Lambiotte;David Stillwell;Michal Kosinski

  • Developing Age and Gender Predictive Lexica over Social Media

    Maarten Sap;Gregory Park;Johannes Eichstaedt;Margaret Kern

  • Mining Facebook Data for Predictive Personality Modeling

    Dejan Markovikj;Sonja Gievska;Michal Kosinski;David J. Stillwell

  • PREDICTING INDIVIDUAL WELL-BEING THROUGH THE LANGUAGE OF SOCIAL MEDIA.

    H. Andrew Schwartz;Maarten Sap;Margaret L. Kern;Johannes C. Eichstaedt

  • Musical Preferences Predict Personality: Evidence From Active Listening and Facebook Likes:

    Gideon Nave;Juri Minxha;David M. Greenberg;Michal Kosinski

Frequent Co-Authors

David Stillwell
David Stillwell University of Cambridge
Lyle H. Ungar
Lyle H. Ungar University of Pennsylvania
Margaret L. Kern
Margaret L. Kern University of Melbourne
Johannes C. Eichstaedt
Johannes C. Eichstaedt Stanford University
H. Andrew Schwartz
H. Andrew Schwartz Stony Brook University
Martin E. P. Seligman
Martin E. P. Seligman University of Pennsylvania
John Rust
John Rust University of Cambridge
Thore Graepel
Thore Graepel University College London
Yoram Bachrach
Yoram Bachrach DeepMind (United Kingdom)
Elizabeth A. Phelps
Elizabeth A. Phelps Harvard University

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