World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9466
World Ranking
6801
National Ranking
146

Thierry Bouwmans 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 Thierry Bouwmans 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: 163 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Thierry Bouwmans 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 Thierry Bouwmans 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Thierry Bouwmans is affiliated with the University of La Rochelle in France. Their research primarily spans the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology, and Neurology.

Their publishing record includes contributions to various scientific venues, most notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • IEEE Transactions on Signal and Information Processing over Networks
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IET Image Processing

Some recent papers by Thierry Bouwmans include:

  • "Graph Moving Object Segmentation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness," 2022, IEEE Transactions on Signal and Information Processing over Networks
  • "Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance," 2020, IET Image Processing
  • "SemiSegSAR: A Semi-Supervised Segmentation Algorithm for Ship SAR Images," 2022, IEEE Geoscience and Remote Sensing Letters
  • "Moving objects detection with a moving camera: A comprehensive review," 2020, Computer Science Review

Their frequent co-authors include:

  • Jhony H. Giraldo
  • Arif Mahmood
  • Anastasia Zakharova
  • Sajid Javed
  • M. Sultana

Thierry Bouwmans's research covers main topics such as:

  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Advanced Graph Neural Networks
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging

Their work intersects areas of advanced machine learning applied to video and image analysis, graph signal processing, and both supervised and semi-supervised segmentation methods. The research outputs are consistent with interdisciplinary applications including security, surveillance, and remote sensing technologies.

Best Publications

  • Traditional and recent approaches in background modeling for foreground detection: An overview

    Thierry Bouwmans

  • Background Modeling using Mixture of Gaussians for Foreground Detection - A Survey

    Thierry Bouwmans;Fida El Baf;Bertrand Vachon

  • Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance

    Thierry Bouwmans;El Hadi Zahzah

  • Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset

    Thierry Bouwmans;Andrews Sobral;Sajid Javed;Soon Ki Jung

  • Recent Advanced Statistical Background Modeling for Foreground Detection - A Systematic Survey

    Thierry Bouwmans

  • Deep neural network concepts for background subtraction:A systematic review and comparative evaluation

    Thierry Bouwmans;Sajid Javed;Maryam Sultana;Soon Ki Jung

  • Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

    Namrata Vaswani;Thierry Bouwmans;Sajid Javed;Praneeth Narayanamurthy

  • Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

    Belmar Garcia-Garcia;Thierry Bouwmans;Alberto Jorge Rosales Silva

  • On the Applications of Robust PCA in Image and Video Processing

    Thierry Bouwmans;Sajid Javed;Hongyang Zhang;Zhouchen Lin

  • New Trends on Moving Object Detection in Video Images Captured by a moving Camera: A Survey

    Mehran Yazdi;Mehran Yazdi;Thierry Bouwmans

  • Statistical Background Modeling for Foreground Detection: A Survey

    Thierry Bouwmans;Fida El Baf;Bertrand Vachon

  • Human pose estimation from monocular images: A comprehensive survey

    Wenjuan Gong;Xuena Zhang;Jordi Gonzàlez;Andrews Sobral

  • Background Modeling and Foreground Detection for Video Surveillance

    Thierry Bouwmans;Fatih Porikli;Benjamin Hferlin;Antoine Vacavant

  • Fuzzy integral for moving object detection

    F. El Baf;T. Bouwmans;B. Vachon

  • Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling

    Fida Baf;Thierry Bouwmans;Bertrand Vachon

  • An eXtended Center-Symmetric Local Binary Pattern for Background Modeling and Subtraction in Videos

    Caroline Silva;Thierry Bouwmans;Carl Frélicot

  • Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering

    Sajid Javed;Arif Mahmood;Thierry Bouwmans;Soon Ki Jung

  • On the role and the importance of features for background modeling and foreground detection

    Thierry Bouwmans;Caroline Silva;Cristina Marghes;Mohammed Sami Zitouni

  • Subspace Learning for Background Modeling: A Survey

    Thierry Bouwmans

  • Decomposition into low-rank plus additive matrices for background/foreground separation

    Thierry Bouwmans;Andrews Sobral;Sajid Javed;Soon Ki Jung

  • Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

    T. Bouwmans;B. Garcia-Garcia

Frequent Co-Authors

Fatih Porikli
Fatih Porikli Australian National University
Namrata Vaswani
Namrata Vaswani Iowa State University
Jordi Gonzàlez
Jordi Gonzàlez Autonomous University of Barcelona
Yuejie Chi
Yuejie Chi Carnegie Mellon University
Zhouchen Lin
Zhouchen Lin Peking University
Larry S. Davis
Larry S. Davis University of Maryland, College Park
Huiyu Zhou
Huiyu Zhou University of Leicester
M. Emre Celebi
M. Emre Celebi University of Central Arkansas
Ricardo Otazo
Ricardo Otazo Memorial Sloan Kettering Cancer Center
Yongchun Fang
Yongchun Fang Nankai University

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