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Neuroscience

D-Index
37
Citations
10247
World Ranking
8668
National Ranking
3678

David J. Freedman 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 David J. Freedman 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: 79 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

David J. Freedman 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 David J. Freedman 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: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

David J. Freedman is affiliated with the University of Chicago in the United States. Their research primarily focuses on the field of Neuroscience, with a significant emphasis on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, and Neurology.

The major topics covered in Freedman's work include:

  • Neural dynamics and brain function
  • Visual perception and processing mechanisms
  • Neuroscience and Neuropharmacology Research
  • Neural and Behavioral Psychology Studies
  • Advanced Memory and Neural Computing
  • Neural Networks and Applications
  • Neuroinflammation and Neurodegeneration Mechanisms

Freedman has published extensively, contributing notably to various scientific journals and venues. Some frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neuroscience
  • Cell Reports
  • PLoS Computational Biology
  • Nature Neuroscience

Their recent significant papers include:

  • Neuronal BIN1 Regulates Presynaptic Neurotransmitter Release and Memory Consolidation, 2020, Cell Reports
  • Emergence of abstract rules in the primate brain, 2020, Nature reviews. Neuroscience
  • Reevaluating the Role of Persistent Neural Activity in Short-Term Memory, 2020, Trends in Cognitive Sciences
  • Nonlinear mixed selectivity supports reliable neural computation, 2020, PLoS Computational Biology
  • Primate neuronal connections are sparse in cortex as compared to mouse, 2021, Cell Reports

Freedman has collaborated frequently with several researchers, including:

  • Matthew C. Rosen
  • Nicolas Y. Masse
  • W. Jeffrey Johnston
  • Ou Zhu
  • Krithika Mohan

Best Publications

  • Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex

    David J. Freedman;Maximilian Riesenhuber;Maximilian Riesenhuber;Tomaso Poggio;Tomaso Poggio;Earl K. Miller

  • A hierarchy of intrinsic timescales across primate cortex

    John D. Murray;Alberto Bernacchia;David J. Freedman;Ranulfo Romo

  • Representation of the Quantity of Visual Items in the Primate Prefrontal Cortex

    Andreas Nieder;David J. Freedman;Earl K. Miller

  • A comparison of primate prefrontal and inferior temporal cortices during visual categorization.

    David J. Freedman;Maximilian Riesenhuber;Tomaso Poggio;Earl K. Miller

  • Experience-dependent representation of visual categories in parietal cortex.

    David J. Freedman;John A. Assad

  • The prefrontal cortex: categories, concepts and cognition

    Earl K. Miller;David J. Freedman;Jonathan D. Wallis

  • Dynamic population coding of category information in inferior temporal and prefrontal cortex.

    Ethan M Meyers;David J Freedman;Gabriel Kreiman;Earl K. Miller

  • Visual categorization and the primate prefrontal cortex: neurophysiology and behavior.

    David J. Freedman;Maximilian Riesenhuber;Maximilian Riesenhuber;Tomaso Poggio;Tomaso Poggio;Earl K. Miller

  • Experience-Dependent Sharpening of Visual Shape Selectivity in Inferior Temporal Cortex

    David J. Freedman;Maximilian Riesenhuber;Tomaso Poggio;Tomaso Poggio;Earl K. Miller;Earl K. Miller

  • Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization.

    Nicolas Y. Masse;Gregory D. Grant;David J. Freedman

  • Circuit mechanisms for the maintenance and manipulation of information in working memory.

    Nicolas Y. Masse;Guangyu R. Yang;Guangyu R. Yang;H. Francis Song;H. Francis Song;Xiao Jing Wang

  • Preferential encoding of visual categories in parietal cortex compared with prefrontal cortex

    Sruthi K Swaminathan;David J Freedman

  • Neural correlates of categories and concepts

    Earl K Miller;Andreas Nieder;David J Freedman;Jonathan D Wallis

  • Computing by Robust Transience: How the Fronto-Parietal Network Performs Sequential, Category-Based Decisions.

    Warasinee Chaisangmongkon;Sruthi K. Swaminathan;David J. Freedman;Xiao Jing Wang;Xiao Jing Wang;Xiao Jing Wang

  • A proposed common neural mechanism for categorization and perceptual decisions

    David J Freedman;John A Assad;John A Assad

  • Posterior parietal cortex plays a causal role in perceptual and categorical decisions.

    Yang Zhou;David J. Freedman

  • Neural mechanisms of visual categorization: insights from neurophysiology.

    David J. Freedman;Earl K. Miller;Earl K. Miller

  • Neuronal Mechanisms of Visual Categorization: An Abstract View on Decision Making

    David J. Freedman;John A. Assad;John A. Assad

  • An Integrative Framework for Sensory, Motor, and Cognitive Functions of the Posterior Parietal Cortex

    David J. Freedman;Guilhem Ibos;Guilhem Ibos

  • Task-specific versus generalized mnemonic representations in parietal and prefrontal cortices.

    Arup Sarma;Nicolas Y. Masse;Xiao Jing Wang;David J. Freedman

Frequent Co-Authors

Xiao-Jing Wang
Xiao-Jing Wang New York University
John A. Assad
John A. Assad Harvard University
Maximilian Riesenhuber
Maximilian Riesenhuber Georgetown University Medical Center
John H. R. Maunsell
John H. R. Maunsell University of Chicago
Jonathan D. Wallis
Jonathan D. Wallis University of California, Berkeley
Anis Contractor
Anis Contractor Northwestern University
Gabriel Kreiman
Gabriel Kreiman Harvard University
Andreas Nieder
Andreas Nieder University of Tübingen

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