World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
78
Citations
25896
World Ranking
1748
National Ranking
847

Brian Litt 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 Brian Litt 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: 287 publications — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Brian Litt 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 Brian Litt 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: 78 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - National Institutes of Health Director's Pioneer Award

Overview

Brian Litt is affiliated with the University of Pennsylvania in the United States, with a research focus spanning several domains within neuroscience and medicine. Their work primarily addresses areas such as cognitive neuroscience, psychiatry and mental health, cellular and molecular neuroscience, radiology, nuclear medicine and imaging, and artificial intelligence.

Their research topics include multiple aspects of brain function and neurological disorders, notably:

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

Brian Litt has published extensively, with numerous contributions appearing in prominent venues such as bioRxiv (Cold Spring Harbor Laboratory), Epilepsia, Brain, Journal of Neural Engineering, and Brain Communications.

Some recent publications include:

  • "Low-field MRI: Clinical promise and challenges," 2022, Journal of Magnetic Resonance Imaging
  • "Towards network-guided neuromodulation for epilepsy," 2022, Brain
  • "Time-evolving controllability of effective connectivity networks during seizure progression," 2021, Proceedings of the National Academy of Sciences
  • "Normative intracranial EEG maps epileptogenic tissues in focal epilepsy," 2021, Brain
  • "Quantitative approaches to guide epilepsy surgery from intracranial EEG," 2023, Brain

Frequent collaborators include Kathryn A. Davis, Erin C. Conrad, Joel M. Stein, John M. Bernabei, and William K.S. Ojemann, indicating a sustained pattern of cooperative research efforts in their field.

Brian Litt's body of work aligns closely with their main fields of study, which comprise 116 publications in neuroscience and 80 in medicine overall. The integration of advanced imaging techniques, brain signal analysis, and clinical applications in epilepsy and brain-computer interfaces constitutes a significant aspect of their research profile.

In recognition of their research contributions, Brian Litt received the National Institutes of Health Director's Pioneer Award in 2020.

Best Publications

  • Dissolvable films of silk fibroin for ultrathin conformal bio-integrated electronics

    Dae Hyeong Kim;Jonathan Viventi;Jason J. Amsden;Jianliang Xiao

  • Flexible, foldable, actively multiplexed, high-density electrode array for mapping brain activity in vivo

    Jonathan Viventi;Dae Hyeong Kim;Leif Vigeland;Eric S. Frechette

  • Materials for multifunctional balloon catheters with capabilities in cardiac electrophysiological mapping and ablation therapy

    Dae Hyeong Kim;Nanshu Lu;Roozbeh Ghaffari;Yun Soung Kim

  • Epileptic seizures may begin hours in advance of clinical onset: a report of five patients.

    Brian Litt;Rosana Esteller;Rosana Esteller;Javier Echauz;Javier Echauz;Maryann D'Alessandro

  • Drug discovery: a jump-start for electroceuticals.

    Kristoffer Famm;Brian Litt;Kevin J. Tracey;Edward S. Boyden

  • Race and Sex Differences in the Distribution of Cerebral Atherosclerosis

    R. J. Wityk;D. Lehman;M. Klag;J. Coresh

  • High‐frequency oscillations and seizure generation in neocortical epilepsy

    Greg A. Worrell;Landi Parish;Stephen D. Cranstoun;Rachel Jonas

  • Transparent, flexible, low-noise graphene electrodes for simultaneous electrophysiology and neuro-imaging

    Duygu Kuzum;Ertugrul Cubukcu;Brian Litt

  • Prediction of epileptic seizures

    Brian Litt;Javier Echauz

  • High-frequency oscillations in human temporal lobe : simultaneous microwire and clinical macroelectrode recordings

    Greg A. Worrell;Andrew B. Gardner;S. Matt Stead;Sanqing Hu

  • Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy.

    John F. Kerrigan;Brian Litt;Robert S. Fisher;Stephen Cranstoun

  • Bioresorbable silicon electronics for transient spatiotemporal mapping of electrical activity from the cerebral cortex

    Ki Jun Yu;Duygu Kuzum;Duygu Kuzum;Suk Won Hwang;Bong Hoon Kim

  • A Conformal, Bio-Interfaced Class of Silicon Electronics for Mapping Cardiac Electrophysiology

    Jonathan Viventi;Dae Hyeong Kim;Joshua D. Moss;Yun Soung Kim

  • Adaptive method and apparatus for forecasting and controlling neurological disturbances under a multi-level control

    Rosana Esteller;Javier Ramón Echauz;Brian Litt;George John Vachtsevanos

  • One-Class Novelty Detection for Seizure Analysis from Intracranial EEG

    Andrew B. Gardner;Abba M. Krieger;George Vachtsevanos;Brian Litt

  • Microseizures and the spatiotemporal scales of human partial epilepsy

    Matt Stead;Mark Bower;Benjamin H. Brinkmann;Kendall Lee

  • Temporal lobe epilepsy after experimental prolonged febrile seizures: prospective analysis.

    Céline Dubé;Cristina Richichi;Roland A. Bender;Grace Chung

  • Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients

    M. D'Alessandro;R. Esteller;G. Vachtsevanos;A. Hinson

  • Nonconvulsive status epilepticus in the critically ill elderly.

    Brian Litt;Robert J. Wityk;Sharon H. Hertz;Paul D. Mullen

  • Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings.

    Andrew B. Gardner;Greg A. Worrell;Eric Marsh;Dennis Dlugos

  • Technology insight: neuroengineering and epilepsy-designing devices for seizure control.

    William C Stacey;Brian Litt

Frequent Co-Authors

Kathryn A. Davis
Kathryn A. Davis University of Pennsylvania
Timothy H. Lucas
Timothy H. Lucas University of Pennsylvania
Danielle S. Bassett
Danielle S. Bassett University of Pennsylvania
Dae-Hyeong Kim
Dae-Hyeong Kim Seoul National University
Gordon H. Baltuch
Gordon H. Baltuch University of Pennsylvania
John A. Rogers
John A. Rogers Northwestern University
George Vachtsevanos
George Vachtsevanos Georgia Institute of Technology
Joel M. Stein
Joel M. Stein University of Pennsylvania

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