World's Best Scientists 2026 revealed!
Tristan Glatard

Tristan Glatard

D-Index & Metrics

Computer Science

D-Index
33
Citations
7505
World Ranking
12431
National Ranking
479

Tristan Glatard 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 Tristan Glatard 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Tristan Glatard 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 Tristan Glatard 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Tristan Glatard is affiliated with Concordia University in Canada and specializes primarily in Computer Science. Their research encompasses several subfields including Cognitive Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, and Information Systems and Management.

Their work focuses on key topics that integrate advanced computational techniques with neuroimaging and data analysis. These topics include:

  • Functional Brain Connectivity Studies
  • Scientific Computing and Data Management
  • Advanced Neuroimaging Techniques and Applications
  • Data Stream Mining Techniques
  • Time Series Analysis and Forecasting
  • Cell Image Analysis Techniques
  • Advanced MRI Techniques and Applications

Glatard has contributed to multiple scientific publications in well-known venues, with frequent appearances in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • GigaScience
  • PLoS ONE
  • Zenodo (CERN European Organization for Nuclear Research)

Among Tristan Glatard's recent papers are:

  • Variability in the analysis of a single neuroimaging dataset by many teams, 2020, Nature
  • The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging, 2021, eLife
  • Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset, 2021, NeuroImage
  • Centering inclusivity in the design of online conferences-An OHBM-Open Science perspective, 2021, GigaScience
  • A Quantitative EEG Toolbox for the MNI Neuroinformatics Ecosystem: Normative SPM of EEG Source Spectra, 2020, Frontiers in Neuroinformatics

The list of frequent coauthors working with Glatard includes:

  • Gregory Kiar
  • Yohan Chatelain
  • Jean-Baptiste Poline
  • Alan C. Evans
  • Mathieu Dugré

Tristan Glatard has also contributed to books published by the European Organization for Nuclear Research, notably multiple editions of "The DataLad Handbook" between 2020 and 2023.

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

  • 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

  • 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

  • Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR

    Tristan Glatard;Johan Montagnat;Diane Lingrand;Xavier Pennec

  • Objective Evaluation of Multiple Sclerosis Lesion Segmentation using a Data Management and Processing Infrastructure

    Olivier Commowick;Audrey Istace;Michaël Kain;Baptiste Laurent

  • CBRAIN: a web-based, distributed computing platform for collaborative neuroimaging research

    Tarek Sherif;Pierre Rioux;Marc-Etienne Rousseau;Nicolas Kassis

  • Reproducibility of neuroimaging analyses across operating systems.

    Tristan Glatard;Tristan Glatard;Lindsay B. Lewis;Rafael Ferreira da Silva;Reza Adalat

  • The first MICCAI challenge on PET tumor segmentation.

    Mathieu Hatt;Baptiste Laurent;Anouar Ouahabi;Hadi Fayad

  • Texture based medical image indexing and retrieval: application to cardiac imaging

    Tristan Glatard;Johan Montagnat;Isabelle E. Magnin

  • A Virtual Imaging Platform for Multi-Modality Medical Image Simulation

    T. Glatard;C. Lartizien;B. Gibaud;Rafael Ferreira da Silva

  • A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors.

    Akbar Dehghani;Omid Sarbishei;Tristan Glatard;Emad Shihab

  • A data-driven workflow language for grids based on array programming principles

    Johan Montagnat;Benjamin Isnard;Tristan Glatard;Ketan Maheshwari

  • Best Practices in Data Analysis and Sharing in Neuroimaging using MRI

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

  • Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset

    Olivier Commowick;Michaël Kain;Romain Casey;Roxana Ameli

  • The BigBrainWarp toolbox for integration of BigBrain 3D histology with multimodal neuroimaging

    Casey Paquola;Casey Paquola;Jessica Royer;Lindsay B Lewis;Claude Lepage

  • A Virtual Laboratory for Medical Image Analysis

    Sílvia D Olabarriaga;Tristan Glatard;Piter T de Boer

  • Toward fine-grained online task characteristics estimation in scientific workflows

    Rafael Ferreira da Silva;Gideon Juve;Ewa Deelman;Tristan Glatard

  • Sharing brain mapping statistical results with the neuroimaging data model

    Camille Maumet;Tibor Auer;Alexander Bowring;Gang Chen

  • A Service-Oriented Architecture enabling dynamic service grouping for optimizing distributed workflow execution

    Tristan Glatard;Johan Montagnat;David Emsellem;Diane Lingrand

  • Dynamic Partitioning of GATE Monte-Carlo Simulations on EGEE

    Sorina Camarasu-Pop;Tristan Glatard;Jakub T. Mościcki;Hugues Benoit-Cattin

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

    R Botvinik-Nezer;F Holzmeister;CF Camerer;A Dreber

  • Sharing brain mapping statistical results with the neuroimaging data model

    Camille Maumet;Tibor Auer;Alexander Bowring;Gang Chen

Frequent Co-Authors

Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS
Alan C. Evans
Alan C. Evans McGill University
Thomas E. Nichols
Thomas E. Nichols University of Oxford
Jean-Baptiste Poline
Jean-Baptiste Poline Montreal Neurological Institute and Hospital
Krzysztof J. Gorgolewski
Krzysztof J. Gorgolewski Stanford University
Xavier Pennec
Xavier Pennec French Institute for Research in Computer Science and Automation - INRIA
Guillaume Flandin
Guillaume Flandin University College London
Gaël Varoquaux
Gaël Varoquaux French Institute for Research in Computer Science and Automation - INRIA
Russell A. Poldrack
Russell A. Poldrack Stanford University

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