World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
21758
World Ranking
7026
National Ranking
3025

Gabriel Kreiman 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 Gabriel Kreiman 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: 186 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Gabriel Kreiman 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 Gabriel Kreiman 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

Gabriel Kreiman is a researcher affiliated with Harvard University in the United States. Their work spans the fields of neuroscience and computer science, with a significant focus on cognitive neuroscience and artificial intelligence. Kreiman's research addresses topics including neural dynamics and brain function, face recognition and perception, and visual perception and processing mechanisms.

The scientist has contributed to various subfields such as cognitive neuroscience, cellular and molecular neuroscience, biophysics, and computer vision and pattern recognition. Their scholarly output includes studies on memory and neural mechanisms, visual attention and saliency detection, domain adaptation and few-shot learning, as well as EEG and brain-computer interfaces.

Kreiman has published extensively in journals and platforms such as Nature Neuroscience, Nature Machine Intelligence, bioRxiv (Cold Spring Harbor Laboratory), Annals of the New York Academy of Sciences, and PLoS ONE. Some of their recent papers include:

  • Neurons detect cognitive boundaries to structure episodic memories in humans (2022, Nature Neuroscience)
  • A neural network trained for prediction mimics diverse features of biological neurons and perception (2020, Nature Machine Intelligence)
  • An adversarial collaboration to critically evaluate theories of consciousness (2023, bioRxiv)
  • Beyond the feedforward sweep: feedback computations in the visual cortex (2020, Annals of the New York Academy of Sciences)
  • An adversarial collaboration protocol for testing contrasting predictions of global neuronal workspace and integrated information theory (2023, PLoS ONE)

The scientist's frequent co-authors include Will Xiao, Mengmi Zhang, Marcelo Armendáriz, Spandan Madan, and Margaret S. Livingstone.

Kreiman often publishes in venues such as arXiv (Cornell University), bioRxiv, Cell Reports, and the Journal of Vision, with the largest number of publications appearing on preprint servers like arXiv and bioRxiv.

Among Kreiman's academic contributions is a book titled Biological and Computer Vision, published in 2021 by Cambridge University Press.

Best Publications

  • Widespread transcription at neuronal activity-regulated enhancers

    Tae-Kyung Kim;Martin Hemberg;Jesse M. Gray;Allen M. Costa

  • Invariant visual representation by single neurons in the human brain

    R. Quian Quiroga;L. Reddy;Gabriel Kreiman;C. Koch

  • Fast Readout of Object Identity from Macaque Inferior Temporal Cortex

    Chou P. Hung;Chou P. Hung;Gabriel Kreiman;Tomaso Poggio;James J. DiCarlo;James J. DiCarlo

  • Neural correlates of consciousness in humans

    Geraint Rees;Gabriel Kreiman;Christof Koch

  • Category-specific visual responses of single neurons in the human medial temporal lobe

    Gabriel Kreiman;Christof Koch;Itzhak Fried

  • Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

    William Edward Lotter;Gabriel Kreiman;David Daniel Cox

  • Internally generated preactivation of single neurons in human medial frontal cortex predicts volition

    Itzhak Fried;Roy Mukamel;Gabriel Kreiman

  • Imagery neurons in the human brain

    Gabriel Kreiman;Christof Koch;Itzhak Fried

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

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

  • Timing, Timing, Timing: Fast Decoding of Object Information from Intracranial Field Potentials in Human Visual Cortex

    Hesheng Liu;Hesheng Liu;Yigal Agam;Joseph Russell Madsen;Gabriel Kreiman;Gabriel Kreiman

  • Sparse but not ‘Grandmother-cell’ coding in the medial temporal lobe

    R. Quian Quiroga;R. Quian Quiroga;R. Quian Quiroga;Gabriel Kreiman;Gabriel Kreiman;Christof Koch;Itzhak Fried;Itzhak Fried

  • A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex

    T. Serre;M. Kouh;C. Cadieu;U. Knoblich

  • Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex

    Gabriel Kreiman;Chou P. Hung;Chou P. Hung;Alexander Kraskov;Rodrigo Quian Quiroga

  • Tetanic stimulation leads to increased accumulation of Ca(2+)/calmodulin-dependent protein kinase II via dendritic protein synthesis in hippocampal neurons.

    Yannan Ouyang;Alan Rosenstein;Gabriel Kreiman;Erin M. Schuman

  • A quantitative theory of immediate visual recognition.

    Thomas Serre;Gabriel Kreiman;Minjoon Kouh;Charles Cadieu

  • Single-neuron correlates of subjective vision in the human medial temporal lobe

    Gabriel Kreiman;Inbar Fried;Catherine Elizabeth Koch

  • Gene expression changes and molecular pathways mediating activity-dependent plasticity in visual cortex

    Daniela Tropea;Gabriel Kreiman;Alvin Lyckman;Alvin Lyckman;Sayan Mukherjee;Sayan Mukherjee

  • Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences.

    Carlos R. Ponce;Carlos R. Ponce;Will Xiao;Peter F. Schade;Till S. Hartmann

  • Recurrent computations for visual pattern completion.

    Hanlin Tang;Martin Schrimpf;William Lotter;Charlotte Moerman

  • Neurons detect cognitive boundaries to structure episodic memories in humans

    Unknown

  • Unsupervised Learning of Visual Structure using Predictive Generative Networks

    William Lotter;Gabriel Kreiman;David D. Cox

Frequent Co-Authors

Joseph R. Madsen
Joseph R. Madsen Boston Children's Hospital
William S. Anderson
William S. Anderson Johns Hopkins Medicine
Christof Koch
Christof Koch Allen Institute for Brain Science
Itzhak Fried
Itzhak Fried University of California, Los Angeles
Thomas Serre
Thomas Serre Brown University
David D. Cox
David D. Cox IBM (United States)
Alexandra J. Golby
Alexandra J. Golby Brigham and Women's Hospital

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Related Online Degrees & Career Pathways

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