World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
14509
World Ranking
2776
National Ranking
40

Jean-Yves Tourneret 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 Jean-Yves Tourneret 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: 532 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Jean-Yves Tourneret 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 Jean-Yves Tourneret 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: 63 D-Index — 81st percentile

81% 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

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Jean-Yves Tourneret is affiliated with the National Polytechnic Institute of Toulouse in France. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions in several subfields such as Artificial Intelligence, Statistics and Probability, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Biomedical Engineering.

Their scientific work centers on key topics including:

  • Target Tracking and Data Fusion in Sensor Networks
  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Bayesian Methods and Mixture Models
  • Complex Systems and Time Series Analysis
  • Advanced Statistical Methods and Models
  • Spectroscopy and Chemometric Analyses

Tourneret has published extensively in renowned venues. Frequent publication outlets include:

  • Signal Processing
  • arXiv (Cornell University)
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • 2022 30th European Signal Processing Conference (EUSIPCO)
  • IEEE Transactions on Signal Processing

Among recent papers, notable works are:

  • "Generalized isolation forest for anomaly detection," 2021, Pattern Recognition Letters
  • "Anomaly Detection and Classification in Multispectral Time Series Based on Hidden Markov Models," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "How to introduce expert feedback in one-class support vector machines for anomaly detection?", 2021, Signal Processing
  • "Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models - Application to the detection of anomalous crop development," 2022, Computers and Electronics in Agriculture
  • "Drowsiness Detection Using Joint EEG-ECG Data With Deep Learning," 2021, 2021 29th European Signal Processing Conference (EUSIPCO)

Collaborations have frequently involved several co-authors, with multiple joint publications with:

  • Herwig Wendt
  • Julien Lesouple
  • Florian Mouret
  • Denis Kouamé
  • Barbara Pilastre

The scientist's body of work emphasizes analytical and methodological advancements in anomaly detection, data fusion in sensor networks, and robust statistical modeling. Their contributions have appeared prominently across both theoretical and applied domains within signal and image processing and machine learning contexts.

Best Publications

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation

    Qi Wei;Jose Bioucas-Dias;Nicolas Dobigeon;Jean-Yves Tourneret

  • Fast Fusion of Multi-Band Images Based on Solving a Sylvester Equation

    Qi Wei;Nicolas Dobigeon;Jean-Yves Tourneret

  • Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms

    Nicolas Dobigeon;Jean-Yves Tourneret;Cedric Richard;Jose Carlos M. Bermudez

  • Nonlinear Unmixing of Hyperspectral Images Using a Generalized Bilinear Model

    A. Halimi;Y. Altmann;N. Dobigeon;J. Tourneret

  • Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery

    N. Dobigeon;S. Moussaoui;M. Coulon;J.-Y. Tourneret

  • Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery

    Y. Altmann;A. Halimi;N. Dobigeon;J. Tourneret

  • Bayesian Fusion of Multi-Band Images

    Qi Wei;Nicolas Dobigeon;Jean-Yves Tourneret

  • Semi-Supervised Linear Spectral Unmixing Using a Hierarchical Bayesian Model for Hyperspectral Imagery

    N. Dobigeon;J.-Y. Tourneret;Chein-I Chang

  • Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model

    Pierre-Antoine Thouvenin;Nicolas Dobigeon;Jean-Yves Tourneret

  • Real-time 3D reconstruction from single-photon lidar data using plug-and-play point cloud denoisers.

    Julián Tachella;Yoann Altmann;Nicolas Mellado;Aongus McCarthy

  • Spectral Variability in Hyperspectral Data Unmixing: A Comprehensive Review

    Ricardo Augusto Borsoi;Tales Imbiriba;José Carlos Moreira Bermudez;Cédric Richard

  • Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery

    Olivier Eches;Nicolas Dobigeon;Corinne Mailhes;Jean-Yves Tourneret

  • An Affine Combination of Two LMS Adaptive Filters—Transient Mean-Square Analysis

    N.J. Bershad;J.C.M. Bermudez;J.-Y. Tourneret

  • Enhancing Hyperspectral Image Unmixing With Spatial Correlations

    O. Eches;N. Dobigeon;J-Y Tourneret

  • A Survey of Stochastic Simulation and Optimization Methods in Signal Processing

    Marcelo Pereyra;Philip Schniter;Emilie Chouzenoux;Jean-Christophe Pesquet

  • Parameter Estimation For Multivariate Generalized Gaussian Distributions

    Frederic Pascal;Lionel Bombrun;Jean-Yves Tourneret;Yannick Berthoumieu

  • Generalized isolation forest for anomaly detection

    Julien Lesouple;Cédric Baudoin;Marc Spigai;Jean-Yves Tourneret

  • P- and T-Wave Delineation in ECG Signals Using a Bayesian Approach and a Partially Collapsed Gibbs Sampler

    Chao Lin;Corinne Mailhes;Jean-Yves Tourneret

  • A Particle Filtering Approach for Joint Detection/Estimation of Multipath Effects on GPS Measurements

    A. Giremus;J.-Y. Tourneret;V. Calmettes

  • An affine combination of two NLMS adaptive filters - Transient mean-square analysis

    J. Bermudez;N.J. Bershad;J.-Y. Tourneret

Frequent Co-Authors

Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Stephen McLaughlin
Stephen McLaughlin Heriot-Watt University
Olivier Besson
Olivier Besson National Higher French Institute of Aeronautics and Space
Cedric Richard
Cedric Richard Université Côte d'Azur
Alfred O. Hero
Alfred O. Hero University of Michigan–Ann Arbor
Patrice Abry
Patrice Abry École Normale Supérieure de Lyon
Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Simon J. Godsill
Simon J. Godsill University of Cambridge
Jean-Christophe Pesquet
Jean-Christophe Pesquet CentraleSupélec
Jordi Inglada
Jordi Inglada Centre d'Etudes Spatiales de la BIOsphère

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