World's Best Scientists 2026 revealed!
Samuel J. Gershman

Samuel J. Gershman

D-Index & Metrics

Psychology

D-Index
72
Citations
23506
World Ranking
2038
National Ranking
1189

Computer Science

D-Index
74
Citations
24832
World Ranking
1477
National Ranking
770

Samuel J. Gershman 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 Samuel J. Gershman 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: 204 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Samuel J. Gershman 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 Samuel J. Gershman 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: 74 D-Index — 90th percentile

90% 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

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Samuel J. Gershman is affiliated with Harvard University in the United States. Their research spans multiple fields with a primary focus on neuroscience and computer science. Gershman's work addresses key areas within cognitive neuroscience, artificial intelligence, cellular and molecular neuroscience, developmental and educational psychology, and general decision sciences.

The scientist has contributed extensively to various research topics including:

  • Neural dynamics and brain function
  • Neural and behavioral psychology studies
  • Memory and neural mechanisms
  • Decision-making and behavioral economics
  • Child and animal learning development
  • Reinforcement learning in robotics
  • Receptor mechanisms and signaling

Gershman's frequent publication venues demonstrate a broad engagement with both preprint and peer-reviewed outlets, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Cognition
  • Nature Human Behaviour

Among their published papers are several notable works from 2020 and 2021, such as:

  • A Unified Framework for Dopamine Signals across Timescales (2020, Cell)
  • Hippocampal remapping as hidden state inference (2020, eLife)
  • Structured Event Memory: A neuro-symbolic model of event cognition (2020, Psychological Review)
  • Resource-rational decision making (2021, Current Opinion in Behavioral Sciences)
  • Dissociable neural correlates of uncertainty underlie different exploration strategies (2020, Nature Communications)

Frequent collaborators in Gershman's work include:

  • Joshua B. Tenenbaum
  • Eric Schulz
  • Momchil S. Tomov
  • Yang Xiang
  • Lucy Lai

In addition to articles, Gershman has authored books published by Princeton University Press, notably What Makes Us Smart (2021).

Recognition for their academic contributions includes receiving the fellowship from the Alfred P. Sloan Foundation awarded in 2018.

Best Publications

  • Building machines that learn and think like people.

    Brenden M. Lake;Tomer David Ullman;Joshua B Tenenbaum;Samuel J Gershman

  • Model-based influences on humans' choices and striatal prediction errors.

    Nathaniel D. Daw;Samuel J. Gershman;Ben Seymour;Peter Dayan

  • The hippocampus as a predictive map

    Kimberly L Stachenfeld;Matthew M Botvinick;Samuel J Gershman

  • Computational rationality: A converging paradigm for intelligence in brains, minds, and machines

    Samuel J. Gershman;Eric J. Horvitz;Joshua B. Tenenbaum

  • A Tutorial on Bayesian Nonparametric Models

    Samuel J. Gershman;David M. Blei

  • Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative Framework.

    Samuel J Gershman;Nathaniel D Daw

  • The successor representation in human reinforcement learning.

    I. Momennejad;E. M. Russek;J. H. Cheong;M. M. Botvinick

  • Context, learning, and extinction.

    Samuel J. Gershman;David M. Blei;Yael Niv

  • Reinforcement learning in multidimensional environments relies on attention mechanisms

    Yael Niv;Reka Daniel;Andra Geana;Samuel J. Gershman

  • Predictive representations can link model-based reinforcement learning to model-free mechanisms.

    Evan M. Russek;Ida Momennejad;Matthew M. Botvinick;Samuel J. Gershman

  • The Curse of Planning Dissecting Multiple Reinforcement-Learning Systems by Taxing the Central Executive

    A. Ross Otto;Samuel J. Gershman;Arthur B. Markman;Nathaniel D. Daw

  • Learning latent structure: Carving nature at its joints

    Samuel J Gershman;Yael Niv

  • Accountability of AI Under the Law: The Role of Explanation

    Finale Doshi-Velez;Mason Kortz;Ryan Budish;Christopher Bavitz

  • Toward a universal decoder of linguistic meaning from brain activation

    Francisco Pereira;Bin Lou;Brianna Pritchett;Samuel Ritter

  • A Unified Framework for Dopamine Signals across Timescales

    HyungGoo R. Kim;Athar N. Malik;John G. Mikhael;Pol Bech

  • Retrospective revaluation in sequential decision making: a tale of two systems.

    Samuel J. Gershman;Arthur B. Markman;A. Ross Otto

  • Interplay of approximate planning strategies

    Quentin J. M. Huys;Quentin J. M. Huys;Níall Lally;Níall Lally;Paul Faulkner;Neir Eshel

  • Deconstructing the human algorithms for exploration.

    Samuel J. Gershman

  • Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.

    Wouter Kool;Samuel J Gershman;Fiery A Cushman

  • Amortized Inference in Probabilistic Reasoning

    Samuel Gershman;Noah D. Goodman

Frequent Co-Authors

Yael Niv
Yael Niv Princeton University
Kenneth A. Norman
Kenneth A. Norman Princeton University
Geoffrey Schoenbaum
Geoffrey Schoenbaum National Institutes of Health
Matthew Botvinick
Matthew Botvinick Yale University
Fiery Cushman
Fiery Cushman Harvard University
David M. Blei
David M. Blei Columbia University
Nathaniel D. Daw
Nathaniel D. Daw Princeton University
Noah D. Goodman
Noah D. Goodman Stanford University
Marie H. Monfils
Marie H. Monfils The University of Texas at Austin

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