World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
97
Citations
60792
World Ranking
815
National Ranking
41

Jean-Baptiste Poline 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 Jean-Baptiste Poline 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: 401 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Jean-Baptiste Poline 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 Jean-Baptiste Poline 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: 97 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

Jean-Baptiste Poline is affiliated with the Montreal Neurological Institute and Hospital in Canada. Their research primarily focuses on the field of Medicine, with extensive work in subfields including Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Information Systems and Management, and Information Systems.

The scientist's work covers a range of main topics such as Functional Brain Connectivity Studies, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Scientific Computing and Data Management, Research Data Management Practices, Health, Environment, Cognitive Aging, and Cell Image Analysis Techniques.

Jean-Baptiste Poline has contributed to several recent papers, including:

  • DataLad: distributed system for joint management of code, data, and their relationship (2021) published in The Journal of Open Source Software
  • Open science datasets from PREVENT-AD, a longitudinal cohort of pre-symptomatic Alzheimer's disease (2021) published in NeuroImage Clinical
  • Micapipe: A pipeline for multimodal neuroimaging and connectome analysis (2022) published in NeuroImage
  • Preventing dataset shift from breaking machine-learning biomarkers (2021) published in GigaScience
  • The IMAGEN study: a decade of imaging genetics in adolescents (2020) published in Molecular Psychiatry

The frequent co-authors who have collaborated with Jean-Baptiste Poline include:

  • Yaroslav O. Halchenko
  • Tristan Glatard
  • Christopher J. Markiewicz
  • Michael Hanke
  • Nikhil Bhagwat

Poline's publications appear regularly in venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), GigaScience, and Aperture Neuro.

In addition to journal articles, Jean-Baptiste Poline has contributed to book publications under the European Organization for Nuclear Research. Notably, multiple editions of "The DataLad Handbook" were published between 2020 and 2023.

Best Publications

  • Statistical parametric maps in functional imaging: A general linear approach

    K. J. Friston;A. P. Holmes;K. J. Worsley;J.-P. Poline

  • Spatial registration and normalization of images

    Karl. J. Friston;J. Ashburner;C. D. Frith;J.-B. Poline

  • Analysis of fMRI Time-Series Revisited

    Karl J. Friston;A. P. Holmes;J. B. Poline;P. J. Grasby

  • Valid conjunction inference with the minimum statistic.

    Thomas E. Nichols;Matthew Brett;Jesper L. R. Andersson;Tor D. Wager

  • 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

  • Cerebral mechanisms of word masking and unconscious repetition priming.

    Stanislas Dehaene;Lionel Naccache;Laurent Cohen;Denis Le Bihan

  • Scanning the horizon: towards transparent and reproducible neuroimaging research

    Russell A. Poldrack;Chris I. Baker;Joke Durnez;Krzysztof J. Gorgolewski

  • Detecting Activations in PET and fMRI: Levels of Inference and Power

    K J Friston;A Holmes;J B Poline;C J Price

  • Partially Overlapping Neural Networks for Real and Imagined Hand Movements

    Emmanuel Gerardin;Angela Sirigu;Stéphane Lehéricy;Jean-Baptiste Poline

  • Variability in the analysis of a single neuroimaging dataset by many teams

    Rotem Botvinik-Nezer;Rotem Botvinik-Nezer;Felix Holzmeister;Colin F. Camerer;Anna Dreber;Anna Dreber

  • The visual word form area: a prelexical representation of visual words in the fusiform gyrus.

    Stanislas Dehaene;Gurvan Le Clec'H;Jean-Baptiste Poline;Denis Le Bihan

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

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

  • Combining Spatial Extent and Peak Intensity to Test for Activations in Functional Imaging

    Poline Jb;Worsley Kj;Evans Ac;Friston Kj

  • The IMAGEN study: reinforcement-related behaviour in normal brain function and psychopathology.

    G Schumann;E Loth;T Banaschewski;A Barbot

  • Identification of common variants associated with human hippocampal and intracranial volumes

    Jason L Stein;Sarah E Medland;Sarah E Medland;Alejandro Arias Vasquez;Alejandro Arias Vasquez;Derrek P Hibar

  • Correlated gene expression supports synchronous activity in brain networks

    Jonas Richiardi;Jonas Richiardi;Andre Altmann;Anna-Clare Milazzo;Anna-Clare Milazzo;Catie Chang

  • Evidence for abnormal cortical functional connectivity during working memory in schizophrenia.

    Andreas Meyer-Lindenberg;Jean-Baptiste Poline;Philip D. Kohn;John L. Holt

  • A voxel-based method for the statistical analysis of gray and white matter density applied to schizophrenia

    I.C. Wright;P.K. McGuire;J.-B. Poline;J.M. Travere

  • Best practices in data analysis and sharing in neuroimaging using MRI.

    Thomas E Nichols;Samir Das;Samir Das;Simon B Eickhoff;Simon B Eickhoff;Alan C Evans;Alan C Evans

  • NeuroVault.org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain

    Krzysztof J. Gorgolewski;Krzysztof J. Gorgolewski;Gael Varoquaux;Gabriel Rivera;Yannick Schwarz

  • Analysis of a large fMRI cohort: Statistical and methodological issues for group analyses.

    Bertrand Thirion;Philippe Pinel;Sébastien Mériaux;Alexis Roche

Frequent Co-Authors

Bertrand Thirion
Bertrand Thirion University of Paris-Saclay
Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA
Tomáš Paus
Tomáš Paus University of Toronto
Patricia J. Conrod
Patricia J. Conrod University of Montreal
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Gunter Schumann
Gunter Schumann King's College London
Vincent Frouin
Vincent Frouin University of Paris-Saclay
Hugh Garavan
Hugh Garavan University of Vermont
Herta Flor
Herta Flor Heidelberg University

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