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D-Index & Metrics

Neuroscience

D-Index
78
Citations
38975
World Ranking
1723
National Ranking
835

Larry F. Abbott 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 Larry F. Abbott 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: 182 publications — 56th percentile

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

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

Larry F. Abbott 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 Larry F. Abbott 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: 78 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2014 - Member of the National Academy of Sciences
  • 2013 - Mathematical Neuroscience Prize, Israel Brain Technologies (IBT)
  • 2010 - Swartz Prize for Theoretical and Computational Neuroscience
  • 2008 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2004 - National Institutes of Health Director's Pioneer Award

Overview

Larry F. Abbott is affiliated with Columbia University in the United States and conducts research primarily in the field of Neuroscience. Their work spans multiple subfields, including Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems, Ecology, Evolution, Behavior and Systematics, as well as Artificial Intelligence.

The researcher has contributed extensively to various main topics within neuroscience, particularly focusing on Neurobiology and Insect Physiology Research, Olfactory and Sensory Function Studies, Animal Behavior and Reproduction, Memory and Neural Mechanisms, Insect and Arachnid Ecology and Behavior, Phonocardiography and Auscultation Techniques, and Neuroscience and Neuropharmacology Research.

Larry F. Abbott has published recent papers in reputed journals and venues. Notable publications include:

  • Transient and Persistent Representations of Odor Value in Prefrontal Cortex, 2020, Neuron
  • Olfactory landmarks and path integration converge to form a cognitive spatial map, 2021, Neuron
  • Meta-learning synaptic plasticity and memory addressing for continual familiarity detection, 2021, Neuron
  • Evolving the olfactory system with machine learning, 2021, Neuron
  • The spatial and temporal structure of neural activity across the fly brain, 2023, Nature Communications

Their frequent co-authors include Richard Axel, Peter Y. Wang, Guangyu Robert Yang, Milan Marocchi, and Yue Rong.

Larry F. Abbott has published in a variety of venues, with multiple contributions to bioRxiv (Cold Spring Harbor Laboratory), Neuron, Current Biology, arXiv (Cornell University), and Nature Communications.

Throughout their career, Larry F. Abbott has received several awards and recognitions:

  • Member of the National Academy of Sciences (2014)
  • Mathematical Neuroscience Prize, Israel Brain Technologies (IBT) (2013)
  • Swartz Prize for Theoretical and Computational Neuroscience (2010)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2008)
  • National Institutes of Health Director's Pioneer Award (2004)

Best Publications

  • Competitive Hebbian learning through spike-timing-dependent synaptic plasticity

    Sen Song;Kenneth D. Miller;L. F. Abbott

  • Synaptic plasticity: taming the beast

    L. F. Abbott;Sacha B. Nelson

  • SYNAPTIC DEPRESSION AND CORTICAL GAIN CONTROL

    L. F. Abbott;J. A. Varela;Kamal Sen;S. B. Nelson

  • Synaptic computation

    Unknown

  • Generating coherent patterns of activity from chaotic neural networks.

    David Sussillo;L.F. Abbott

  • Gain modulation from background synaptic input.

    Frances S Chance;L.F Abbott;Alex D Reyes

  • The neuronal architecture of the mushroom body provides a logic for associative learning

    Yoshinori Aso;Daisuke Hattori;Yang Yu;Rebecca M. Johnston

  • The effect of correlated variability on the accuracy of a population code

    L. F. Abbott;Peter Dayan

  • Lapicque's introduction of the integrate-and-fire model neuron (1907).

    L.F Abbott

  • When inhibition not excitation synchronizes neural firing.

    Carl Van Vreeswijk;L. F. Abbott;G. Bard Ermentrout

  • Inferring single-trial neural population dynamics using sequential auto-encoders.

    Chethan Pandarinath;Daniel J. O’Shea;Jasmine Collins;Rafal Jozefowicz;Rafal Jozefowicz

  • A Quantitative Description of Short-Term Plasticity at Excitatory Synapses in Layer 2/3 of Rat Primary Visual Cortex

    Juan A. Varela;Kamal Sen;Jay Gibson;Jay Gibson;Joshua Fost

  • Cascade models of synaptically stored memories.

    Stefano Fusi;Patrick J. Drew;L.F. Abbott

  • Vector reconstruction from firing rates

    Emilio Salinas;L. F. Abbott

  • Activity-dependent changes in the intrinsic properties of cultured neurons

    Gina Turrigiano;L. F. Abbott;Eve Marder

  • Cortical Development and Remapping through Spike Timing-Dependent Plasticity

    Sen Song;L.F. Abbott

  • Responses of neurons in primary and inferior temporal visual cortices to natural scenes.

    Roland Baddeley;L. F. Abbott;Michael C. A. Booth;Frank Sengpiel

  • Signal Propagation and Logic Gating in Networks of Integrate-and-Fire Neurons

    Tim P. Vogels;L. F. Abbott

  • The complete connectome of a learning and memory centre in an insect brain

    Katharina Eichler;Feng Li;Ashok Litwin-Kumar;Youngser Park

  • Synaptic Depression and the Temporal Response Characteristics of V1 Cells

    Frances S. Chance;Sacha B. Nelson;L. F. Abbott

  • Random convergence of olfactory inputs in the Drosophila mushroom body

    Sophie J. C. Caron;Vanessa Ruta;L. F. Abbott;Richard Axel;Richard Axel

  • Global structure, robustness, and modulation of neuronal models.

    Mark S. Goldman;Jorge Golowasch;Eve Marder;L. F. Abbott

  • A model of multiplicative neural responses in parietal cortex

    Emilio Salinas;L. F. Abbott

Frequent Co-Authors

Richard Axel
Richard Axel Columbia University
Eve Marder
Eve Marder Brandeis University
Haim Sompolinsky
Haim Sompolinsky Hebrew University of Jerusalem
Mark J. Schnitzer
Mark J. Schnitzer Stanford University
Mark M. Churchland
Mark M. Churchland Columbia University
Thomas B. Kepler
Thomas B. Kepler Boston University
Albert Cardona
Albert Cardona University of Cambridge
Fred Wolf
Fred Wolf Max Planck Society
Mark B. Wise
Mark B. Wise California Institute of Technology
Gerald M. Rubin
Gerald M. Rubin Howard Hughes Medical Institute

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