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Computer Science
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2026
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USA
2026

D-Index & Metrics

Neuroscience

D-Index
160
Citations
113700
World Ranking
112
National Ranking
73

Computer Science

D-Index
141
Citations
83528
World Ranking
61
National Ranking
35

Vince D. Calhoun 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 Vince D. Calhoun 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: 1,125 publications — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Vince D. Calhoun 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 Vince D. Calhoun 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: 141 D-Index — 100th percentile

100% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2026 - Research.com Neuroscience in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Neuroscience in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2013 - IEEE Fellow For contributions to data-driven processing of multimodal brain imaging and genetic data
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Vince D. Calhoun is affiliated with Georgia State University in the United States. Their research primarily spans the fields of Neuroscience and Medicine, with a strong focus on Cognitive Neuroscience and Radiology, Nuclear Medicine, and Imaging. Other subfields include Experimental and Cognitive Psychology, Psychiatry and Mental Health, and Molecular Biology.

The scientist's work covers a range of topics related to brain function and imaging techniques. Key research areas include:

  • Functional Brain Connectivity Studies
  • Neural dynamics and brain function
  • Advanced Neuroimaging Techniques and Applications
  • EEG and Brain-Computer Interfaces
  • Mental Health Research Topics
  • Advanced MRI Techniques and Applications
  • Health, Environment, Cognitive Aging

Vince D. Calhoun has contributed extensively to publications in several leading venues. The most frequent publication venues are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Human Brain Mapping
  • NeuroImage
  • Journal of Neuroscience Methods
  • Biological Psychiatry

Among their recent papers are:

  • Brain charts for the human lifespan, 2022, published in Nature
  • NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders, 2020, published in NeuroImage Clinical
  • Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises, 2020, published in Biological Psychiatry
  • Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years, 2021, published in Human Brain Mapping
  • Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA, 2020, published in NeuroImage

Frequent co-authors who have collaborated with Vince D. Calhoun include:

  • Zening Fu
  • Yu-Ping Wang
  • Jessica A. Turner
  • Jing Sui
  • Julia M. Stephen

The scientist has received several honors, including:

  • Fellow of the Indian National Academy of Engineering (INAE), 2014
  • IEEE Fellow, 2013, for contributions to data-driven processing of multimodal brain imaging and genetic data
  • Fellow of the American Association for the Advancement of Science (AAAS), 2012

Best Publications

  • A method for making group inferences from functional MRI data using independent component analysis

    V.D. Calhoun;T. Adali;G.D. Pearlson;J.J. Pekar;J.J. Pekar

  • Tracking Whole-Brain Connectivity Dynamics in the Resting State

    Elena A. Allen;Eswar Damaraju;Sergey M. Plis;Erik B. Erhardt

  • Dynamic functional connectivity: Promise, issues, and interpretations

    R. Matthew Hutchison;Thilo Womelsdorf;Elena A. Allen;Elena A. Allen;Peter A. Bandettini

  • Brain charts for the human lifespan

    Unknown

  • The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.

    Krzysztof J. Gorgolewski;Tibor Auer;Vince D. Calhoun;R. Cameron Craddock

  • The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

    Vince D. Calhoun;Vince D. Calhoun;Robyn Miller;Godfrey Pearlson;Tulay Adalı

  • A Baseline for the Multivariate Comparison of Resting-State Networks

    Elena A. Allen;Erik B. Erhardt;Eswar Damaraju;William Gruner;William Gruner

  • Aberrant "default mode" functional connectivity in schizophrenia.

    Abigail G. Garrity;Godfrey D. Pearlson;Kristen McKiernan;Dan Lloyd

  • A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.

    Vince D. Calhoun;Jingyu Liu;Jingyu Liu;Tülay Adalı

  • Selective changes of resting-state networks in individuals at risk for Alzheimer's disease

    Christian Sorg;Valentin Riedl;Valentin Riedl;Mark Mühlau;Vince D. Calhoun

  • Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

    T. G M van Erp;D. P. Hibar;J. M. Rasmussen;D. C. Glahn

  • Dynamic functional connectivity analysis reveals transient states of dysconnectivity in schizophrenia

    E. Damaraju;E.A. Allen;E.A. Allen;A. Belger;J.M. Ford;J.M. Ford

  • Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium

    Unknown

  • A method for functional network connectivity among spatially independent resting-state components in schizophrenia.

    Madiha J. Jafri;Godfrey D. Pearlson;Michael C. Stevens;Vince D. Calhoun

  • Estimating the number of independent components for functional magnetic resonance imaging data.

    Yi Ou Li;Tülay Adali;Vince D. Calhoun

  • Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

    Mohammad R. Arbabshirani;Sergey M. Plis;Jing Sui;Vince D. Calhoun

  • Common genetic variants influence human subcortical brain structures.

    Derrek P. Hibar;Jason L. Stein;Jason L. Stein;Miguel E. Renteria;Alejandro Arias-Vasquez

  • Alterations in Memory Networks in Mild Cognitive Impairment and Alzheimer's Disease: An Independent Component Analysis

    Kim A. Celone;Vince D. Calhoun;Bradford C. Dickerson;Alireza Atri

  • The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry.

    Kate Brody Nooner;Kate Brody Nooner;Stanley J. Colcombe;Russell H. Tobe;Maarten Mennes;Maarten Mennes

  • Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms.

    V.D. Calhoun;T. Adali;G.D. Pearlson;J.J. Pekar;J.J. Pekar

  • The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

    Paul M. Thompson;Jason L. Stein;Sarah E. Medland;Derrek P. Hibar

  • Erratum: Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium (Molecular Psychiatry (2015) DOI:10.1038/mp.2015.63)

    T. G.M. Van Erp;D. P. Hibar;J. M. Rasmussen;D. C. Glahn

  • Supplementary Material to: Tracking Whole-Brain Connectivity Dynamics in the Resting State.

    Elena A. Allen;Eswar Damaraju;Sergey M. Plis;Erik B. Erhardt

Frequent Co-Authors

Godfrey D. Pearlson
Godfrey D. Pearlson Yale University
Jessica A. Turner
Jessica A. Turner The Ohio State University
Tulay Adali
Tulay Adali University of Maryland, Baltimore County
Jing Sui
Jing Sui Beijing Normal University
Kent A. Kiehl
Kent A. Kiehl University of New Mexico
Daniel H. Mathalon
Daniel H. Mathalon University of California, San Francisco
Juan R. Bustillo
Juan R. Bustillo University of New Mexico
Steven G. Potkin
Steven G. Potkin University of California, Irvine
Andrew R. Mayer
Andrew R. Mayer Mind Research Network
Theo G.M. van Erp
Theo G.M. van Erp University of California, Irvine

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