World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
59894
World Ranking
7023
National Ranking
3023

Dharshan Kumaran publication distribution in Neuroscience in 2026

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

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 66 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Dharshan Kumaran D-index placement in Neuroscience in 2026

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

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 44 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Dharshan Kumaran is a researcher affiliated with Google in the United States, whose work spans multiple domains within computer science and neuroscience. Their research portfolio includes contributions in areas related to artificial intelligence and cognitive neuroscience, with specific focus on understanding neural dynamics, memory mechanisms, and sensory function.

The scientist's main fields of study include:

  • Computer Science
  • Neuroscience

Within these fields, Kumaran's subfields of study are:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience
  • Sensory Systems
  • Developmental and Educational Psychology

Kumaran's research explores several key topics, including:

  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Memory and Neural Mechanisms
  • Neural dynamics and brain function
  • Olfactory and Sensory Function Studies
  • Child and Animal Learning Development
  • Intelligent Tutoring Systems and Adaptive Learning

The researcher has authored multiple scientific papers, some of which are recent contributions. Notable works include:

  • "A model of egocentric to allocentric understanding in mammalian brains," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Language models show human-like content effects on reasoning tasks," 2022, arXiv (Cornell University)
  • "Language models, like humans, show content effects on reasoning tasks," 2024, PNAS Nexus
  • "Transformers generalize differently from information stored in context vs in weights," 2022, arXiv (Cornell University)
  • "MEMO: A Deep Network for Flexible Combination of Episodic Memories," 2020, arXiv (Cornell University)

Kumaran frequently collaborates with several coauthors, including:

  • Andrea Banino
  • Charles Blundell
  • Andrew K. Lampinen
  • Ishita Dasgupta
  • Stephanie C. Y. Chan

The primary venues for Kumaran's published work include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • PNAS Nexus

Best Publications

  • Human-level control through deep reinforcement learning

    Volodymyr Mnih;Koray Kavukcuoglu;David Silver;Andrei A. Rusu

  • Overcoming catastrophic forgetting in neural networks

    James Kirkpatrick;Razvan Pascanu;Neil C. Rabinowitz;Joel Veness

  • A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play.

    David Silver;Thomas Hubert;Julian Schrittwieser;Ioannis Antonoglou

  • Frames, biases, and rational decision-making in the human brain

    Benedetto De Martino;Dharshan Kumaran;Ben Seymour;Raymond J. Dolan

  • Patients with hippocampal amnesia cannot imagine new experiences

    Demis Hassabis;Dharshan Kumaran;Seralynne D. Vann;Eleanor A. Maguire

  • Neuroscience-Inspired Artificial Intelligence.

    Demis Hassabis;Dharshan Kumaran;Christopher Summerfield;Matthew Botvinick

  • Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

    David Silver;Thomas Hubert;Julian Schrittwieser;Ioannis Antonoglou

  • Using Imagination to Understand the Neural Basis of Episodic Memory

    Demis Hassabis;Dharshan Kumaran;Eleanor A. Maguire

  • Vector-based navigation using grid-like representations in artificial agents

    Andrea Banino;Caswell Barry;Benigno Uria;Charles Blundell

  • What Learning Systems do Intelligent Agents Need? Complementary Learning Systems Theory Updated

    Dharshan Kumaran;Dharshan Kumaran;Demis Hassabis;James L. McClelland

  • Prefrontal cortex as a meta-reinforcement learning system

    Jane X. Wang;Zeb Kurth-Nelson;Dharshan Kumaran;Dhruva Tirumala

  • Learning to reinforcement learn

    Jane X. Wang;Zeb Kurth-Nelson;Dhruva Tirumala;Hubert Soyer

  • Learning to Navigate in Complex Environments

    Piotr Mirowski;Razvan Pascanu;Fabio Viola;Hubert Soyer

  • Generalization Through the Recurrent Interaction of Episodic Memories: A Model of the Hippocampal System

    Dharshan Kumaran;James L. McClelland

  • An unexpected sequence of events: mismatch detection in the human hippocampus.

    Dharshan Kumaran;Eleanor A Maguire

  • Tracking the Emergence of Conceptual Knowledge during Human Decision Making

    Dharshan Kumaran;Jennifer J. Summerfield;Demis Hassabis;Eleanor A. Maguire

  • Match-Mismatch Processes Underlie Human Hippocampal Responses to Associative Novelty

    Dharshan Kumaran;Eleanor A. Maguire

  • Strong Evidence for Pattern Separation in Human Dentate Gyrus.

    David Berron;Hartmut Schütze;Anne Maass;Arturo Cardenas-Blanco

  • The Human Hippocampus: Cognitive Maps or Relational Memory?

    Dharshan Kumaran;Eleanor A. Maguire

  • A Genetically Mediated Bias in Decision Making Driven by Failure of Amygdala Control

    J. P. Roiser;B. de Martino;G. C. Tan;D. Kumaran

Frequent Co-Authors

Demis Hassabis
Demis Hassabis Google (United States)
Emrah Düzel
Emrah Düzel German Center for Neurodegenerative Diseases
Eleanor A. Maguire
Eleanor A. Maguire University College London
Hugo J. Spiers
Hugo J. Spiers University College London
Matthew Botvinick
Matthew Botvinick Yale University
Charles Blundell
Charles Blundell DeepMind (United Kingdom)
Peter Dayan
Peter Dayan Max Planck Institute for Biological Cybernetics
Raymond J. Dolan
Raymond J. Dolan University College London
Raia Hadsell
Raia Hadsell DeepMind (United Kingdom)
Razvan Pascanu
Razvan Pascanu DeepMind (United Kingdom)

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