World's Best Scientists 2026 revealed!
Kai J. Miller

Kai J. Miller

D-Index & Metrics

Neuroscience

D-Index
58
Citations
15446
World Ranking
4120
National Ranking
1872

Kai J. 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 Kai J. 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: 188 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Kai J. 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 Kai J. 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: 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.

Overview

Kai J. Miller is a researcher affiliated with the Mayo Clinic in the United States, specializing primarily in the fields of neuroscience and medicine. Their work encompasses several subfields including cognitive neuroscience, neurology, cellular and molecular neuroscience, psychiatry and mental health, as well as radiology, nuclear medicine, and imaging.

Their research topics cover a broad range of subjects related to brain function and neurological conditions, with a particular focus on:

  • EEG and Brain-Computer Interfaces
  • Neurological disorders and treatments
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Epilepsy research and treatment
  • Neuroscience and Neuropharmacology Research

Miller has contributed to numerous scholarly articles, with significant papers including:

  • "Advances in human intracranial electroencephalography research, guidelines and good practices" (2022), published in NeuroImage
  • "The current state of electrocorticography-based brain-computer interfaces" (2020), published in Neurosurgical FOCUS
  • "The development of an implantable deep brain stimulation device with simultaneous chronic electrophysiological recording and stimulation in humans" (2020), published in Biosensors and Bioelectronics
  • "Developmental trajectory of transmission speed in the human brain" (2023), published in Nature Neuroscience
  • "Surgical Outcomes of Laser Interstitial Thermal Therapy for Temporal Lobe Epilepsy: Systematic Review and Meta-analysis" (2020), published in World Neurosurgery

The researcher has collaborated extensively, with frequent co-authors including Gregory A. Worrell, Dora Hermes, Nicholas M. Gregg, Jamie J. Van Gompel, and Brian N. Lundstrom.

Miller's publications often appear in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • Neuromodulation Technology at the Neural Interface
  • Epilepsia
  • Operative Neurosurgery

This body of work reflects a sustained focus on advancing understanding and treatment of neurological conditions through innovative research methodologies including electrophysiological techniques and brain-computer interface technologies.

Best Publications

  • Review of the BCI Competition IV

    Michael Tangermann;Klaus Robert Müller;Ad Aertsen;Niels Birbaumer

  • Power-Law Scaling in the Brain Surface Electric Potential

    Kai J. Miller;Larry B. Sorensen;Jeffrey G. Ojemann;Marcel den Nijs

  • Spectral changes in cortical surface potentials during motor movement.

    Kai J. Miller;Eric C. Leuthardt;Gerwin Schalk;Rajesh P. N. Rao

  • Cortical activity during motor execution, motor imagery, and imagery-based online feedback

    Kai J. Miller;Gerwin Schalk;Eberhard E. Fetz;Marcel den Nijs

  • Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.

    G Schalk;J Kubánek;K J Miller;N R Anderson

  • Two-dimensional movement control using electrocorticographic signals in humans

    G. Schalk;G. Schalk;G. Schalk;K. J. Miller;N. R. Anderson;J. A. Wilson

  • Exaggerated phase–amplitude coupling in the primary motor cortex in Parkinson disease

    Coralie de Hemptinne;Elena S. Ryapolova-Webb;Ellen L. Air;Paul A. Garcia

  • Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans.

    K. J. Miller;S. Zanos;E. E. Fetz;M. den Nijs

  • Online Electromyographic Control of a Robotic Prosthesis

    P. Shenoy;K.J. Miller;B. Crawford;R.P.N. Rao

  • Dynamic circuit motifs underlying rhythmic gain control, gating and integration.

    Thilo Womelsdorf;Taufik A Valiante;Ned T Sahin;Kai J Miller

  • Electrocorticography-based brain computer Interface-the seattle experience

    E.C. Leuthardt;K.J. Miller;G. Schalk;R.P.N. Rao

  • Decoding flexion of individual fingers using electrocorticographic signals in humans.

    J Kubánek;K J Miller;J G Ojemann;J R Wolpaw

  • Broadband changes in the cortical surface potential track activation of functionally diverse neuronal populations

    Kai J Miller;Christopher J Honey;Dora Hermes;Rajesh P N Rao

  • Automated electrocorticographic electrode localization on individually rendered brain surfaces

    Dora Hermes;Kai J. Miller;Herke Jan Noordmans;Mariska J. Vansteensel

  • Decoding spoken words using local field potentials recorded from the cortical surface

    Spencer Kellis;Kai Miller;Kyle Thomson;Richard Brown

  • Testing for nested oscillation

    W.D. Penny;E. Duzel;K.J. Miller;J.G. Ojemann

  • Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms

    Kai J. Miller;Dora Hermes;Dora Hermes;Christopher J. Honey;Adam O. Hebb

  • A Brain Area for Visual Numerals

    Jennifer Shum;Dora Hermes;Brett L. Foster;Mohammad Dastjerdi

  • Subthalamic nucleus neurons are synchronized to primary motor cortex local field potentials in Parkinson's disease.

    Shoichi A. Shimamoto;Elena S. Ryapolova-Webb;Jill L. Ostrem;Nicholas B. Galifianakis

  • Advances in human intracranial electroencephalography research, guidelines and good practices

    Unknown

  • Stimulus Dependence of Gamma Oscillations in Human Visual Cortex

    Dora Hermes;Dora Hermes;KJ Miller;KJ Miller;BA Wandell;Jonathan Winawer;Jonathan Winawer

Frequent Co-Authors

Jeffrey G. Ojemann
Jeffrey G. Ojemann University of Washington
Rajesh P. N. Rao
Rajesh P. N. Rao University of Washington
Gerwin Schalk
Gerwin Schalk Sichuan University
Casey H. Halpern
Casey H. Halpern University of Pennsylvania
Josef Parvizi
Josef Parvizi Stanford University
Eberhard E. Fetz
Eberhard E. Fetz University of Washington
Nick F. Ramsey
Nick F. Ramsey Utrecht University
Eric C. Leuthardt
Eric C. Leuthardt Washington University in St. Louis
Corentin Jacques
Corentin Jacques Université Catholique de Louvain
Jonathan Winawer
Jonathan Winawer New York University

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