World's Best Scientists 2026 revealed!
Gabriela Csurka

Gabriela Csurka

D-Index & Metrics

Computer Science

D-Index
47
Citations
16515
World Ranking
6309
National Ranking
134

Gabriela Csurka 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 Gabriela Csurka 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: 164 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.

Gabriela Csurka 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 Gabriela Csurka 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Gabriela Csurka is affiliated with Naver Labs in France and has produced a substantial body of research primarily in the field of Computer Science. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, and Geology.

Their recent publications include the following papers:

  • Deep Visual Geo-localization Benchmark, 2022, published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Semantic Image Segmentation: Two Decades of Research, 2022, published in Foundations and Trends® in Computer Graphics and Vision
  • Investigating the Role of Image Retrieval for Visual Localization, 2022, published in the International Journal of Computer Vision
  • ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity, 2022, published on arXiv (Cornell University)
  • Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey, 2021, published on arXiv (Cornell University)

Gabriela Csurka's work frequently appears in a range of publication venues, with a significant number of contributions to arXiv (Cornell University), as well as the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Foundations and Trends® in Computer Graphics and Vision, International Journal of Computer Vision, and Synthesis Lectures on Computer Vision.

Gabriela Csurka has collaborated extensively with a number of co-authors, including:

  • Timothy M. Hospedales
  • Mathieu Salzmann
  • Tatiana Tommasi
  • Diane Larlus
  • Riccardo Volpi

Research topics covered by Gabriela Csurka encompass a range of areas such as:

  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • COVID-19 diagnosis using AI
  • Advanced Vision and Imaging
  • Machine Learning and Data Classification

In addition to journal and conference papers, Gabriela Csurka has authored a book titled Visual Domain Adaptation in the Deep Learning Era, published by Morgan & Claypool Publishers in 2022.

Best Publications

  • Visual categorization with bags of keypoints

    G. Csurka

  • What is a good evaluation measure for semantic segmentation

    Gabriela Csurka;Diane Larlus;Florent Perronnin

  • Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost

    T. Mensink;J. Verbeek;F. Perronnin;G. Csurka

  • Assessing the aesthetic quality of photographs using generic image descriptors

    Luca Marchesotti;Florent Perronnin;Diane Larlus;Gabriela Csurka

  • Domain Adaptation for Visual Applications: A Comprehensive Survey

    Gabriela Csurka

  • R2D2: Repeatable and Reliable Detector and Descriptor.

    Jérôme Revaud;Philippe Weinzaepfel;César Roberto de Souza;Noé Pion

  • A Comprehensive Survey on Domain Adaptation for Visual Applications

    Gabriela Csurka

  • A framework for visual saliency detection with applications to image thumbnailing

    Luca Marchesotti;Claudio Cifarelli;Gabriela Csurka

  • Metric learning for large scale image classification: generalizing to new classes at near-zero cost

    Thomas Mensink;Jakob Verbeek;Florent Perronnin;Gabriela Csurka

  • Domain adaptation in computer vision applications

    Gabriela Csurka

  • Adapted Vocabularies for Generic Visual Categorization

    Florent Perronnin;Christopher Dance;Gabriela Csurka;Marco Bressan

  • 3-D Reconstruction of Urban Scenes from Image Sequences

    Olivier Faugeras;Luc Robert;Stéphane Laveau;Gabriella Csurka

  • Template based recovery of Fourier-based watermarks using log-polar and log-log maps

    S. Pereira;J.J.K.O. Ruanaidh;F. Deguillaume;G. Csurka

  • CLASSEMENT D'IMAGES FONDE SUR DES CONCEPTS ABSTRAITS

    Skaff Sandra;Marchesotti Luca;Csurka Gabriela

  • Robust 3D DFT Video Watermarking

    Frédéric Deguillaume;Gabriela Otilia Csurka;Joséph John O'Ruanaidh;Thierry Pun

  • Characterizing the uncertainty of the fundamental matrix

    Gabriella Csurka;Cyril Zeller;Zhengyou Zhang;Olivier D. Faugeras

  • Framework for image thumbnailing based on visual similarity

    Luca Marchesotti;Claudio Cifarelli;Gabriela Csurka

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Gabriela Csurka;Diane Larlus;Dima Damen

  • A comparison of projective reconstruction methods for pairs of views

    C. Rothwell;G. Csurka;O. Faugeras

  • An Efficient Approach to Semantic Segmentation

    Gabriela Csurka;Florent Perronnin

  • Deep Visual Domain Adaptation

    Gabriela Csurka

  • Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

    Michael Wray;Diane Larlus;Gabriela Csurka;Dima Damen

Frequent Co-Authors

Jakob Verbeek
Jakob Verbeek Facebook AI Research (FAIR) in Paris
Thierry Pun
Thierry Pun University of Geneva
Liming Chen
Liming Chen École Centrale de Lyon
Robert S. Laramee
Robert S. Laramee University of Nottingham
Julian McAuley
Julian McAuley University of California, San Diego
Jorma Laaksonen
Jorma Laaksonen Aalto University
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne
John Shawe-Taylor
John Shawe-Taylor University College London
Peter Auer
Peter Auer University of Leoben

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