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Computer Science
France
2026

D-Index & Metrics

Best Female Scientists

D-Index
154
Citations
154444
World Ranking
129
National Ranking
5

Computer Science

D-Index
155
Citations
157417
World Ranking
26
National Ranking
1

Cordelia Schmid 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 Cordelia Schmid 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: 496 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Cordelia Schmid 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 Cordelia Schmid 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: 155 D-Index — 100th percentile

100% 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

  • 2026 - Research.com Computer Science in France Leader Award
  • 2025 - Research.com Best Female Scientists Award
  • 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

Cordelia Schmid is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their primary field of study is Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Signal Processing, and Computational Mechanics.

Their research covers a range of topics such as Multimodal Machine Learning Applications, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Video Analysis and Summarization, and Anomaly Detection Techniques and Applications.

Cordelia Schmid has contributed to several recent papers, including:

  • What Makes for Good Views for Contrastive Learning?, 2020, arXiv (Cornell University)
  • Attention Bottlenecks for Multimodal Fusion, 2021, arXiv (Cornell University)
  • Multiview Transformers for Video Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • TNT: Target-driveN Trajectory Prediction, 2020, arXiv (Cornell University)
  • End-to-end Generative Pretraining for Multimodal Video Captioning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

They frequently coauthor work with other researchers, including:

  • Ivan Laptev
  • Arsha Nagrani
  • Anurag Arnab
  • Ahmet İşcen
  • Shizhe Chen

Publications by Cordelia Schmid are often featured in prominent venues, with a significant number appearing in:

  • arXiv (Cornell University)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Lecture notes in computer science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Best Publications

  • A performance evaluation of local descriptors

    K. Mikolajczyk;C. Schmid

  • Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

    S. Lazebnik;C. Schmid;J. Ponce

  • A performance evaluation of local descriptors

    K. Mikolajczyk;C. Schmid

  • Scale & Affine Invariant Interest Point Detectors

    Krystian Mikolajczyk;Cordelia Schmid

  • Learning realistic human actions from movies

    I. Laptev;M. Marszalek;C. Schmid;B. Rozenfeld

  • A Comparison of Affine Region Detectors

    K. Mikolajczyk;T. Tuytelaars;C. Schmid;A. Zisserman

  • Action Recognition with Improved Trajectories

    Heng Wang;Cordelia Schmid

  • Product Quantization for Nearest Neighbor Search

    H Jégou;M Douze;C Schmid

  • Aggregating local descriptors into a compact image representation

    Herve Jegou;Matthijs Douze;Cordelia Schmid;Patrick Perez

  • Local Features and Kernels for Classification of Texture and Object Categories: A Comprehensive Study

    Jianguo Zhang;M. Marszalek;S. Lazebnik;C. Schmid

  • Evaluation of Interest Point Detectors

    Cordelia Schmid;Roger Mohr;Christian Bauckhage

  • A Spatio-Temporal Descriptor Based on 3D-Gradients

    Alexander Klaser;Marcin Marszałek;Cordelia Schmid

  • Human Detection Using Oriented Histograms of Flow and Appearance

    Navneet Dalal;Bill Triggs;Cordelia Schmid

  • Local grayvalue invariants for image retrieval

    C. Schmid;R. Mohr

  • Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search

    Herve Jegou;Matthijs Douze;Cordelia Schmid

  • An Affine Invariant Interest Point Detector

    K. Mikolajczyk;C. Schmid

  • Action recognition by dense trajectories

    Heng Wang;Alexander Klaser;Cordelia Schmid;Cheng-Lin Liu

  • Dense Trajectories and Motion Boundary Descriptors for Action Recognition

    Heng Wang;Alexander Kläser;Cordelia Schmid;Cheng-Lin Liu

  • Indexing based on scale invariant interest points

    K. Mikolajczyk;C. Schmid

  • Aggregating Local Image Descriptors into Compact Codes

    H. Jegou;F. Perronnin;M. Douze;J. Sanchez

Frequent Co-Authors

Hervé Jégou
Hervé Jégou Facebook (United States)
Jean Ponce
Jean Ponce École Normale Supérieure
Matthijs Douze
Matthijs Douze Facebook (United States)
Jakob Verbeek
Jakob Verbeek Facebook AI Research (FAIR) in Paris
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Ivan Laptev
Ivan Laptev Mohamed bin Zayed University of Artificial Intelligence
Frédéric Jurie
Frédéric Jurie Université de Caen Normandie
Andrew Zisserman
Andrew Zisserman University of Oxford
Zaid Harchaoui
Zaid Harchaoui University of Washington
Krystian Mikolajczyk
Krystian Mikolajczyk Imperial College London

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