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D-Index & Metrics

Computer Science

D-Index
33
Citations
11106
World Ranking
12373
National Ranking
312

Michel Dojat 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 Michel Dojat 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: 205 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

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

Michel Dojat 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 Michel Dojat 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

Michel Dojat is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research spans the fields of medicine and computer science, focusing particularly on medical imaging and artificial intelligence applications.

Their main areas of study include:

  • Medicine
  • Computer Science

Within these fields, Dojat's work concentrates on several subfields:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Neurology
  • Computer Vision and Pattern Recognition
  • Cognitive Neuroscience

Core research topics associated with their publications feature:

  • Medical Image Segmentation Techniques
  • Anomaly Detection Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Parkinson's Disease Mechanisms and Treatments
  • Advanced Neuroimaging Techniques and Applications
  • Neurological disorders and treatments
  • Cell Image Analysis Techniques

Michel Dojat has contributed to numerous scientific papers, some of the most recent being:

  • "Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis," 2024, published in Artificial Intelligence in Medicine
  • "Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset," 2021, published in NeuroImage
  • "ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization," 2023, published in Medical Image Analysis
  • "Visual Dysfunction of the Superior Colliculus in De Novo Parkinsonian Patients," 2020, published in Annals of Neurology
  • "A Multicenter Preclinical MRI Study: Definition of Rat Brain Relaxometry Reference Maps," 2020, published in Frontiers in Neuroinformatics

Their collaborations include frequent co-authorship with:

  • Florence Forbes
  • Benjamin Lambert
  • Senan Doyle
  • Olivier Commowick
  • Frédéric Cervenansky

Michel Dojat has published in a variety of venues, including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Frontiers in Neuroinformatics

They have also contributed to book publications, including the following title published by Frontiers Media:

  • Automatic methods for multiple sclerosis new lesions detection and segmentation, 2023

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • A multicenter randomized trial of computer-driven protocolized weaning from mechanical ventilation

    Francçois Lellouche;Jordi Mancebo;Philippe Jolliet;Jean Roeseler

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

    Olivier Commowick;Audrey Istace;Michaël Kain;Baptiste Laurent

  • fMRI retinotopic mapping--step by step.

    Jan Warnking;Michel Dojat;Anne Guérin-Dugué;Chantal Delon-Martin

  • Clinical Evaluation of a Computer-controlled Pressure Support Mode

    Michel Dojat;Alain Harf;Dominique Touchard;François Lemaire

  • Evaluation of a knowledge-based system providing ventilatory management and decision for extubation.

    Michel Dojat;Alain Harf;Dominique Touchard;Martine Laforest

  • Sequence of pattern onset responses in the human visual areas: an fMRI constrained VEP source analysis.

    S. Vanni;Jan Warnking;Michel Dojat;Chantal Delon-Martin

  • A knowledge-based system for assisted ventilation of patients in intensive care units.

    Michel Dojat;Laurence Brochard;François Lemaire;Alain Harf

  • Moving Illusory Contours Activate Primary Visual Cortex: an fMRI Study

    Mohamed Seghier;Michel Dojat;Chantal Delon-Martin;Christophe Rubin

  • NéoGanesh: a working system for the automated control of assisted ventilation in ICUs

    Michel Dojat;François Pachet;Zahia Guessoum;Dominique Touchard

  • A UMLS-based Knowledge Acquisition Tool for Rule-based Clinical Decision Support System Development

    Soumeya L. Achour;Michel Dojat;Claire Rieux;Philippe Bierling

  • Quantifying the watercolor effect: from stimulus properties to neural models

    Frédéric Devinck;Peggy Gerardin;Peggy Gerardin;Michel Dojat;Michel Dojat;Kenneth Knoblauch;Kenneth Knoblauch

  • The Neural Bases of Grapheme–Color Synesthesia Are Not Localized in Real Color-Sensitive Areas

    Jean-Michel Hupé;Cécile Bordier;Michel Dojat

  • Multimodal MRI segmentation of ischemic stroke lesions

    Y. Kabir;M. Dojat;B. Scherrer;C. Garbay

  • Computer-driven management of prolonged mechanical ventilation and weaning: a pilot study

    Lila Bouadma;François Lellouche;Belen Cabello;Solenne Taillé

  • Automated segmentation of human brain MR images using a multi-agent approach

    Nathalie Richard;Michel Dojat;Catherine Garbay

  • Towards an ontology for sharing medical images and regions of interest in neuroimaging

    Lynda Temal;Michel Dojat;Gilles Kassel;Bernard Gibaud

  • Distributed Local MRF Models for Tissue and Structure Brain Segmentation

    B. Scherrer;F. Forbes;C. Garbay;M. Dojat

  • Fast Joint Detection-Estimation of Evoked Brain Activity in Event-Related fMRI Using a Variational Approach

    L. Chaari;T. Vincent;F. Forbes;M. Dojat

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

    Olivier Commowick;Michaël Kain;Romain Casey;Roxana Ameli

  • A cooperative framework for segmentation of MRI brain scans.

    Laurence Germond;Michel Dojat;Christopher J. Taylor;Catherine Garbay

  • MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation challenge using a data management and processing infrastructure

    Olivier Commowick;Frédéric Cervenansky;François Cotton;Michel Dojat

Frequent Co-Authors

Kenneth Knoblauch
Kenneth Knoblauch Claude Bernard University Lyon 1
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires
Philippe Ciuciu
Philippe Ciuciu French Institute for Research in Computer Science and Automation - INRIA
Laurent Brochard
Laurent Brochard St. Michael's Hospital
Jean Bullier
Jean Bullier Grenoble Alpes University
Alain Harf
Alain Harf Grenoble Alpes University
Olivier Commowick
Olivier Commowick French Institute for Research in Computer Science and Automation - INRIA
François Pachet
François Pachet Sorbonne University
Mélanie Pélégrini-Issac
Mélanie Pélégrini-Issac Sorbonne University
Johan Montagnat
Johan Montagnat Centre national de la recherche scientifique, CNRS

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