World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
15700
World Ranking
5764
National Ranking
119

Fabien Lotte 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 Fabien Lotte 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 200 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Fabien Lotte 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 Fabien Lotte sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Fabien Lotte is affiliated with L'Abri in Switzerland and specializes primarily in the field of Neuroscience. Their research covers numerous subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Experimental and Cognitive Psychology, Electrical and Electronic Engineering, and Human-Computer Interaction.

The scientist's main topics of study involve EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neural and Behavioral Psychology Studies, Functional Brain Connectivity Studies, Neural dynamics and brain function, Advanced Memory and Neural Computing, and Gaze Tracking and Assistive Technology.

Fabien Lotte has contributed extensively to both journal articles and books. A notable book publication is titled Brain-Computer Interfaces, released in 2024 by Elsevier BV.

Recent papers by Fabien Lotte include:

  • Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist), 2020, Brain
  • A review of user training methods in brain computer interfaces based on mental tasks, 2020, Journal of Neural Engineering
  • Modern Machine-Learning Algorithms: For Classifying Cognitive and Affective States From Electroencephalography Signals, 2020, IEEE Systems Man and Cybernetics Magazine
  • Long-Term BCI Training of a Tetraplegic User: Adaptive Riemannian Classifiers and User Training, 2021, Frontiers in Human Neuroscience
  • Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies, 2020, NeuroImage Clinical

Frequent co-authors of Fabien Lotte include Camille Jeunet, Léa Pillette, Bernard N'Kaoua, Sébastien Rimbert, and Aline Roc.

Fabien Lotte's research is often published in venues such as HAL (Le Centre pour la Communication Scientifique Directe), Zenodo (CERN European Organization for Nuclear Research), Journal of Neural Engineering, Frontiers in Neuroergonomics, and arXiv (Cornell University).

Best Publications

  • A review of classification algorithms for EEG-based brain–computer interfaces

    Fabien Lotte;Marco Congedo;Anatole Lécuyer;Fabrice Lamarche

  • A Review of Classification Algorithms for EEG-based Brain-Computer Interfaces: A 10-year Update

    Fabien Lotte;Laurent Bougrain;Andrzej Cichocki;Andrzej Cichocki;Maureen Clerc

  • Regularizing Common Spatial Patterns to Improve BCI Designs: Unified Theory and New Algorithms

    Fabien Lotte;Cuntai Guan

  • Openvibe: An open-source software platform to design, test, and use brain--computer interfaces in real and virtual environments

    Yann Renard;Fabien Lotte;Guillaume Gibert;Marco Congedo

  • Brain-Computer Interfaces, Virtual Reality, and Videogames

    A. Lecuyer;F. Lotte;R.B. Reilly;R. Leeb

  • Brain-Computer Interfaces: Beyond Medical Applications

    J. van Erp;F. Lotte;M. Tangermann

  • Riemannian Approaches in Brain-Computer Interfaces: A Review

    Florian Yger;Maxime Berar;Fabien Lotte

  • Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design

    Fabien Lotte;Florian Larrue;Christian Mühl

  • Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces

    Fabien Lotte

  • A Tutorial on EEG Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces

    Fabien Lotte

  • Two Brains, One Game: Design and Evaluation of a Multiuser BCI Video Game Based on Motor Imagery

    L. Bonnet;F. Lotte;A. Lecuyer

  • Why standard brain-computer interface (BCI) training protocols should be changed: an experimental study

    Camille Jeunet;Emilie Jahanpour;Emilie Jahanpour;Fabien Lotte

  • Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns

    Camille Jeunet;Bernard N’Kaoua;Sriram Subramanian;Martin Hachet

  • EEG-based workload estimation across affective contexts

    Christian Mühl;Camille Jeunet;Camille Jeunet;Fabien Lotte;Fabien Lotte

  • Learning from other subjects helps reducing Brain-Computer Interface calibration time

    Fabien Lotte;Cuntai Guan

  • Combining BCI with Virtual Reality: Towards New Applications and Improved BCI

    Fabien Lotte;Josef Faller;Christoph Guger;Yann Renard

  • Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates.

    Camille Jeunet;Bernard N'Kaoua;Fabien Lotte

  • Monitoring Pilot's Mental Workload Using ERPs and Spectral Power with a Six-Dry-Electrode EEG System in Real Flight Conditions.

    Frédéric Dehais;Alban Duprès;Sarah Blum;Nicolas Drougard

  • Classification of movement intention by spatially filtered electromagnetic inverse solutions

    Marco Congedo;Fabien Lotte;Anatole Lécuyer

  • A review of rapid serial visual presentation-based brain-computer interfaces.

    Stephanie Lees;Natalie Dayan;Hubert Cecotti;Paul McCullagh

  • Comparative study of band-power extraction techniques for Motor Imagery classification

    Nicolas Brodu;Fabien Lotte;Anatole Lecuyer

Frequent Co-Authors

Anatole Lécuyer
Anatole Lécuyer French Institute for Research in Computer Science and Automation - INRIA
Andrzej Cichocki
Andrzej Cichocki Systems Research Institute
Jérémie Mattout
Jérémie Mattout Grenoble Alpes University
Marco Congedo
Marco Congedo Centre national de la recherche scientifique, CNRS
Cuntai Guan
Cuntai Guan Nanyang Technological University
Renaud Jardri
Renaud Jardri University of Lille
Ricardo Chavarriaga
Ricardo Chavarriaga École Polytechnique Fédérale de Lausanne
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires
Reinhold Scherer
Reinhold Scherer University of Essex
Andrea Kübler
Andrea Kübler University of Würzburg

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