World's Best Scientists 2026 revealed!
Roland Badeau

Roland Badeau

D-Index & Metrics

Computer Science

D-Index
39
Citations
5194
World Ranking
9883
National Ranking
236

Roland Badeau 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 Roland Badeau 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Roland Badeau 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 Roland Badeau 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Roland Badeau is affiliated with Télécom ParisTech in France and has contributed extensively to research in signal processing and acoustic wave phenomena. Their work spans multiple fields including computer science and engineering, with specific interest in signal processing, biomedical engineering, artificial intelligence, oceanography, and control and systems engineering.

Their research primarily covers topics such as speech and audio processing, acoustic wave phenomena, music and audio processing, underwater acoustics, target tracking and data fusion in sensor networks, Gaussian processes and Bayesian inference, and blind source separation techniques.

Roland Badeau has published in several academic venues, with frequent contributions to:

  • The Journal of the Acoustical Society of America
  • arXiv (Cornell University)
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • International Symposium on the Acoustics of Ancient Theatres

Recent notable publications include:

  • "Statistical wave field theory," 2024, The Journal of the Acoustical Society of America
  • "Approximate Inference and Learning of State Space Models With Laplace Noise," 2021, IEEE Transactions on Signal Processing
  • "Unsupervised Music Source Separation Using Differentiable Parametric Source Models," 2023, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Unsupervised Blind Source Separation with Variational Auto-Encoders," 2021, 2021 29th European Signal Processing Conference (EUSIPCO)
  • "Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing

Roland Badeau collaborates frequently with several researchers, including:

  • Kilian Schulze-Forster
  • Gaël Richard
  • Clement S. J. Doire
  • Jean-Dominique Polack
  • Julian Neri

Their work involves methodologies and practices related to signal processing and audio analysis, often intersecting with machine learning and statistical modeling for audio source separation and acoustic wavefield analysis.

Best Publications

  • Multipitch Estimation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle

    Valentin Emiya;Roland Badeau;Bertrand David

  • Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation

    E. Vincent;N. Bertin;R. Badeau

  • Enforcing Harmonicity and Smoothness in Bayesian Non-Negative Matrix Factorization Applied to Polyphonic Music Transcription

    N. Bertin;R. Badeau;E. Vincent

  • Fast approximated power iteration subspace tracking

    R. Badeau;B. David;G. Richard

  • Harmonic and inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription

    E. Vincent;N. Berlin;R. Badeau

  • Generalized Sliced Wasserstein Distances

    Soheil Kolouri;Kimia Nadjahi;Umut Simsekli;Roland Badeau

  • Gaussian Processes for Underdetermined Source Separation

    Antoine Liutkus;Roland Badeau;Gäel Richard

  • Generalized Wiener filtering with fractional power spectrograms

    Antoine Liutkus;Roland Badeau

  • Score informed audio source separation using a parametric model of non-negative spectrogram

    Romain Hennequin;Bertrand David;Roland Badeau

  • A new perturbation analysis for signal enumeration in rotational invariance techniques

    R. Badeau;B. David;G. Richard

  • Informed source separation through spectrogram coding and data embedding

    Antoine Liutkus;Jonathan Pinel;Roland Badeau;Laurent Girin

  • Singing voice detection with deep recurrent neural networks

    Simon Leglaive;Romain Hennequin;Roland Badeau

  • Adaptive filtering for music/voice separation exploiting the repeating musical structure

    Antoine Liutkus;Zafar Rafii;Roland Badeau;Bryan Pardo

  • Sliding window adaptive SVD algorithms

    R. Badeau;G. Richard;B. David

  • Blind Signal Decompositions for Automatic Transcription of Polyphonic Music: NMF and K-SVD on the Benchmark

    N. Bertin;R. Badeau;G. Richard

  • High-resolution spectral analysis of mixtures of complex exponentials modulated by polynomials

    R. Badeau;B. David;G. Richard

  • Fast Multilinear Singular Value Decomposition for Structured Tensors

    Roland Badeau;Rémy Boyer

  • NMF With Time–Frequency Activations to Model Nonstationary Audio Events

    Romain Hennequin;Roland Badeau;Bertrand David

  • Informed source separation: Source coding meets source separation

    Alexey Ozerov;Antoine Liutkus;Roland Badeau;Gael Richard

  • Stability Analysis of Multiplicative Update Algorithms and Application to Nonnegative Matrix Factorization

    R Badeau;N Bertin;E Vincent

  • Enforcing harmonicity and smoothness in Bayesian non-negative matrix factorization applied to polyphonic music transcription Contraintes d'harmonicité et de régularité temporelle dans les approches bayésiennes de la factorisation en matrices coefficients positifs appliquées à la transcription de musique polyphonique

    Nancy Bertin;Roland Badeau;Emmanuel Vincent

Frequent Co-Authors

Gael Richard
Gael Richard Télécom ParisTech
Bertrand David
Bertrand David Télécom ParisTech
Emmanuel Vincent
Emmanuel Vincent University of Lorraine
Laurent Girin
Laurent Girin Grenoble Institute of Technology
Laurent Daudet
Laurent Daudet Université Paris Cité
Mark D. Plumbley
Mark D. Plumbley King's College London
Gustavo K. Rohde
Gustavo K. Rohde University of Virginia
Eric Moulines
Eric Moulines Mohamed bin Zayed University of Artificial Intelligence
Karim Abed-Meraim
Karim Abed-Meraim University of Orléans

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Related Online Degrees & Career Pathways

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