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Earl K. Miller

Earl K. Miller

D-Index & Metrics

Neuroscience

D-Index
93
Citations
64153
World Ranking
959
National Ranking
513

Earl K. Miller 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 Earl K. Miller 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: 227 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Earl K. Miller 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 Earl K. Miller 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: 93 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Earl K. Miller is affiliated with MIT in the United States and has a research focus primarily in the field of Neuroscience.

The scientist's work covers several subfields of study including:

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Electrical and Electronic Engineering
  • Anesthesiology and Pain Medicine
  • Artificial Intelligence

The main topics in their research encompass:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neuropharmacology Research
  • Neuroscience and Neural Engineering
  • Advanced Memory and Neural Computing
  • Memory and Neural Mechanisms

Among recent papers, notable works include:

  • "Layer and rhythm specificity for predictive routing," 2020, Proceedings of the National Academy of Sciences
  • "Neural effects of propofol-induced unconsciousness and its reversal using thalamic stimulation," 2021, eLife
  • "An Ultra-Sensitive Step-Function Opsin for Minimally Invasive Optogenetic Stimulation in Mice and Macaques," 2020, Neuron
  • "Task-evoked activity quenches neural correlations and variability across cortical areas," 2020, PLoS Computational Biology
  • "Beta: bursts of cognition," 2024, Trends in Cognitive Sciences

Frequent co-authors in Earl K. Miller's publications include:

  • Scott L. Brincat
  • Mikael Lundqvist
  • Meredith Mahnke
  • André M. Bastos
  • Emery N. Brown

The scientist's work has been published frequently in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Cognitive Neuroscience
  • PLoS Computational Biology
  • Neuron
  • Trends in Cognitive Sciences

Best Publications

  • An integrative theory of prefrontal cortex function

    Earl K. Miller;Jonathan D. Cohen

  • Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices.

    Timothy J. Buschman;Earl K. Miller

  • The prefrontal cortex and cognitive control.

    Earl K. Miller

  • Neural Mechanisms of Visual Working Memory in Prefrontal Cortex of the Macaque

    Earl K. Miller;Cynthia A. Erickson;Robert Desimone

  • The importance of mixed selectivity in complex cognitive tasks

    Mattia Rigotti;Omri Barak;Omri Barak;Melissa R. Warden;Melissa R. Warden;Xiao Jing Wang;Xiao Jing Wang

  • A neural basis for visual search in inferior temporal cortex

    Leonardo Chelazzi;Earl K. Miller;John Duncan;Robert Desimone

  • Categorical Representation of Visual Stimuli in the Primate Prefrontal Cortex

    David J. Freedman;Maximilian Riesenhuber;Maximilian Riesenhuber;Tomaso Poggio;Tomaso Poggio;Earl K. Miller

  • Single neurons in prefrontal cortex encode abstract rules.

    Jonathan D. Wallis;Kathleen C. Anderson;Earl K. Miller

  • Integration of what and where in the primate prefrontal cortex.

    S. Chenchal Rao;Gregor Rainer;Earl K. Miller

  • Activity of neurons in anterior inferior temporal cortex during a short- term memory task

    Earl K. Miller;Lin Li;Robert Desimone

  • Representation of the Quantity of Visual Items in the Primate Prefrontal Cortex

    Andreas Nieder;David J. Freedman;Earl K. Miller

  • Responses of Neurons in Inferior Temporal Cortex During Memory-Guided Visual Search

    Leonardo Chelazzi;John Duncan;Earl K. Miller;Robert Desimone

  • Gamma and Beta Bursts Underlie Working Memory

    Mikael Lundqvist;Jonas Rose;Pawel Herman;Scott L. Brincat

  • Different time courses of learning-related activity in the prefrontal cortex and striatum

    Anitha Pasupathy;Earl K. Miller

  • A neural mechanism for working and recognition memory in inferior temporal cortex

    Earl K. Miller;Lin Li;Robert Desimone

  • Why neurons mix: high dimensionality for higher cognition

    Stefano Fusi;Earl K Miller;Mattia Rigotti

  • Working Memory 2.0.

    Earl K. Miller;Mikael Lundqvist;André M. Bastos

  • Selective representation of relevant information by neurons in the primate prefrontal cortex

    Gregor Rainer;Wael F. Asaad;Earl K. Miller

  • Parallel neuronal mechanisms for short-term memory

    Earl K. Miller;Robert Desimone

  • Neuronal activity in primate dorsolateral and orbital prefrontal cortex during performance of a reward preference task.

    Jonathan D. Wallis;Earl K. Miller

  • Coding of Cognitive Magnitude: Compressed Scaling of Numerical Information in the Primate Prefrontal Cortex

    Andreas Nieder;Earl K. Miller

  • Neural Activity in the Primate Prefrontal Cortex during Associative Learning

    Wael F Asaad;Gregor Rainer;Earl K Miller

Frequent Co-Authors

Markus Siegel
Markus Siegel University of Tübingen
David J. Freedman
David J. Freedman University of Chicago
Maximilian Riesenhuber
Maximilian Riesenhuber Georgetown University Medical Center
Jonathan D. Wallis
Jonathan D. Wallis University of California, Berkeley
Stefano Fusi
Stefano Fusi Columbia University
John S. Duncan
John S. Duncan University College London

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