World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
34645
World Ranking
1058
National Ranking
566

Richard M. Leahy publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Richard M. Leahy sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 408 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Richard M. Leahy D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Richard M. Leahy sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 80 D-Index — 93rd percentile

93% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Richard M. Leahy is affiliated with the University of Southern California in the United States. Their research spans multiple fields, notably Medicine and Neuroscience, with a strong focus on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Psychiatry and Mental Health, and Pediatrics, Perinatology and Child Health.

The scientist's work covers several main topics, including:

  • Functional Brain Connectivity Studies
  • Advanced MRI Techniques and Applications
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Neural Dynamics and Brain Function
  • Epilepsy Research and Treatment
  • Neonatal and Fetal Brain Pathology

Frequent co-authors collaborating with Richard M. Leahy include Anand A. Joshi, Haleh Akrami, Takfarinas Medani, Jian Li, and Soyoung Choi.

The venues in which they frequently publish are varied and include:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 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
  • NeuroImage
  • Journal of Neuroscience Methods

Recent papers by Richard M. Leahy illustrate a broad range of neuroimaging and electrophysiological research:

  • Age differences in the functional architecture of the human brain, 2022, Cerebral Cortex
  • A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI, 2022, Journal of Neuroscience Methods
  • Electrophysiological scarring in remitted depressed patients: Elevated EEG functional connectivity between the posterior cingulate cortex and the subgenual prefrontal cortex as a neural marker for rumination, 2020, Journal of Affective Disorders
  • A robust variational autoencoder using beta divergence, 2021, Knowledge-Based Systems
  • Reduced subgenual cingulate-dorsolateral prefrontal connectivity as an electrophysiological marker for depression, 2022, Scientific Reports

Richard M. Leahy has contributed to book publications with Springer Science+Business Media. Titles include:

  • Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops (2023)
  • Multiscale Multimodal Medical Imaging (2022)
  • Multimodal Learning for Clinical Decision Support (2021)

Best Publications

  • Brainstorm: a user-friendly application for MEG/EEG analysis

    François Tadel;Sylvain Baillet;John C. Mosher;Dimitrios Pantazis

  • Electromagnetic brain mapping

    S. Baillet;J.C. Mosher;R.M. Leahy

  • An optimal graph theoretic approach to data clustering: theory and its application to image segmentation

    Z. Wu;R. Leahy

  • Multiple dipole modeling and localization from spatio-temporal MEG data

    J.C. Mosher;P.S. Lewis;R.M. Leahy

  • Magnetic resonance image tissue classification using a partial volume model.

    David W. Shattuck;Stephanie R. Sandor-Leahy;Kirt A. Schaper;David A. Rottenberg;David A. Rottenberg

  • EEG and MEG: forward solutions for inverse methods

    J.C. Mosher;R.M. Leahy;P.S. Lewis

  • BrainSuite: An automated cortical surface identification tool

    David W Shattuck;Richard M Leahy

  • A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors

    T. Hebert;R. Leahy

  • High-resolution 3D Bayesian image reconstruction using the microPET small-animal scanner

    Jinyi Qi;Richard M Leahy;Simon R Cherry;Arion Chatziioannou

  • A sensor-weighted overlapping-sphere head model and exhaustive head model comparison for MEG.

    M X Huang;J C Mosher;R M Leahy

  • Digimouse: a 3D whole body mouse atlas from CT and cryosection data

    Belma Dogdas;David Stout;Arion F Chatziioannou;Richard M Leahy

  • A Study of Dipole Localization Accuracy for MEG and EEG using a Human Skull Phantom

    R.M. Leahy;J.C. Mosher;M.E. Spencer;M.X. Huang

  • Iterative reconstruction techniques in emission computed tomography.

    Jinyi Qi;Richard M Leahy

  • Source localization using recursively applied and projected (RAP) MUSIC

    J.C. Mosher;R.M. Leahy

  • Recursive MUSIC: A framework for EEG and MEG source localization

    J.C. Mosher;R.M. Leahy

  • Resolution and noise properties of MAP reconstruction for fully 3-D PET

    Jinyi Qi;R.M. Leahy

  • A note on the phase locking value and its properties.

    Sergul Aydore;Dimitrios Pantazis;Richard M. Leahy

  • Surface-based labeling of cortical anatomy using a deformable atlas

    S. Sandor;R. Leahy

  • Mapping human brain function with MEG and EEG: methods and validation

    F. Darvas;D. Pantazis;E. Kucukaltun-Yildirim;R.M. Leahy

  • Fast gradient-based methods for Bayesian reconstruction of transmission and emission PET images

    E.U. Mumcuoglu;R. Leahy;S.R. Cherry;Zhenyu Zhou

  • Hyperspectral and multispectral bioluminescence optical tomography for small animal imaging

    Abhijit J Chaudhari;Felix Darvas;James R Bading;Rex A Moats

Frequent Co-Authors

John C. Mosher
John C. Mosher Cleveland Clinic
Quanzheng Li
Quanzheng Li Harvard University
Sylvain Baillet
Sylvain Baillet McGill University
Simon R. Cherry
Simon R. Cherry University of California, Davis
Justin P. Haldar
Justin P. Haldar University of Southern California
Jinyi Qi
Jinyi Qi University of California, Davis
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Karim Jerbi
Karim Jerbi University of Montreal
Paul M. Thompson
Paul M. Thompson University of Southern California
Hanna Damasio
Hanna Damasio University of Southern California

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