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Lee E. Miller

D-Index & Metrics

Neuroscience

D-Index
60
Citations
11237
World Ranking
3880
National Ranking
1765

Lee E. 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 Lee E. 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: 175 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Lee E. 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 Lee E. 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: 60 D-Index — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Overview

Lee E. Miller is affiliated with Northwestern University in the United States. Miller's work is situated primarily within the fields of Neuroscience and Engineering, with significant contributions to Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biomedical Engineering, Electrical and Electronic Engineering, and Social Psychology.

The scope of Miller's research includes key topics such as EEG and Brain-Computer Interfaces, Neural dynamics and brain function, Neuroscience and Neural Engineering, Muscle activation and electromyography studies, Motor Control and Adaptation, Advanced Memory and Neural Computing, and Tactile and Sensory Interactions.

Miller has authored numerous scientific papers with recent notable publications including:

  • Long-term stability of cortical population dynamics underlying consistent behavior, 2020, Nature Neuroscience
  • Preserved neural dynamics across animals performing similar behaviour, 2023, Nature
  • Estimating the dimensionality of the manifold underlying multi-electrode neural recordings, 2021, PLoS Computational Biology
  • Area 2 of primary somatosensory cortex encodes kinematics of the whole arm, 2020, eLife
  • A large-scale neural network training framework for generalized estimation of single-trial population dynamics, 2022, Nature Methods

Miller frequently collaborates with a group of recurring coauthors, including:

  • Sliman J. Bensmaïa (20 coauthored works)
  • Matthew G. Perich (19 coauthored works)
  • Juan Álvaro Gallego (14 coauthored works)
  • Raeed H. Chowdhury (14 coauthored works)
  • Kevin Bodkin (13 coauthored works)

The scientist's research has been published extensively in various scientific venues. Most frequently published outlets include:

  • bioRxiv (Cold Spring Harbor Laboratory) with 32 publications
  • Journal of Neural Engineering with 9 publications
  • Nature Communications with 6 publications
  • Nature Biomedical Engineering with 4 publications
  • arXiv (Cornell University) with 4 publications

Best Publications

  • Neural Manifolds for the Control of Movement.

    Juan Álvaro Gallego;Juan Álvaro Gallego;Matthew G. Perich;Lee E. Miller;Sara A. Solla

  • Restoration of grasp following paralysis through brain-controlled stimulation of muscles

    C. Ethier;E. R. Oby;M. J. Bauman;L. E. Miller

  • Restoring sensorimotor function through intracortical interfaces: progress and looming challenges

    Sliman J. Bensmaia;Lee E. Miller

  • Long-term stability of cortical population dynamics underlying consistent behavior

    Juan A. Gallego;Matthew G. Perich;Raeed H. Chowdhury;Sara A. Solla

  • Cortical population activity within a preserved neural manifold underlies multiple motor behaviors.

    Juan Álvaro Gallego;Juan Álvaro Gallego;Matthew G. Perich;Stephanie N. Naufel;Christian Ethier

  • Primary motor cortical neurons encode functional muscle synergies

    R. N. Holdefer;L. E. Miller

  • Machine Learning for Neural Decoding.

    Joshua I. Glaser;Ari S. Benjamin;Raeed H. Chowdhury;Matthew G. Perich

  • Brain–machine interfaces: computational demands and clinical needs meet basic neuroscience

    Ferdinando A. Mussa-Ivaldi;Lee E. Miller

  • Accurate decoding of reaching movements from field potentials in the absence of spikes

    Robert Davisson Flint;Eric W. Lindberg;Luke R. Jordan;Lee E Miller

  • Prediction of Muscle Activity by Populations of Sequentially Recorded Primary Motor Cortex Neurons

    M. M. Morrow;L. E. Miller

  • A Neural Population Mechanism for Rapid Learning

    Matthew G. Perich;Juan Álvaro Gallego;Lee E. Miller

  • Optimal spacing of surface electrode arrays for brain-machine interface applications.

    Marc W Slutzky;Luke R Jordan;Todd Krieg;Ming Chen

  • Inferring functional connections between neurons

    Ian H. Stevenson;James M. Rebesco;Lee E Miller;Konrad Paul Kording;Konrad Paul Kording

  • The use of overlapping submovements in the control of rapid hand movements.

    K. Novak;Lee E Miller;James Charles Houk

  • Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles

    Eric A. Pohlmeyer;Emily R. Oby;Eric J. Perreault;Sara A. Solla

  • Prediction of upper limb muscle activity from motor cortical discharge during reaching

    Eric A Pohlmeyer;Sara A Solla;Eric J Perreault;Lee E Miller

  • Kinematic properties of rapid hand movements in a knob turning task.

    K. E. Novak;Lee E Miller;James Charles Houk

  • Electrical Stimulation of the Proprioceptive Cortex (Area 3a) Used to Instruct a Behaving Monkey

    B.M. London;L.R. Jordan;C.R. Jackson;L.E. Miller

  • The relative activation of muscles during isometric contractions and low-velocity movements against a load

    M.M.H.J. Theeuwen;C.C.A.M. Gielen;L.E. Miller

  • Bayesian Inference of Functional Connectivity and Network Structure From Spikes

    I.H. Stevenson;J.M. Rebesco;N.G. Hatsopoulos;Z. Haga

  • Functional Connectivity Between Cerebellum and Primary Motor Cortex in the Awake Monkey

    R. N. Holdefer;L. E. Miller;L. L. Chen;J. C. Houk

  • Correlation and spectral analysis of relations between single unit discharge and muscle activities.

    James Charles Houk;D. A. Dessem;Lee E Miller;Elzbieta H. Sybirska

Frequent Co-Authors

Konrad P. Kording
Konrad P. Kording University of Pennsylvania
James C. Houk
James C. Houk Northwestern University
Eric J. Perreault
Eric J. Perreault Northwestern University
Nicholas G. Hatsopoulos
Nicholas G. Hatsopoulos University of Chicago
Thomas Sinkjær
Thomas Sinkjær Aalborg University
Sliman J. Bensmaia
Sliman J. Bensmaia University of Chicago
Dustin J. Tyler
Dustin J. Tyler Case Western Reserve University
Douglas J. Weber
Douglas J. Weber Carnegie Mellon University
John F. Kalaska
John F. Kalaska University of Montreal
Warren M. Grill
Warren M. Grill Duke University

External Links

Personal website of Lee E. Miller Google Scholar page

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