World's Best Scientists 2026 revealed!
Mohamed Daoudi

Mohamed Daoudi

D-Index & Metrics

Computer Science

D-Index
44
Citations
7176
World Ranking
7635
National Ranking
173

Mohamed Daoudi 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 Mohamed Daoudi 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 239 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Mohamed Daoudi 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 Mohamed Daoudi sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 44 D-Index — 48th percentile

48% 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

  • 2014 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D shape analysis and retrieval and related applications

Overview

Mohamed Daoudi is affiliated with IMT Nord Europe in France and has contributed extensively to the fields of Computer Science and Engineering. Their research spans numerous subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering, Experimental and Cognitive Psychology, and Cognitive Neuroscience.

Their main research topics encompass diverse areas such as Human Pose and Action Recognition, 3D Shape Modeling and Analysis, Human Motion and Animation, Face Recognition and Analysis, Emotion and Mood Recognition, Generative Adversarial Networks and Image Synthesis, and Face and Expression Recognition.

Daoudi's recent scholarly outputs include the following papers:

  • Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition, 2023, IEEE Transactions on Affective Computing
  • Dynamic Facial Expression Generation on Hilbert Hypersphere With Conditional Wasserstein Generative Adversarial Nets, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Fall Detection of Elderly People Using the Manifold of Positive Semidefinite Matrices, 2021, Journal of Imaging
  • Elaboration and investigation of formulated polymer composites as some potential anticorrosion coatings for brass surface in 3.5% NaCl solution: theoretical approaches, 2024, Canadian Metallurgical Quarterly
  • Sparse to Dense Dynamic 3D Facial Expression Generation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Throughout their career, Daoudi has frequently collaborated with several researchers, including:

  • Naima Otberdout
  • Sylvain Arguillère
  • Stefano Berretti
  • Emery Pierson
  • Baptiste Chopin

Their work has been published in a range of venues with repeated contributions in the following journals and platforms:

  • arXiv (Cornell University)
  • Computers & Graphics
  • IEEE Transactions on Affective Computing
  • IEEE Transactions on Biometrics Behavior and Identity Science
  • HAL (Le Centre pour la Communication Scientifique Directe)

Daoudi was recognized as a Fellow of the International Association for Pattern Recognition (IAPR) in 2014 for contributions to 3D shape analysis and retrieval and related applications.

Best Publications

  • 3-D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold

    Maxime Devanne;Hazem Wannous;Stefano Berretti;Pietro Pala

  • 3D Face Recognition under Expressions, Occlusions, and Pose Variations

    Hassen Drira;Boulbaba Ben Amor;A. Srivastava;M. Daoudi

  • Three-Dimensional Face Recognition Using Shapes of Facial Curves

    C. Samir;A. Srivastava;M. Daoudi

  • A Bayesian 3-D Search Engine Using Adaptive Views Clustering

    T.F. Ansary;M. Daoudi;J.-P. Vandeborre

  • Accurate 3D action recognition using learning on the Grassmann manifold

    Rim Slama;Hazem Wannous;Mohamed Daoudi;Anuj Srivastava

  • A comparison of methods for non-rigid 3D shape retrieval

    Zhouhui Lian;Afzal Godil;Benjamin Bustos;Mohamed Daoudi

  • A Set of Selected SIFT Features for 3D Facial Expression Recognition

    Stefano Berretti;Alberto Del Bimbo;Pietro Pala;Boulbaba Ben Amor

  • 3D facial expression recognition using SIFT descriptors of automatically detected keypoints

    Stefano Berretti;Boulbaba Ben Amor;Mohamed Daoudi;Alberto del Bimbo

  • SHREC'11 track: shape retrieval on non-rigid 3D watertight meshes

    Z. Lian;A. Godil;B. Bustos;M. Daoudi

  • Blocking Adult Images Based on Statistical Skin Detection

    Huicheng Zheng;Mohamed Daoudi;Bruno Jedynak

  • Partial 3D Shape Retrieval by Reeb Pattern Unfolding

    Julien Tierny;Jean-Philippe Vandeborre;Jean-Philippe Vandeborre;Mohamed Daoudi;Mohamed Daoudi

  • An Intrinsic Framework for Analysis of Facial Surfaces

    Chafik Samir;Anuj Srivastava;Mohamed Daoudi;Eric Klassen

  • Learning Boundary Edges for 3D-Mesh Segmentation

    Halim Benhabiles;Guillaume Lavoué;Jean-Philippe Vandeborre;Mohamed Daoudi

  • 3D Mesh Skeleton Extraction Using Topological and Geometrical Analyses

    Julien Tierny;Jean-Philippe Vandeborre;Mohamed Daoudi

  • Shape analysis of local facial patches for 3D facial expression recognition

    Ahmed Maalej;Boulbaba Ben Amor;Mohamed Daoudi;Anuj Srivastava

  • Topology driven 3D mesh hierarchical segmentation

    J. Tierny;J.-P. Vandeborre;M. Daoudi

  • Boosting 3-D-Geometric Features for Efficient Face Recognition and Gender Classification

    L. Ballihi;Boulbaba Ben Amor;M. Daoudi;A. Srivastava

  • 3D models retrieval by using characteristic views

    S. Mahmoudi;M. Daoudi

  • Space-Time Pose Representation for 3D Human Action Recognition

    Maxime Devanne;Hazem Wannous;Stefano Berretti;Pietro Pala

  • A New 3D-Matching Method of Nonrigid and Partially Similar Models Using Curve Analysis

    H Tabia;M Daoudi;Jean-Philippe Vandeborre;O Colot

  • Eurographics Workshop on 3D Object Retrieval 2010

    Mohamed Daoudi;Schreck Tobias;Spagnuolo Michela;Pratikakis Ioannis

Frequent Co-Authors

Stefano Berretti
Stefano Berretti University of Florence
Anuj Srivastava
Anuj Srivastava Florida State University
Alberto Del Bimbo
Alberto Del Bimbo University of Florence
Pietro Pala
Pietro Pala University of Florence
Guillaume Lavoué
Guillaume Lavoué École Centrale de Lyon
Remco C. Veltkamp
Remco C. Veltkamp Utrecht University
Di Huang
Di Huang Beihang University
Liming Chen
Liming Chen École Centrale de Lyon
Yunhong Wang
Yunhong Wang Beihang University
Mohamad El Haj
Mohamad El Haj University of Nantes

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