World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
8127
World Ranking
11041
National Ranking
696

Guillaume Flandin 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 Guillaume Flandin 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Guillaume Flandin 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 Guillaume Flandin 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Guillaume Flandin is affiliated with University College London in the United Kingdom. Their research primarily spans the fields of Medicine and Mathematics, with a significant focus on Modeling and Simulation, Epidemiology, and Infectious Diseases.

Their work has extensively covered topics related to COVID-19 epidemiological studies, Influenza virus research, and SARS-CoV-2 and COVID-19 research. Additional areas of study include Functional Brain Connectivity, Vaccine Coverage and Hesitancy, and advanced neuroimaging techniques.

Flandin's recent papers include the following:

  • Dynamic causal modelling of COVID-19, 2020, published in DOAJ (DOAJ: Directory of Open Access Journals)
  • Second waves, social distancing, and the spread of COVID-19 across America, 2020, published in Wellcome Open Research
  • Brainhack: Developing a culture of open, inclusive, community-driven neuroscience, 2021, published in Neuron
  • Neurodesk: an accessible, flexible and portable data analysis environment for reproducible neuroimaging, 2024, published in Nature Methods
  • Second waves, social distancing, and the spread of COVID-19 across the USA, 2021, published in Wellcome Open Research

Frequent coauthors collaborating with Flandin include:

  • Karl Friston
  • Adeel Razi
  • Thomas Parr
  • Peter Zeidman
  • Vladimir Litvak

The researcher has contributed to several publication venues multiple times. These include:

  • Wellcome Open Research
  • Scientific Data
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Open Source Software

Best Publications

  • 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

  • Multiple sparse priors for the M/EEG inverse problem

    Karl J. Friston;Lee M. Harrison;Jean Daunizeau;Stefan J. Kiebel

  • EEG and MEG data analysis in SPM8.

    Vladimir Litvak;Jérémie Mattout;Stefan J. Kiebel;Christophe Phillips

  • Topological FDR for neuroimaging.

    Justin R. Chumbley;Keith J. Worsley;Guillaume Flandin;Karl J. Friston

  • EEG-BIDS, an extension to the brain imaging data structure for electroencephalography.

    Cyril R. Pernet;Stefan Appelhoff;Krzysztof J. Gorgolewski;Guillaume Flandin

  • BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

    Krzysztof J. Gorgolewski;Fidel Alfaro-Almagro;Tibor Auer;Pierre Bellec

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

    Bertrand Thirion;Guillaume Flandin;Philippe Pinel;Alexis Roche

  • Resting state functional MRI in Parkinson's disease: the impact of deep brain stimulation on 'effective' connectivity.

    Joshua Kahan;Maren Urner;Rosalyn J Moran;Rosalyn J Moran;Guillaume Flandin

  • Modelling event-related skin conductance responses

    Dominik R. Bach;Guillaume Flandin;Karl J. Friston;Raymond J. Dolan

  • Analysis of family-wise error rates in statistical parametric mapping using random field theory.

    Guillaume Flandin;Karl J. Friston

  • Time-series analysis for rapid event-related skin conductance responses.

    Dominik R. Bach;Guillaume Flandin;Karl J. Friston;Raymond J. Dolan

  • Evaluation of 2D multiband EPI imaging for high-resolution, whole-brain, task-based fMRI studies at 3T: Sensitivity and slice leakage artifacts

    Nick Todd;Steen Moeller;Edward J. Auerbach;Essa Yacoub

  • Retinotopic organization of visual mental images as revealed by functional magnetic resonance imaging.

    Isabelle Klein;Jessica Dubois;Jean-François Mangin;Ferath Kherif

  • Automatized clustering and functional geometry of human parietofrontal networks for language, space, and number

    Olivier Simon;Ferath Kherif;Guillaume Flandin;Jean-Baptiste Poline

  • Statistical parametric mapping (SPM)

    Guillaume Flandin;Karl J. Friston

  • MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

    Guiomar Niso;Guiomar Niso;Krzysztof J Gorgolewski;Elizabeth Bock;Teon L Brooks

  • Bayesian fMRI data analysis with sparse spatial basis function priors

    Guillaume Flandin;William D. Penny

  • A Parametric Empirical Bayesian framework for fMRI-constrained MEG/EEG source reconstruction

    Richard N. Henson;Guillaume Flandin;Karl J. Friston;Jérémie Mattout

  • Group analysis in functional neuroimaging: selecting subjects using similarity measures.

    Ferath Kherif;Jean-Baptiste Poline;Sébastien Mériaux;Habib Benali

  • Functional connectivity: studying nonlinear, delayed interactions between BOLD signals.

    Pierre-Jean Lahaye;Jean-Baptiste Poline;Guillaume Flandin;Silke Dodel

  • Functional optical signal analysis: a software tool for near-infrared spectroscopy data processing incorporating statistical parametric mapping

    Peck H. Koh;Daniel E. Glaser;Guillaume Flandin;Stefan Kiebel

  • Bayesian comparison of spatially regularised general linear models

    Will Penny;Guillaume Flandin;Nelson Trujillo-Barreto

  • Rewarding feedback after correct visual discriminations has both general and specific influences on visual cortex.

    Rimona Sharon Weil;Rimona Sharon Weil;Nicholas Furl;Christian C Ruff;Christian C Ruff;Christian C Ruff;Mkael Symmonds

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Krzysztof J. Gorgolewski
Krzysztof J. Gorgolewski Stanford University
Adeel Razi
Adeel Razi Monash University
Jean Daunizeau
Jean Daunizeau Grenoble Alpes University
Vladimir Litvak
Vladimir Litvak University College London
Jessica A. Turner
Jessica A. Turner The Ohio State University
Tristan Glatard
Tristan Glatard Concordia University

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