World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
6407
World Ranking
12945
National Ranking
330

Frédéric Bevilacqua 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 Frédéric Bevilacqua 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: 186 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.

Frédéric Bevilacqua 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 Frédéric Bevilacqua 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Frédéric Bevilacqua is affiliated with the Institut de Recherche et Coordination Acoustique Musique in France. Their research primarily spans the fields of Computer Science and Neuroscience, with significant contributions in various subfields including Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction, Social Psychology, and Signal Processing.

The scientist's work often explores topics that intersect technology and perception, with main research themes covering Music Technology and Sound Studies, Tactile and Sensory Interactions, Action Observation and Synchronization, Innovative Human-Technology Interaction, Music and Audio Processing, Multisensory Perception and Integration, and Interactive and Immersive Displays.

Recent publications showcase a variety of studies related to these topics. Notable papers include:

  • Effects of pitch and musical sounds on body-representations when moving with sound, 2022, Scientific Reports
  • Designing Deep Reinforcement Learning for Human Parameter Exploration, 2021, ACM Transactions on Computer-Human Interaction
  • How do People Train a Machine?, 2021, Proceedings of the ACM on Human-Computer Interaction
  • Motor Variability in Complex Gesture Learning: Effects of Movement Sonification and Musical Background, 2022, ACM Transactions on Applied Perception
  • Co-Designing Sensory Feedback for Wearables to Support Physical Activity through Body Sensations, 2024, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Their collaborative work frequently involves a core group of coauthors including Baptiste Caramiaux, Jules Françoise, Judith Ley-Flores, Aneesha Singh, and Ana Tajadura-Jiménez.

Frédéric Bevilacqua's research contributions have been published across several academic venues. These include HAL (Le Centre pour la Communication Scientifique Directe), ACM Transactions on Computer-Human Interaction, Organised Sound, Research Square, and Scientific Reports.

Best Publications

  • Digital holography for quantitative phase-contrast imaging.

    Etienne Cuche;Frédéric Bevilacqua;Christian Depeursinge

  • Quantitation and mapping of tissue optical properties using modulated imaging

    David J. Cuccia;Frédéric P. Bevilacqua;Anthony Joseph Durkin;Frederick R. Ayers

  • Gestures in performance

    Sofia Dahl;Frédéric Bevilacqua;Roberto Bresin;Martin Clayton

  • Monte Carlo study of diffuse reflectance at source–detector separations close to one transport mean free path

    Frédéric Bevilacqua;Christian Depeursinge

  • Continuous realtime gesture following and recognition

    Frédéric Bevilacqua;Bruno Zamborlin;Anthony Sypniewski;Norbert Schnell

  • Spectroscopy enhances the information content of optical mammography.

    Albert E. Cerussi;Dorota B. Jakubowski;Natasha Shah;Frederic Bevilacqua

  • Wireless sensor interface and gesture-follower for music pedagogy

    Frederic Bevilacqua;Fabrice Guédy;Norbert Schnell;Emmanuel Fléty

  • Human-Centred Machine Learning

    Marco Gillies;Rebecca Fiebrink;Atau Tanaka;Jérémie Garcia

  • MnM: a Max/MSP mapping toolbox

    Frédéric Bevilacqua;Rémy Müller;Norbert Schnell

  • The augmented violin project: research, composition and performance report

    Frédéric Bevilacqua;Nicolas Rasamimanana;Emmanuel Fléty;Serge Lemouton

  • Adaptive Gesture Recognition with Variation Estimation for Interactive Systems

    Baptiste Caramiaux;Nicola Montecchio;Atau Tanaka;Frédéric Bevilacqua

  • Movement qualities as interaction modality

    Sarah Fdili Alaoui;Baptiste Caramiaux;Marcos Serrano;Frédéric Bevilacqua

  • FTM — Complex data structures for Max

    Norbert Schnell;Riccardo Borghesi;Diemo Schwarz;Frédéric Bevilacqua

  • Towards a gesture-sound cross-modal analysis

    Baptiste Caramiaux;Frédéric Bevilacqua;Norbert Schnell

  • Gestural control of music: using the vicon 8 motion capture system

    Christopher Dobrian;Frédéric Bevilacqua

  • Gesture Analysis of Violin Bow Strokes

    Nicolas H. Rasamimanana;Emmanuel Flety;Frédéric Bevilacqua

  • Mapping through listening

    Baptiste Caramiaux;Jules Françoise;Norbert Schnell;Frédéric Bevilacqua

  • Segmenting and Parsing Instrumentalists' Gestures

    Baptiste Caramiaux;Marcelo M. Wanderley;Frédéric Bevilacqua

  • Probabilistic Models for Designing Motion and Sound Relationships.

    Jules Françoise;Norbert Schnell;Riccardo Borghesi;Frédéric Bevilacqua

  • 3D motion capture data: motion analysis and mapping to music

    Frédéric Bevilacqua;Jeff Ridenour;David J. Cuccia

  • Modular musical objects towards embodied control of digital music

    Nicolas Rasamimanana;Frederic Bevilacqua;Norbert Schnell;Fabrice Guedy

Frequent Co-Authors

Pierre Marquet
Pierre Marquet University of Limoges
Ana Tajadura-Jiménez
Ana Tajadura-Jiménez Carlos III University of Madrid
Nadia Bianchi-Berthouze
Nadia Bianchi-Berthouze University College London
Wendy E. Mackay
Wendy E. Mackay University of Paris-Saclay
Marcelo M. Wanderley
Marcelo M. Wanderley McGill University
Paolo Meda
Paolo Meda University of Geneva
Catherine Pelachaud
Catherine Pelachaud Sorbonne University
Caroline Palmer
Caroline Palmer McGill University
Ron D. Frostig
Ron D. Frostig University of California, Irvine
Vesa Välimäki
Vesa Välimäki Aalto University

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