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D-Index & Metrics

Computer Science

D-Index
34
Citations
7905
World Ranking
11939
National Ranking
210

Dimosthenis Karatzas 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 Dimosthenis Karatzas 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: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Dimosthenis Karatzas 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 Dimosthenis Karatzas 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Dimosthenis Karatzas is affiliated with the Autonomous University of Barcelona in Spain. Their research primarily focuses on the field of Computer Science, with specific contributions to Computer Vision and Pattern Recognition, Artificial Intelligence, and related subfields.

Their recent publications include a variety of works spanning topics like visual question answering, multimodal transformers, and image captioning. Notable papers are:

  • InfographicVQA, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Hierarchical multimodal transformers for Multipage DocVQA, 2023, Pattern Recognition
  • Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • Real-time Lexicon-free Scene Text Retrieval, 2020, Pattern Recognition

Frequent collaborators in Dimosthenis Karatzas' work include Ernest Valveny, Lluís Gómez, Ali Furkan Biten, Rubèn Tito, and C. V. Jawahar, indicating ongoing research partnerships in related domains.

Their publication record shows repeated contributions to several key venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Pattern Recognition
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture notes in computer science

Dimosthenis Karatzas has produced research work that touches on multiple specialized topics within computer science:

  • Multimodal Machine Learning Applications
  • Handwritten Text Recognition Techniques
  • Advanced Image and Video Retrieval Techniques
  • Topic Modeling
  • Natural Language Processing Techniques
  • Video Analysis and Summarization
  • Domain Adaptation and Few-Shot Learning

This combination of areas reflects a focus on integrating machine learning approaches with vision and language data, as well as working on improving recognition, retrieval, and summarization technologies.

Best Publications

  • ICDAR 2015 competition on Robust Reading

    Dimosthenis Karatzas;Lluis Gomez-Bigorda;Anguelos Nicolaou;Suman Ghosh

  • ICDAR 2013 Robust Reading Competition

    Dimosthenis Karatzas;Faisal Shafait;Seiichi Uchida;Masakazu Iwamura

  • ICDAR2017 Robust Reading Challenge on Multi-Lingual Scene Text Detection and Script Identification - RRC-MLT

    Nibal Nayef;Fei Yin;Imen Bizid;Hyunsoo Choi

  • DocVQA: A Dataset for VQA on Document Images

    Minesh Mathew;Dimosthenis Karatzas;C. V. Jawahar

  • ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

    Zheng Huang;Kai Chen;Jianhua He;Xiang Bai

  • ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019

    Nibal Nayef;Cheng-lin Liu;Jean-Marc Ogier;Yash Patel

  • ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text - RRC-ArT

    Chee Kheng Chng;Errui Ding;Jingtuo Liu;Dimosthenis Karatzas

  • Exploring Hate Speech Detection in Multimodal Publications

    Raul Gomez;Jaume Gibert;Lluis Gomez;Dimosthenis Karatzas

  • ICDAR 2011 Robust Reading Competition - Challenge 1: Reading Text in Born-Digital Images (Web and Email)

    D. Karatzas;S. Robles Mestre;J. Mas;F. Nourbakhsh

  • InfographicVQA

    Unknown

  • ICDAR 2019 Competition on Large-Scale Street View Text with Partial Labeling - RRC-LSVT

    Yipeng Sun;Dimosthenis Karatzas;Chee Seng Chan;Lianwen Jin

  • Good News, Everyone! Context Driven Entity-Aware Captioning for News Images

    Ali Furkan Biten;Lluis Gomez;Marcal Rusinol;Dimosthenis Karatzas

  • TextProposals: A text-specific selective search algorithm for word spotting in the wild

    Lluís Gómez;Dimosthenis Karatzas

  • Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces

    Lluis Gomez;Yash Patel;Marcal Rusinol;Dimosthenis Karatzas

  • ICDAR 2019 Robust Reading Challenge on Reading Chinese Text on Signboard

    Rui Zhang;Mingkun Yang;Xiang Bai;Baoguang Shi

  • Multi-script Text Extraction from Natural Scenes

    Unknown

  • Generation of synthetic documents for performance evaluation of symbol recognition & spotting systems

    Mathieu Delalandre;Ernest Valveny;Tony Pridmore;Dimosthenis Karatzas

  • Improving patch-based scene text script identification with ensembles of conjoined networks

    Lluis Gomez;Anguelos Nicolaou;Dimosthenis Karatzas

  • Document image analysis for World War II personal records

    A. Antonacopoulos;D. Karatzas

  • MSER-Based Real-Time Text Detection and Tracking

    Unknown

  • Sparse radial sampling LBP for writer identification

    Anguelos Nicolaou;Andrew D. Bagdanov;Marcus Liwicki;Dimosthenis Karatzas

  • Colour text segmentation in web images based on human perception

    D. Karatzas;A. Antonacopoulos

  • Knowledge-driven understanding of images in comic books

    Christophe Rigaud;Clément Guérin;Dimosthenis Karatzas;Jean-Christophe Burie

  • ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition -- RRC-MLT-2019

    Nibal Nayef;Yash Patel;Michal Busta;Pinaki Nath Chowdhury

Frequent Co-Authors

C. V. Jawahar
C. V. Jawahar International Institute of Information Technology, Hyderabad
Andrew D. Bagdanov
Andrew D. Bagdanov University of Florence
Josep Lladós
Josep Lladós Autonomous University of Barcelona
Errui Ding
Errui Ding Baidu (China)
Jiri Matas
Jiri Matas Czech Technical University in Prague
Lianwen Jin
Lianwen Jin South China University of Technology
Xiang Bai
Xiang Bai Huazhong University of Science and Technology
Shijian Lu
Shijian Lu Nanyang Technological University
Neil M. White
Neil M. White University of Southampton
Nicu Sebe
Nicu Sebe University of Trento

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