World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
67
Citations
45155
World Ranking
2815
National Ranking
1305

Matthew F. Glasser 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 Matthew F. Glasser 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: 136 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Matthew F. Glasser 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 Matthew F. Glasser 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: 67 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Matthew F. Glasser is affiliated with Washington University in St. Louis in the United States. Their research spans primarily the fields of neuroscience and medicine, with a particular focus on cognitive neuroscience, radiology, nuclear medicine and imaging, as well as cellular and molecular neuroscience. Additional work includes contributions in electrical and electronic engineering and psychiatry and mental health.

The scientist's research output includes exploration of advanced neuroimaging techniques and applications, functional brain connectivity studies, as well as investigations into neural dynamics, brain function, and brain-computer interfaces. Their work also covers neuroscience and neural engineering, along with advanced memory and neural computing.

Frequent collaborators with Matthew F. Glasser include:

  • David C. Van Essen
  • Takuya Hayashi
  • Joonas A. Autio
  • Stephen M. Smith
  • Timothy S. Coalson

Publications have appeared in a variety of venues, with the most frequent being:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage
  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Cerebral Cortex

Among recent papers, the following stand out:

  • A high-performance speech neuroprosthesis, 2023, published in Nature
  • A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex, 2020, published in Cerebral Cortex
  • The Human Connectome Project: A retrospective, 2021, published in NeuroImage
  • An Accurate and Rapidly Calibrating Speech Neuroprosthesis, 2024, published in New England Journal of Medicine
  • The nonhuman primate neuroimaging and neuroanatomy project, 2021, published in NeuroImage

Matthew F. Glasser has also contributed to book publications, including a title published by World Bank, Washington, DC eBooks: Institutional Models for Governance of Urban Services in 2021.

Best Publications

  • The minimal preprocessing pipelines for the Human Connectome Project.

    Matthew F. Glasser;Stamatios N. Sotiropoulos;J. Anthony Wilson;Timothy S. Coalson

  • A multi-modal parcellation of human cerebral cortex

    Matthew F. Glasser;Timothy S. Coalson;Emma C. Robinson;Emma C. Robinson;Carl D. Hacker

  • The Human Connectome Project: A data acquisition perspective

    D. C. Van Essen;Kamil Ugurbil;Edward J Auerbach

  • Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.

    Gholamreza Salimi-Khorshidi;Gwenaëlle Douaud;Christian F. Beckmann;Matthew F. Glasser

  • Resting-state fMRI in the Human Connectome Project

    S M Smith;C F Beckmann;J Andersson;E J Auerbach

  • Function in the human connectome: Task-fMRI and individual differences in behavior

    M Deanna;Gregory C. Burgess;Michael P. Harms;Steven E. Petersen

  • Mapping human cortical areas in vivo based on myelin content as revealed by T1- and T2-weighted MRI

    Matthew F. Glasser;David C. Van Essen

  • Multiplexed echo planar imaging for sub-second whole brain fmri and fast diffusion imaging

    David A. Feinberg;David A. Feinberg;Steen Moeller;Stephen M. Smith;Edward J Auerbach

  • The Human Connectome Project's neuroimaging approach

    Matthew F Glasser;Stephen M Smith;Daniel S Marcus;Jesper L R Andersson

  • Functional connectomics from resting-state fMRI

    S.M. Smith;D. Vidaurre;Christian Beckmann;Christian Beckmann;Christian Beckmann;M.F. Glasser

  • Advances in diffusion MRI acquisition and processing in the Human Connectome Project.

    Stamatios N. Sotiropoulos;Saâd Jbabdi;Junqian Xu;Jesper L. R. Andersson

  • Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project

    Kamil Ugurbil;Junqian Xu;Edward J. Auerbach;Steen Moeller

  • The evolution of the arcuate fasciculus revealed with comparative DTI.

    James K Rilling;Matthew F Glasser;Todd M Preuss;Todd M Preuss;Xiangyang Ma

  • A positive-negative mode of population covariation links brain connectivity, demographics and behavior

    S M Smith;T E Nichols;D Vidaurre;A M Winkler

  • Temporally-independent functional modes of spontaneous brain activity

    Stephen M. Smith;Karla L. Miller;Steen Moeller;Junqian Xu

  • DTI Tractography of the Human Brain's Language Pathways

    Matthew F. Glasser;James K. Rilling

  • Informatics and data mining tools and strategies for the human connectome project.

    Daniel S. Marcus;John W. Harwell;Timothy R. Olsen;Michael R. Hodge

  • MSM: a new flexible framework for Multimodal Surface Matching.

    Emma C. Robinson;Saâd Jbabdi;Matthew F. Glasser;Jesper L. R. Andersson

  • Canonical Genetic Signatures of the Adult Human Brain

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

  • Parcellations and Hemispheric Asymmetries of Human Cerebral Cortex Analyzed on Surface-Based Atlases

    David C. Van Essen;Matthew F. Glasser;Donna L. Dierker;John Harwell

Frequent Co-Authors

David C. Van Essen
David C. Van Essen Washington University in St. Louis
Stephen M. Smith
Stephen M. Smith University of Oxford
Kamil Ugurbil
Kamil Ugurbil University of Minnesota
Stamatios N. Sotiropoulos
Stamatios N. Sotiropoulos University of Nottingham
Essa Yacoub
Essa Yacoub University of Minnesota
Mark Jenkinson
Mark Jenkinson University of Oxford
Christian F. Beckmann
Christian F. Beckmann Radboud University
Junqian Xu
Junqian Xu Icahn School of Medicine at Mount Sinai
Jesper L. R. Andersson
Jesper L. R. Andersson University of Oxford
David A. Feinberg
David A. Feinberg University of California, Berkeley

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