World's Best Scientists 2026 revealed!
E. J. Chichilnisky

E. J. Chichilnisky

D-Index & Metrics

Neuroscience

D-Index
58
Citations
14340
World Ranking
4129
National Ranking
1874

E. J. Chichilnisky 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 E. J. Chichilnisky 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: 158 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

E. J. Chichilnisky 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 E. J. Chichilnisky 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: 58 D-Index — 57th percentile

57% 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

  • 2000 - Fellow of Alfred P. Sloan Foundation

Overview

E. J. Chichilnisky is affiliated with Stanford University in the United States. Their research primarily spans the fields of neuroscience and engineering, with significant contributions to subfields including cellular and molecular neuroscience, cognitive neuroscience, electrical and electronic engineering, molecular biology, and biophysics.

The main topics of their work cover a variety of areas such as neuroscience and neural engineering, neural dynamics and brain function, advanced memory and neural computing, photoreceptor and optogenetics research, EEG and brain-computer interfaces, retinal development and disorders, and visual perception and processing mechanisms.

Chichilnisky has contributed to research published in multiple venues frequently, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • eLife
  • IEEE Journal of Solid-State Circuits
  • Journal of Neuroscience

Selected recent publications by Chichilnisky include:

  • Massively parallel microwire arrays integrated with CMOS chips for neural recording, 2020, Science Advances
  • YASS: Yet Another Spike Sorter applied to large-scale multi-electrode array recordings in primate retina, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Reconstruction of natural images from responses of primate retinal ganglion cells, 2020, eLife
  • Inference of nonlinear receptive field subunits with spike-triggered clustering, 2020, eLife
  • Computational challenges and opportunities for a bi-directional artificial retina, 2020, Journal of Neural Engineering

The scientist has collaborated frequently with several co-authors, including:

  • Alexander Sher
  • A. M. Litke
  • Alexandra Kling
  • Nishal P. Shah
  • Alex Gogliettino

Among the awards received, Chichilnisky was named a Fellow of the Alfred P. Sloan Foundation in 2000.

Best Publications

  • Spatio-temporal correlations and visual signalling in a complete neuronal population

    Jonathan William Pillow;Jonathon Shlens;Liam Paninski;Alexander Sher

  • fMRI of human visual cortex

    Stephen A. Engel;David E. Rumelhart;Brian A. Wandell;Adrian T. Lee

  • A simple white noise analysis of neuronal light responses.

    E.J. Chichilnisky

  • The structure of multi-neuron firing patterns in primate retina

    Jonathon Shlens;Greg D. Field;Jeffrey L. Gauthier;Matthew I. Grivich

  • Functional asymmetries in ON and OFF ganglion cells of primate retina

    E. J. Chichilnisky;Rachel S. Kalmar

  • Information Processing in the Primate Retina: Circuitry and Coding

    G. D. Field;E. J. Chichilnisky

  • Prediction and decoding of retinal ganglion cell responses with a probabilistic spiking model.

    Jonathan W. Pillow;Liam Paninski;Valerie J. Uzzell;Eero P. Simoncelli

  • What does the eye tell the brain?: Development of a system for the large-scale recording of retinal output activity

    A.M. Litke;N. Bezayiff;E.J. Chichilnisky;W. Cunningham

  • Functional connectivity in the retina at the resolution of photoreceptors

    Greg D. Field;Jeffrey L. Gauthier;Jeffrey L. Gauthier;Alexander Sher;Martin Greschner

  • Electrical Stimulation of Mammalian Retinal Ganglion Cells With Multielectrode Arrays

    Chris Sekirnjak;Pawel Hottowy;Alexander Sher;Wladyslaw Dabrowski

  • Adaptation to Temporal Contrast in Primate and Salamander Retina

    Divya Chander;E. J. Chichilnisky

  • High-Resolution Electrical Stimulation of Primate Retina for Epiretinal Implant Design

    Chris Sekirnjak;Pawel Hottowy;Alexander Sher;Wladyslaw Dabrowski

  • Spatial Properties and Functional Organization of Small Bistratified Ganglion Cells in Primate Retina

    Greg D. Field;Alexander Sher;Jeffrey L. Gauthier;Martin Greschner

  • Precision of spike trains in primate retinal ganglion cells.

    V. J. Uzzell;E. J. Chichilnisky

  • Massively parallel microwire arrays integrated with CMOS chips for neural recording

    Abdulmalik Obaid;Mina-Elraheb Hanna;Yu-Wei Wu;Mihaly Kollo;Mihaly Kollo

  • Identification and Characterization of a Y-Like Primate Retinal Ganglion Cell Type

    Dumitru Petrusca;Matthew I Grivich;Alexander Sher;Greg D Field

  • The Structure of Large-Scale Synchronized Firing in Primate Retina

    Jonathon Shlens;Greg D. Field;Jeffrey L. Gauthier;Martin Greschner

  • Photoreceptor sensitivity changes explain color appearance shifts induced by large uniform backgrounds in dichoptic matching

    Eduardo-José Chichilnisky;Brian A. Wandell

  • Direction Selectivity in the Retina Is Established Independent of Visual Experience and Cholinergic Retinal Waves

    Justin Elstrott;Anastasia Anishchenko;Martin Greschner;Alexander Sher

  • A Model-Based Spike Sorting Algorithm for Removing Correlation Artifacts in Multi-Neuron Recordings

    Jonathan W. Pillow;Jonathon Shlens;E. J. Chichilnisky;Eero P. Simoncelli

  • Fidelity of the ensemble code for visual motion in primate retina.

    E. S. Frechette;A. Sher;M. I. Grivich;D. Petrusca

  • Receptive-field microstructure of blue-yellow ganglion cells in primate retina.

    E. J. Chichilnisky;E. J. Chichilnisky;D. A. Baylor

Frequent Co-Authors

Alexander Sher
Alexander Sher University of California, Santa Cruz
Liam Paninski
Liam Paninski Columbia University
Eero P. Simoncelli
Eero P. Simoncelli New York University
Jonathon Shlens
Jonathon Shlens Google (United States)
Brian A. Wandell
Brian A. Wandell Stanford University
Fred Rieke
Fred Rieke University of Washington
Jonathan W. Pillow
Jonathan W. Pillow Princeton University
Thomas D. Albright
Thomas D. Albright Salk Institute for Biological Studies
David H. Brainard
David H. Brainard University of Pennsylvania
Marla B. Feller
Marla B. Feller University of California, Berkeley

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