World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
42
Citations
11294
World Ranking
7525
National Ranking
3243

Stefan Mihalas 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 Stefan Mihalas 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: 118 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Stefan Mihalas 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 Stefan Mihalas 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: 42 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Stefan Mihalas is affiliated with the Allen Institute for Brain Science in the United States. Their research spans multiple areas within neuroscience, focusing largely on neural dynamics and brain function. The main fields of study include Neuroscience with a specialization in Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, and Molecular Biology.

The scientist's work addresses several key topics, including:

  • Neural dynamics and brain function
  • Neuroscience and Neuropharmacology Research
  • Advanced Memory and Neural Computing
  • Visual perception and processing mechanisms
  • Functional Brain Connectivity Studies
  • Neural Networks and Reservoir Computing
  • Cell Image Analysis Techniques

Stefan Mihalas has an extensive publication record with notable papers such as:

  • Survey of spiking in the mouse visual system reveals functional hierarchy, 2021, Nature
  • Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex, 2020, Neuron
  • Mesolimbic dopamine release conveys causal associations, 2022, Science
  • Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network, 2020, Neuron
  • Experience shapes activity dynamics and stimulus coding of VIP inhibitory cells, 2020, eLife

The scientist frequently collaborates with other researchers in the field. Their frequent co-authors include:

  • Shawn R. Olsen
  • Eric Shea-Brown
  • Christof Koch
  • Peter A. Groblewski
  • Marina Garrett

Stefan Mihalas publishes in a variety of venues, with multiple papers appearing in:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • PLoS Computational Biology
  • Nature Neuroscience
  • Neuron

Best Publications

  • A mesoscale connectome of the mouse brain

    Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow

  • Hierarchical organization of cortical and thalamic connectivity

    Julie A. Harris;Stefan Mihalas;Karla E. Hirokawa;Jennifer D. Whitesell

  • Canonical Genetic Signatures of the Adult Human Brain

    Michael Hawrylycz;Jeremy A. Miller;Vilas Menon;David Feng

  • Survey of spiking in the mouse visual system reveals functional hierarchy

    Joshua H. Siegle;Xiaoxuan Jia;Séverine Durand;Sam Gale

  • Classification of electrophysiological and morphological neuron types in the mouse visual cortex.

    Nathan W. Gouwens;Staci A. Sorensen;Jim Berg;Changkyu Lee

  • Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex.

    Yazan N. Billeh;Binghuang Cai;Sergey L. Gratiy;Kael Dai

  • A large-scale standardized physiological survey reveals functional organization of the mouse visual cortex

    Saskia E. J. de Vries;Jerome A. Lecoq;Michael A. Buice;Peter A. Groblewski

  • Generalized leaky integrate-and-fire models classify multiple neuron types.

    Corinne Teeter;Ramakrishnan Iyer;Vilas Menon;Vilas Menon;Nathan Gouwens

  • Large-scale topology and the default mode network in the mouse connectome

    James M. Stafford;Benjamin R. Jarrett;Oscar Miranda-Dominguez;Brian D. Mills

  • Mesolimbic dopamine release conveys causal associations

    Unknown

  • Self-organized criticality occurs in non-conservative neuronal networks during /`up/' states

    Daniel Millman;Stefan Mihalas;Alfredo Kirkwood;Ernst Niebur

  • Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex.

    Stephanie C Seeman;Luke Campagnola;Pasha A Davoudian;Alex Hoggarth

  • A Model for Neuronal Competition During Development

    Christopher D. Deppmann;Stefan Mihalas;Nikhil Sharma;Bonnie E. Lonze

  • A generalized linear integrate-and-fire neural model produces diverse spiking behaviors

    Ştefan Mihalaş;Ernst Niebur

  • Ca2+/calmodulin-dependent protein kinase II (CaMKII) is activated by calmodulin with two bound calciums

    Julia M. Shifman;Mee H. Choi;Stefan Mihalas;Stephen L. Mayo

  • Single-cell activity tracking reveals that orbitofrontal neurons acquire and maintain a long-term memory to guide behavioral adaptation

    Vijay Mohan K Namboodiri;Vijay Mohan K Namboodiri;James M Otis;James M Otis;Kay van Heeswijk;Kay van Heeswijk;Elisa S Voets

  • A Comparison of Visual Response Properties in the Lateral Geniculate Nucleus and Primary Visual Cortex of Awake and Anesthetized Mice.

    Séverine Durand;Ramakrishnan Iyer;Kenji Mizuseki;Saskia de Vries

  • A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex

    de Vries Sej;Lecoq J;Buice Ma;Groblewski Pa

  • High-resolution data-driven model of the mouse connectome

    Joseph E. Knox;Joseph E. Knox;Kameron Decker Harris;Nile Graddis;Jennifer D. Whitesell

  • Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network

    Jennifer D. Whitesell;Adam Liska;Ludovico Coletta;Ludovico Coletta;Karla E. Hirokawa

  • Everyone knows what is interesting: salient locations which should be fixated.

    Christopher Michael Masciocchi;Stefan Mihalas;Derrick Parkhurst;Ernst Niebur

  • A model for neuronal competition during development

    C.D. Deppmann;S. Mihalas;N. Sharma;B.E. Lonze

Frequent Co-Authors

Christof Koch
Christof Koch Allen Institute for Brain Science
Ernst Niebur
Ernst Niebur Johns Hopkins University
Hongkui Zeng
Hongkui Zeng Allen Institute for Brain Science
Julie A. Harris
Julie A. Harris University of California, San Francisco
Amy Bernard
Amy Bernard Kavli Foundation
R. Clay Reid
R. Clay Reid Allen Institute for Brain Science
Lydia Ng
Lydia Ng Allen Institute for Brain Science
Michael Hawrylycz
Michael Hawrylycz Allen Institute for Brain Science
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University

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