World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7856
World Ranking
8347
National Ranking
155

Ricardo Chavarriaga 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 Ricardo Chavarriaga 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: 187 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Ricardo Chavarriaga 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 Ricardo Chavarriaga 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Ricardo Chavarriaga is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research spans multiple areas primarily within neuroscience, with a focus on cognitive neuroscience, artificial intelligence, and cellular and molecular neuroscience.

Their work addresses neuroengineering and brain-computer interfaces, with a significant presence in the EEG and brain-computer interface domain. Additional research topics covered include neural dynamics and brain function, ethics in clinical research, visual perception and processing mechanisms, and virtual reality applications and impacts.

Ricardo Chavarriaga has contributed to the following recent papers:

  • International data governance for neuroscience (2021), published in Neuron
  • Mobile brain/body imaging of landmark-based navigation with high-density EEG (2021), published in European Journal of Neuroscience
  • Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials (2021), published in Communications Biology
  • Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones (2022), published in IEEE Journal of Biomedical and Health Informatics
  • Towards a Governance Framework for Brain Data (2022), published in Neuroethics

Frequent co-authors collaborating with Ricardo Chavarriaga include:

  • José del R. Millán
  • Matthew L. Bolton
  • Luke
  • Michael C. Dorneich
  • Giancarlo Fortino

The venues where Ricardo Chavarriaga has most frequently published are:

  • IEEE Transactions on Human-Machine Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • iScience
  • Zenodo (CERN European Organization for Nuclear Research)

The main field of study for Ricardo Chavarriaga's work is Neuroscience. This broad field encompasses several specific subfields with their research contributions including:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Cellular and Molecular Neuroscience
  • Public Health, Environmental and Occupational Health
  • Social Psychology

Best Publications

  • Collecting complex activity datasets in highly rich networked sensor environments

    Daniel Roggen;Alberto Calatroni;Mirco Rossi;Thomas Holleczek

  • The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

    Ricardo Chavarriaga;Hesam Sagha;Alberto Calatroni;Sundara Tejaswi Digumarti

  • Learning From EEG Error-Related Potentials in Noninvasive Brain-Computer Interfaces

    R Chavarriaga;José del R. Millán

  • Errare machinale est: the use of error-related potentials in brain-machine interfaces.

    Ricardo Chavarriaga;Aleksander Sobolewski;José del R. Millán

  • Detection of self-paced reaching movement intention from EEG signals

    Eileen Lew;Ricardo Chavarriaga;Stefano Silvoni;José del R. Millán

  • A hybrid brain-computer interface based on the fusion of electroencephalographic and electromyographic activities.

    Robert Leeb;Hesam Sagha;Ricardo Chavarriaga;José del R Millán

  • Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control.

    Iñaki Iturrate;Iñaki Iturrate;Ricardo Chavarriaga;Luis Montesano;Javier Minguez

  • Is there a geometric module for spatial orientation? Insights from a rodent navigation model.

    Denis Sheynikhovich;Ricardo Chavarriaga;Thomas Strösslin;Angelo Arleo

  • Brain-coupled interaction for semi-autonomous navigation of an assistive robot

    Xavier Perrin;Ricardo Chavarriaga;Francis Colas;Roland Siegwart

  • A brain-controlled exoskeleton with cascaded event-related desynchronization classifiers

    Kyuhwa Lee;Dong Liu;Laetitia Perroud;Ricardo Chavarriaga

  • Non-Invasive Brain-Machine Interaction

    José del R. Millán;José del R. Millán;Pierre W. Ferrez;Pierre W. Ferrez;Ferran Galán;Ferran Galán;Eileen Lew;Eileen Lew

  • OPPORTUNITY: Towards opportunistic activity and context recognition systems

    Daniel Roggen;Kilian Forster;Alberto Calatroni;Thomas Holleczek

  • Benchmarking classification techniques using the Opportunity human activity dataset

    Hesam Sagha;Sundara Tejaswi Digumarti;Jose del R. Millan;Ricardo Chavarriaga

  • EEG-based decoding of error-related brain activity in a real-world driving task.

    Huaijian Zhang;Ricardo Chavarriaga;Zahra Khaliliardali;Lucian Andrei Gheorghe

  • Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers

    Xiao Zhang;Dongrui Wu;Lieyun Ding;Hanbin Luo

  • Heading for new shores! Overcoming pitfalls in BCI design.

    Ricardo Chavarriaga;Melanie Fried-Oken;Sonja Kleih;Fabien Lotte

  • 2005 Special issue: Robust self-localisation and navigation based on hippocampal place cells

    Thomas Strösslin;Denis Sheynikhovich;Ricardo Chavarriaga;Wulfram Gerstner

  • Single trial analysis of slow cortical potentials: a study on anticipation related potentials

    Gangadhar Garipelli;Ricardo Chavarriaga;José del R Millán

  • Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI

    Robert Leeb;Hesam Sagha;Ricardo Chavarriaga;Jose del. R. Millan

  • Opportunistic human activity and context recognition

    D. Roggen;Gerhard Troster;P. Lukowicz;A. Ferscha

  • A computational model of parallel navigation systems in rodents.

    Ricardo Chavarriaga;Thomas Strösslin;Denis Sheynikhovich;Wulfram Gerstner

Frequent Co-Authors

José del R. Millán
José del R. Millán The University of Texas at Austin
Robert Leeb
Robert Leeb MindMaze
Daniel Roggen
Daniel Roggen University of Sussex
Alois Ferscha
Alois Ferscha Johannes Kepler University of Linz
Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Wulfram Gerstner
Wulfram Gerstner École Polytechnique Fédérale de Lausanne
Fabien Lotte
Fabien Lotte French Institute for Research in Computer Science and Automation - INRIA
Jocelyne Bloch
Jocelyne Bloch University of Lausanne

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