World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
23353
World Ranking
1485
National Ranking
776

José del R. Millán 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 José del R. Millán 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: 378 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

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

José del R. Millán 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 José del R. Millán 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: 74 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to brain-controlled robots

Overview

José del R. Millán is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the field of Neuroscience, with a significant focus on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Human-Computer Interaction, and Biomedical Engineering.

The main topics of their work include:

  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • Advanced Memory and Neural Computing
  • Gaze Tracking and Assistive Technology

Frequent publication venues for José del R. Millán include:

  • IEEE Transactions on Human-Machine Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • Handbook of clinical neurology
  • Scientific Reports

Recent papers authored or co-authored by José del R. Millán include:

  • Brain-computer interfaces: Definitions and principles, 2020, Handbook of clinical neurology
  • Brain-Machine Interfaces: A Tale of Two Learners, 2020, IEEE Systems Man and Cybernetics Magazine
  • Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging, 2020, Proceedings of the National Academy of Sciences
  • A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface, 2022, Biosensors and Bioelectronics
  • Noninvasive Brain-Machine Interfaces for Robotic Devices, 2020, Annual Review of Control Robotics and Autonomous Systems

Frequent co-authors collaborating with José del R. Millán include:

  • Ricardo Chavarriaga
  • Matthew L. Bolton
  • Luke
  • Michael C. Dorneich
  • Giancarlo Fortino

José del R. Millán received the IEEE Fellow award in 2017 for contributions to brain-controlled robots.

Best Publications

  • The BCI competition III: validating alternative approaches to actual BCI problems

    B. Blankertz;K.-R. Muller;D.J. Krusienski;G. Schalk

  • Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges.

    José del R. Millán;Rüdiger Rupp;Gernot Müller-Putz;Rod Murray-Smith

  • Noninvasive brain-actuated control of a mobile robot by human EEG

    Jd.R. Millan;F. Renkens;J. Mourino;W. Gerstner

  • Control strategies for active lower extremity prosthetics and orthotics: a review

    Michael R Tucker;Jeremy Olivier;Anna Pagel;Hannes Bleuler

  • 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

  • Person Authentication Using Brainwaves (EEG) and Maximum A Posteriori Model Adaptation

    S. Marcel;J.D.R. Millan

  • Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

    A Biasiucci;R Leeb;I Iturrate;S Perdikis

  • Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis

    María A. Cervera;Surjo R. Soekadar;Junichi Ushiba;José del R. Millán

  • Brain-Computer Interfacing for Intelligent Systems

    A. Nijholt;D. Tan

  • 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

  • A local neural classifier for the recognition of EEG patterns associated to mental tasks

    J. del R Millan;J. Mourino;M. Franze;F. Cincotti

  • Novice Shooters With Lower Pre-shooting Alpha Power Have Better Performance During Competition in a Virtual Reality Scenario

    Michael Pereira;Ferran Argelaguet;José del R. Millán;Anatole Lécuyer

  • BNCI Horizon 2020: Towards a Roadmap for the BCI Community

    Clemens Brunner;Niels Birbaumer;Benjamin Blankertz;Christoph Guger

  • Improving Human Performance in a Real Operating Environment through Real-Time Mental Workload Detection

    Guido Dornhege;José del R. Millán;Thilo Hinterberger;Dennis J. McFarland

  • Linear classification of low-resolution EEG patterns produced by imagined hand movements

    F. Babiloni;F. Cincotti;L. Lazzarini;J. Millan

  • Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities

    Robert Leeb;Luca Tonin;Martin Rohm;Lorenzo Desideri

  • Transferring brain-computer interfaces beyond the laboratory

    Robert Leeb;Serafeim Perdikis;Luca Tonin;Andrea Biasiucci

  • You are wrong!: automatic detection of interaction errors from brain waves

    Pierre W. Ferrez;José Del R. Millán

  • An Introduction to Brain-Computer Interfacing

    Guido Dornhege;José del R. Millán;Thilo Hinterberger;Dennis J. McFarland

Frequent Co-Authors

Ricardo Chavarriaga
Ricardo Chavarriaga École Polytechnique Fédérale de Lausanne
Robert Leeb
Robert Leeb MindMaze
Klaus-Robert Müller
Klaus-Robert Müller Technical University of Berlin
Dennis J. McFarland
Dennis J. McFarland Wadsworth Center
Febo Cincotti
Febo Cincotti Sapienza University of Rome
Daniel Roggen
Daniel Roggen University of Sussex
Donatella Mattia
Donatella Mattia Sapienza University of Rome
Gernot R. Müller-Putz
Gernot R. Müller-Putz Graz University of Technology
Robert T. Knight
Robert T. Knight University of California, Berkeley

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