World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
44
Citations
9986
World Ranking
7083
National Ranking
3066

Anne K. Churchland 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 Anne K. Churchland 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: 106 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Anne K. Churchland 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 Anne K. Churchland 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

Anne K. Churchland is affiliated with the University of California, Los Angeles in the United States. Their research primarily spans the field of Neuroscience, with a strong emphasis on Cognitive Neuroscience. Other subfields they contribute to include Cellular and Molecular Neuroscience, Biophysics, Molecular Biology, and Computer Vision and Pattern Recognition.

The main topics of their research work focus on neural dynamics and brain function, functional brain connectivity studies, and neuroscience and neuropharmacology research. Additional areas of study include memory and neural mechanisms, neural and behavioral psychology studies, photoreceptor and optogenetics research, and visual perception and processing mechanisms.

Notable recent papers by Anne K. Churchland include:

  • Large-scale neural recordings call for new insights to link brain and behavior, 2022, Nature Neuroscience
  • Catalyzing next-generation Artificial Intelligence through NeuroAI, 2023, Nature Communications
  • Mice alternate between discrete strategies during perceptual decision-making, 2022, Nature Neuroscience
  • Standardized and reproducible measurement of decision-making in mice, 2021, eLife
  • Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research, 2021, Neural Networks

Frequent coauthors working alongside Anne K. Churchland include:

  • Anne E Urai
  • Anup Khanal
  • Matteo Carandini
  • Zachary F. Mainen
  • Guido T. Meijer

The venues where Anne K. Churchland regularly publishes reflect their active engagement in high-impact neuroscience research. These publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • eLife
  • Nature Neuroscience
  • Nature Methods
  • Nature

Best Publications

  • Single-trial neural dynamics are dominated by richly varied movements

    Simon Musall;Matthew T Kaufman;Matthew T Kaufman;Ashley L Juavinett;Ashley L Juavinett;Steven Gluf

  • Decision-making with multiple alternatives.

    Anne K Churchland;Roozbeh Kiani;Michael N Shadlen

  • Probabilistic Population Codes for Bayesian Decision Making

    Jeffrey M. Beck;Wei Ji Ma;Wei Ji Ma;Roozbeh Kiani;Timothy Hanks

  • The cost of accumulating evidence in perceptual decision making.

    Jan Drugowitsch;Rubén Moreno-Bote;Anne K. Churchland;Michael N. Shadlen

  • A category-free neural population supports evolving demands during decision-making

    David Raposo;Matthew T Kaufman;Anne K Churchland

  • Variance as a signature of neural computations during decision-making

    Anne K. Churchland;R. Kiani;R. Kiani;R. Chaudhuri;Xiao Jing Wang

  • Probing perceptual decisions in rodents.

    Matteo Carandini;Anne K Churchland

  • Large-scale neural recordings call for new insights to link brain and behavior

    Anne E. Urai;Brent Doiron;Andrew M. Leifer;Anne K. Churchland

  • Catalyzing next-generation Artificial Intelligence through NeuroAI

    Unknown

  • Multisensory Decision-Making in Rats and Humans

    David Raposo;John P. Sheppard;John P. Sheppard;Paul R. Schrater;Anne K. Churchland

  • Partial ablations of the flocculus and ventral paraflocculus in monkeys cause linked deficits in smooth pursuit eye movements and adaptive modification of the VOR.

    H. Rambold;A. K. Churchland;Y. Selig;L. Jasmin

  • Standardized and reproducible measurement of decision-making in mice.

    Valeria Aguillon-Rodriguez;Dora Angelaki;Hannah Bayer

  • Mice alternate between discrete strategies during perceptual decision-making

    Unknown

  • Posterior Parietal Cortex Guides Visual Decisions in Rats.

    Angela M. Licata;Matthew T. Kaufman;David Raposo;Michael B. Ryan

  • Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

    Ashley Juavinett;George Bekheet;Anne Churchland

  • Excitatory and Inhibitory Subnetworks Are Equally Selective during Decision-Making and Emerge Simultaneously during Learning

    Farzaneh Najafi;Gamaleldin F. Elsayed;Robin Cao;Eftychios Pnevmatikakis

  • Neural correlates of instrumental learning in primary auditory cortex

    David T. Blake;Fabrizio Strata;Anne K. Churchland;Michael M. Merzenich

  • Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research.

    Tom Macpherson;Anne Churchland;Terry Sejnowski;James DiCarlo

  • Visual Evidence Accumulation Guides Decision-Making in Unrestrained Mice.

    Onyekachi Odoemene;Sashank Pisupati;Sashank Pisupati;Hien Nguyen;Anne K. Churchland

  • Neurobiology of decision making: An intentional framework

    M.N. Shadlen;Roozbeh Kiani;Timothy D. Hanks;Timothy D. Hanks;Anne K. Churchland;Anne K. Churchland

  • The Speed and Accuracy of a Simple Perceptual Decision: A Mathematical Primer.

    M.N. Shadlen;T.D. Hanks;A.K. Churchland;Roozbeh Kiani

  • Discharge properties of MST neurons that project to the frontal pursuit area in macaque monkeys.

    Anne K. Churchland;Stephen G. Lisberger

  • Mice alternate between discrete strategies during perceptual decision-making

    Zoe C. Ashwood;Nicholas A. Roy;Iris R. Stone

Frequent Co-Authors

Michael N. Shadlen
Michael N. Shadlen Columbia University
John P. Cunningham
John P. Cunningham Columbia University
Roozbeh Kiani
Roozbeh Kiani New York University
Anthony M. Zador
Anthony M. Zador Cold Spring Harbor Laboratory
Liam Paninski
Liam Paninski Columbia University
Stephen G. Lisberger
Stephen G. Lisberger Duke University
Zachary F. Mainen
Zachary F. Mainen Champalimaud Foundation
Alexandre Pouget
Alexandre Pouget University of Geneva
Matteo Carandini
Matteo Carandini University College London
Ilana B. Witten
Ilana B. Witten Princeton University

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Related Online Degrees & Career Pathways

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Exploring these pathways can complement your neuroscience background and broaden your professional opportunities in research, therapy, and healthcare.

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