World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
7899
World Ranking
6557
National Ranking
52

Yannis Avrithis 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 Yannis Avrithis 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Yannis Avrithis 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 Yannis Avrithis 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

Yannis Avrithis is affiliated with the Institute of Advanced Research on Artificial Intelligence (IARAI) in Austria. Their research primarily focuses on the field of Computer Science, with a substantial emphasis on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their research contributions cover a range of topics including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Machine Learning and Data Classification
  • Human Pose and Action Recognition

Frequent publication venues for Yannis Avrithis include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Pattern Recognition
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Some recent papers authored or co-authored by Yannis Avrithis are:

  • All the attention you need: Global-local, spatial-channel attention for image retrieval, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • AlignMixup: Improving Representations By Interpolating Aligned Features, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Iterative label cleaning for transductive and semi-supervised few-shot learning, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Boosting vision transformers for image retrieval, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Opti-CAM: Optimizing saliency maps for interpretability, 2024, Computer Vision and Image Understanding

Yannis Avrithis has collaborated extensively with several researchers, including:

  • Bill Psomas
  • Κωνσταντίνος Καράντζαλος
  • Michalis Lazarou
  • Tania Stathaki
  • Ioannis Kakogeorgiou

Their scholarly output is marked by a focus on topics at the intersection of image retrieval, machine learning, and artificial intelligence. The work involves novel approaches to few-shot learning and enhanced interpretability in vision systems, as reflected in publication titles and thematic focus areas.

Best Publications

  • Label Propagation for Deep Semi-Supervised Learning

    Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Ondrej Chum

  • Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

    Filip Radenovic;Ahmet Iscen;Giorgos Tolias;Yannis Avrithis

  • Locally Optimized Product Quantization for Approximate Nearest Neighbor Search

    Yannis Kalantidis;Yannis Avrithis

  • Multimodal Saliency and Fusion for Movie Summarization Based on Aural, Visual, and Textual Attention

    Georgios Evangelopoulos;Athanasia Zlatintsi;Alexandros Potamianos;Petros Maragos

  • Semantic annotation of images and videos for multimedia analysis

    Stephan Bloehdorn;Kosmas Petridis;Carsten Saathoff;Nikos Simou

  • To Aggregate or Not to aggregate: Selective Match Kernels for Image Search

    Giorgos Tolias;Yannis Avrithis;Herve Jegou

  • Dense saliency-based spatiotemporal feature points for action recognition

    Konstantinos Rapantzikos;Yannis Avrithis;Stefanos Kollias

  • Semantic Image Segmentation and Object Labeling

    T. Athanasiadis;P. Mylonas;Y. Avrithis;S. Kollias

  • Dense Classification and Implanting for Few-Shot Learning

    Yann Lifchitz;Yannis Avrithis;Sylvaine Picard;Andrei Bursuc

  • Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

    Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Teddy Furon

  • Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images

    Giorgos Tolias;Yannis Avrithis;Hervé Jégou

  • Personalized Content Retrieval in Context Using Ontological Knowledge

    D. Vallet;P. Castells;M. Fernandez;P. Mylonas

  • Scalable triangulation-based logo recognition

    Yannis Kalantidis;Lluis Garcia Pueyo;Michele Trevisiol;Roelof van Zwol

  • Retrieving landmark and non-landmark images from community photo collections

    Yannis Avrithis;Yannis Kalantidis;Giorgos Tolias;Evaggelos Spyrou

  • What to Hide from Your Students: Attention-Guided Masked Image Modeling

    Unknown

  • Efficient summarization of stereoscopic video sequences

    N.D. Doulamis;A.D. Doulamis;Y.S. Avrithis;K.S. Ntalianis

  • A Stochastic Framework for Optimal Key Frame Extraction from MPEG Video Databases

    Yannis S Avrithis;Anastasios D Doulamis;Nikolaos D Doulamis;Stefanos D Kollias

  • Personalized information retrieval based on context and ontological knowledge

    Ph. Mylonas;D. Vallet;P. Castells;M. FernÁndez

  • VIRaL: Visual Image Retrieval and Localization

    Yannis Kalantidis;Giorgos Tolias;Yannis Avrithis;Marios Phinikettos

  • Mining on Manifolds: Metric Learning Without Labels

    Ahmet Iscen;Giorgos Tolias;Yannis Avrithis;Ondrej Chum

  • A stochastic framework for optimal key frame extraction from MPEG video databases

    N.D. Doulamis;A.D. Doulamis;Y. Avrithis;S.D. Kollias

  • Proceedings of the ACM International Conference on Image and Video Retrieval

    Yiannis Kompatsiaris;Stephane Marchand-Maillet;Yannis Avrithis;Noel O Connor

Frequent Co-Authors

Stefanos Kollias
Stefanos Kollias National Technical University of Athens
Ondrej Chum
Ondrej Chum Czech Technical University in Prague
Steffen Staab
Steffen Staab University of Stuttgart
Ioannis Kompatsiaris
Ioannis Kompatsiaris Information Technologies Institute, Greece
Noel E. O'Connor
Noel E. O'Connor Dublin City University
Pablo Castells
Pablo Castells Autonomous University of Madrid
Alan F. Smeaton
Alan F. Smeaton Dublin City University
Anastasios Doulamis
Anastasios Doulamis National Technical University of Athens
Nikolaos Doulamis
Nikolaos Doulamis National Technical University of Athens
Petros Maragos
Petros Maragos National Technical University of Athens

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