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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
93567
World Ranking
3710
National Ranking
68

Bertrand Thirion 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 Bertrand Thirion 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: 307 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Bertrand Thirion 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 Bertrand Thirion 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: 57 D-Index — 74th percentile

74% 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

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Bertrand Thirion is affiliated with the University of Paris-Saclay in France. Their research primarily spans the fields of Neuroscience and Medicine, with significant contributions to the subfields of Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Statistics and Probability, and Molecular Biology.

The scientist's work covers several main topics, including Functional Brain Connectivity Studies, Neural dynamics and brain function, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Statistical Methods and Inference, EEG and Brain-Computer Interfaces, and Blind Source Separation Techniques.

Bertrand Thirion has published extensively in diverse academic venues. Notable publication sources include:

  • arXiv (Cornell University)
  • NeuroImage
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Scientific Reports

Frequent collaborators in their research include Gaël Varoquaux, Alexandre Gramfort, Demián Wassermann, Hao-Ting Wang, and Christopher J. Markiewicz.

Selected recent papers reflecting Bertrand Thirion's contributions to the field are:

  • Inference and Prediction Diverge in Biomedicine, 2020, Patterns
  • Functional annotation of human cognitive states using deep graph convolution, 2021, NeuroImage
  • nipy/nibabel: 3.2.1, 2020, Zenodo (CERN European Organization for Nuclear Research)
  • How to remove or control confounds in predictive models, with applications to brain biomarkers, 2022, GigaScience
  • Population modeling with machine learning can enhance measures of mental health, 2021, GigaScience

Best Publications

  • Scikit-learn: Machine Learning in Python

    Fabian Pedregosa;Gaël Varoquaux;Alexandre Gramfort;Vincent Michel

  • Machine learning for neuroimaging with scikit-learn.

    Alexandre Abraham;Alexandre Abraham;Fabian Pedregosa;Fabian Pedregosa;Michael Eickenberg;Michael Eickenberg;Philippe Gervais;Philippe Gervais

  • 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

  • Assessing and tuning brain decoders: cross-validation, caveats, and guidelines

    Gaël Varoquaux;Pradeep Reddy Raamana;Denis A. Engemann;Andrés Hoyos-Idrobo

  • Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example

    Alexandre Abraham;Michael P. Milham;Adriana Di Martino;R. Cameron Craddock

  • 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

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

    Bertrand Thirion;Philippe Pinel;Sébastien Mériaux;Alexis Roche

  • Scikit-learn: Machine Learning in Python

    Fabian Pedregosa;Gaël Varoquaux;Alexandre Gramfort;Vincent Michel

  • Recruitment of an Area Involved in Eye Movements During Mental Arithmetic

    André Knops;André Knops;André Knops;Bertrand Thirion;Bertrand Thirion;Edward M. Hubbard;Edward M. Hubbard;Edward M. Hubbard;Vincent Michel;Vincent Michel;Vincent Michel

  • Inverse retinotopy: inferring the visual content of images from brain activation patterns.

    Bertrand Thirion;Edouard Duchesnay;Edward M. Hubbard;Jessica Dubois

  • Which fMRI clustering gives good brain parcellations

    Bertrand Thirion;Gaël Varoquaux;Elvis Dohmatob;Jean-Baptiste Poline;Jean-Baptiste Poline

  • Seeing it all: Convolutional network layers map the function of the human visual system

    Michael Eickenberg;Michael Eickenberg;Michael Eickenberg;Alexandre Gramfort;Gaël Varoquaux;Bertrand Thirion;Bertrand Thirion

  • Benchmarking functional connectome-based predictive models for resting-state fMRI.

    Kamalaker Dadi;Mehdi Rahim;Alexandre Abraham;Darya Chyzhyk

  • Brain covariance selection: better individual functional connectivity models using population prior

    Gael Varoquaux;Alexandre Gramfort;Jean-baptiste Poline;Bertrand Thirion

  • Connectivity-based parcellation: Critique and implications

    Simon B. Eickhoff;Simon B. Eickhoff;Bertrand Thirion;Gaël Varoquaux;Danilo Bzdok

  • Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling

    Gaël Varoquaux;Flore Baronnet;Andreas Kleinschmidt;Pierre Fillard

  • Deciphering cortical number coding from human brain activity patterns.

    Evelyn Eger;Evelyn Eger;Evelyn Eger;Vincent Michel;Vincent Michel;Vincent Michel;Bertrand Thirion;Bertrand Thirion;Alexi S. Amadon

  • Dealing with the shortcomings of spatial normalization: multi-subject parcellation of fMRI datasets.

    Bertrand Thirion;Guillaume Flandin;Philippe Pinel;Alexis Roche

  • Machine Learning for Neuroimaging with Scikit-Learn

    Alexandre Abraham;Fabian Pedregosa;Michael Eickenberg;Philippe Gervais

  • Multi-subject dictionary learning to segment an atlas of brain spontaneous activity

    Gael Varoquaux;Alexandre Gramfort;Fabian Pedregosa;Vincent Michel

  • Which fMRI clustering gives good brain parcellations

    Bertrand Thirion;Gael Varoquaux;Elvis Dohmatob;Jean-Baptiste Poline

Frequent Co-Authors

Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Danilo Bzdok
Danilo Bzdok Montreal Neurological Institute and Hospital
Stanislas Dehaene
Stanislas Dehaene Collège de France
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Russell A. Poldrack
Russell A. Poldrack Stanford University
Philippe Ciuciu
Philippe Ciuciu French Institute for Research in Computer Science and Automation - INRIA
Julien Mairal
Julien Mairal French Institute for Research in Computer Science and Automation - INRIA
Tomáš Paus
Tomáš Paus University of Toronto

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