World's Best Scientists 2026 revealed!
Jérémie Mattout

Jérémie Mattout

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
8029
World Ranking
9325
National Ranking
224

Jérémie Mattout publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jérémie Mattout sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 125 publications — 17th percentile

17% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jérémie Mattout D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jérémie Mattout sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jérémie Mattout is affiliated with Grenoble Alpes University in France and specializes in neuroscience with a focus on cognitive neuroscience. Their research spans multiple subfields including cellular and molecular neuroscience, experimental and cognitive psychology, psychiatry and mental health, and artificial intelligence.

Their work frequently addresses topics such as EEG and brain-computer interfaces, neural dynamics and brain function, neuroscience and neural engineering, functional brain connectivity studies, neuroscience and music perception, hearing loss and rehabilitation, and sleep and wakefulness research.

Recent publications by Jérémie Mattout include:

  • Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference (2021), Neuroscience of Consciousness
  • Automatic analysis of single-channel sleep EEG in a large spectrum of sleep disorders (2020), Journal of Clinical Sleep Medicine
  • Diverse beta burst waveform motifs characterize movement-related cortical dynamics (2023), Progress in Neurobiology
  • Exploring scoring methods for research studies: Accuracy and variability of visual and automated sleep scoring (2020), Journal of Sleep Research
  • Towards Identifying Optimal Biased Feedback for Various User States and Traits in Motor Imagery BCI (2021), IEEE Transactions on Biomedical Engineering

Jérémie Mattout has collaborated extensively with several frequent coauthors. These include Emmanuel Maby (12 collaborative works), James Bonaiuto (9), Marco Congedo (9), Françoise Lecaignard (9), and Sotirios Papadopoulos (8).

The scientist's publications are commonly found in a variety of research venues. Notable among these are bioRxiv (Cold Spring Harbor Laboratory) with 11 publications, TUGraz OPEN Library (Graz University of Technology) with 4, arXiv (Cornell University) with 4, Neuroscience of Consciousness with 2, and NeuroImage with 2.

Best Publications

  • Variational free energy and the Laplace approximation

    Karl J. Friston;Jérémie Mattout;Nelson J. Trujillo-Barreto;John Ashburner

  • Action understanding and active inference

    Karl Friston;Jérémie Mattout;James Kilner

  • Dynamic causal modeling of evoked responses in EEG and MEG

    Olivier David;Stefan J. Kiebel;Lee M. Harrison;Jérémie Mattout

  • 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

  • Impaired pitch perception and memory in congenital amusia: the deficit starts in the auditory cortex

    Philippe Albouy;Jérémie Mattout;Romain Bouet;Emmanuel Maby

  • Hemodynamic correlates of EEG: A heuristic

    James M. Kilner;Jérémie Mattout;Richard N. Henson;Karl J. Friston

  • MEG source localization under multiple constraints: an extended Bayesian framework.

    Jérémie Mattout;Christophe Phillips;William D. Penny;Michael D. Rugg

  • An empirical Bayesian solution to the source reconstruction problem in EEG

    Christophe Phillips;Jeremie Mattout;Michael D. Rugg;Pierre Maquet

  • Canonical source reconstruction for MEG

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

  • Symmetrical event-related EEG/fMRI information fusion in a variational Bayesian framework

    Jean Daunizeau;Christophe Grova;Guillaume Marrelec;Jérémie Mattout

  • Disentangling motor execution from motor imagery with the phantom limb

    Estelle Raffin;Jérémie Mattout;Jérémie Mattout;Karen T. Reilly;Karen T. Reilly;Pascal Giraux

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

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

  • Selecting forward models for MEG source-reconstruction using model-evidence.

    Richard N. A. Henson;Jérémie Mattout;Christophe Phillips;Karl J. Friston

  • A robust sensor-selection method for P300 brain–computer interfaces

    Hubert Cecotti;Bertrand Rivet;Marco Congedo;Christian Jutten

  • Bayesian estimation of evoked and induced responses.

    Kark J. Friston;Richard Henson;Christophe Phillips;Jérémie Mattout

  • Inferring hand movement kinematics from MEG, EEG and intracranial EEG: From brain-machine interfaces to motor rehabilitation

    K. Jerbi;J.R. Vidal;J. Mattout;E. Maby

  • Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference

    Lars Sandved-Smith;Casper Hesp;Jérémie Mattout;Karl Friston

  • The epistemic and pragmatic value of non-action: a predictive coding perspective on meditation.

    Antoine Lutz;Jérémie Mattout;Giuseppe Pagnoni

  • Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models

    J. Daunizeau;J. Mattout;D. Clonda;B. Goulard

  • The impact of MEG source reconstruction method on source-space connectivity estimation: A comparison between minimum-norm solution and beamforming.

    Ana Sofía Hincapié;Jan Kujala;Jan Kujala;Jérémie Mattout;Annalisa Pascarella

  • Multivariate source prelocalization (MSP): use of functionally informed basis functions for better conditioning the MEG inverse problem.

    Jérémie Mattout;Mélanie Pélégrini-Issac;Line Garnero;Habib Benali

  • Assessing the relevance of fMRI-based prior in the EEG inverse problem: a bayesian model comparison approach

    J. Daunizeau;C. Grova;J. Mattout;G. Marrelec

  • MEG Connectivity and Power Detections with Minimum Norm Estimates Require Different Regularization Parameters

    Ana-Sofía Hincapié;Jan Kujala;Jérémie Mattout;Sebastien Daligault

  • Exploring scoring methods for research studies: Accuracy and variability of visual and automated sleep scoring.

    Christian Berthomier;Vincenzo Muto;Christina Schmidt;Gilles Vandewalle

  • Data-driven parceling and entropic inference in MEG.

    Ervig Lapalme;Jean-Marc Lina;Jean-Marc Lina;Jean-Marc Lina;Jérémie Mattout

  • Impact of Spatial Filters During Sensor Selection in a Visual P300 Brain-Computer Interface

    Bertrand Rivet;Hubert Cecotti;Emmanuel Maby;Emmanuel Maby;Jeremie Mattout;Jeremie Mattout

  • EEG sensor selection by sparse spatial filtering in P300 speller brain-computer interface

    Bertrand Rivet;Hubert Cecotti;Ronald Phlypo;Olivier Bertrand

Frequent Co-Authors

Karl J. Friston
Karl J. Friston University College London
Fabien Lotte
Fabien Lotte French Institute for Research in Computer Science and Automation - INRIA
Jean Daunizeau
Jean Daunizeau Grenoble Alpes University
Christophe Phillips
Christophe Phillips University of Liège
Richard N. Henson
Richard N. Henson MRC Cognition and Brain Sciences Unit
Habib Benali
Habib Benali Concordia University
Jean-Marc Lina
Jean-Marc Lina École de Technologie Supérieure
Mélanie Pélégrini-Issac
Mélanie Pélégrini-Issac Sorbonne University
William D. Penny
William D. Penny University of East Anglia

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