World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
5654
World Ranking
10777
National Ranking
173

Josep Lladós 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 Josep Lladós 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: 278 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Josep Lladós 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 Josep Lladós 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Josep Lladós is affiliated with the Autonomous University of Barcelona in Spain and has an extensive body of work in computer science, with a strong focus on computer vision and pattern recognition. Their research covers various aspects of artificial intelligence, cognitive neuroscience, media technology, and human-computer interaction, emphasizing the application of advanced techniques in image processing and document analysis.

The primary areas of study for Josep Lladós include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Media Technology
  • Human-Computer Interaction

The main topics explored by their work are:

  • Handwritten Text Recognition Techniques
  • Natural Language Processing Techniques
  • Topic Modeling
  • Advanced Image and Video Retrieval Techniques
  • Image Retrieval and Classification Techniques
  • Image Processing and 3D Reconstruction
  • Human Pose and Action Recognition

Josep Lladós has contributed to a variety of recent publications, including:

  • "DocEnTr: An End-to-End Document Image Enhancement Transformer," 2022, 26th International Conference on Pattern Recognition (ICPR)
  • "Beyond document object detection: instance-level segmentation of complex layouts," 2021, International Journal on Document Analysis and Recognition (IJDAR)
  • "Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Table detection in business document images by message passing networks," 2022, Pattern Recognition
  • "One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition," 2022, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The scientific collaborations of Josep Lladós include frequent partnerships with the following researchers:

  • Sanket Biswas
  • Umapada Pal
  • Alícia Fornés
  • Oriol Ramos Terrades
  • Pau Riba

Publications by Josep Lladós have appeared in notably recognized venues such as:

  • arXiv (Cornell University)
  • Lecture Notes in Computer Science
  • International Journal on Document Analysis and Recognition (IJDAR)
  • 26th International Conference on Pattern Recognition (ICPR)
  • Pattern Recognition

Best Publications

  • Symbol recognition by error-tolerant subgraph matching between region adjacency graphs

    J. Llados;E. Marti;J.J. Villanueva

  • Symbol Recognition: Current Advances and Perspectives

    Josep Lladós;Ernest Valveny;Gemma Sánchez;Enric Martí

  • Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval

    Sounak Dey;Pau Riba;Anjan Dutta;Josep Llados Llados

  • SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

    Sounak Dey;Anjan Dutta;J. Ignacio Toledo;Suman K. Ghosh

  • Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method

    Marcal Rusinol;David Aldavert;Ricardo Toledo;Josep Llados

  • Efficient segmentation-free keyword spotting in historical document collections

    Marçal Rusiñol;David Aldavert;Ricardo Toledo;Josep Lladós

  • The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

    VeróNica Romero;Alicia FornéS;NicoláS Serrano;Joan Andreu SáNchez

  • CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal

    Alicia Fornés;Anjan Dutta;Albert Gordo;Josep Lladós

  • Blurred Shape Model for binary and grey-level symbol recognition

    Sergio Escalera;Alicia Fornés;Oriol Pujol;Petia Radeva

  • Logo Spotting by a Bag-of-words Approach for Document Categorization

    Marçal Rusiñol;Josep Lladós

  • Table Detection in Invoice Documents by Graph Neural Networks

    Pau Riba;Anjan Dutta;Lutz Goldmann;Alicia Fornes

  • Integrating Visual and Textual Cues for Query-by-String Word Spotting

    David Aldavert;Marcal Rusinol;Ricardo Toledo;Josep Llados

  • Fuzzy multilevel graph embedding

    Muhammad Muzzamil Luqman;Jean-Yves Ramel;Josep Lladós;Thierry Brouard

  • Compact correlated features for writer independent signature verification

    Anjan Dutta;Umapada Pal;Josep Llados

  • Multi-Oriented and Multi-Sized Touching Character Segmentation Using Dynamic Programming

    Partha Pratim Roy;Umapada Pal;Josep Lladós;Mathieu Delalandre

  • A system to understand hand-drawn floor plans using subgraph isomorphism and Hough transform

    Josep Lladós;Jaime López-Krahe;Enric Martí

  • ON THE INFLUENCE OF WORD REPRESENTATIONS FOR HANDWRITTEN WORD SPOTTING IN HISTORICAL DOCUMENTS

    Josep Lladós;Marçal Rusiñol;Alicia Fornés;David Fernández

  • Multi-oriented Bangla and Devnagari text recognition

    Umapada Pal;Partha Pratim Roy;Nilamadhaba Tripathy;Josep Lladós

  • Writer Identification in Old Handwritten Music Scores

    A. Fornes;J. Llados;G. Sanchez;H. Bunke

  • The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification

    Alicia Fornes;Anjan Dutta;Albert Gordo;Josep Llados

Frequent Co-Authors

Alicia Fornés
Alicia Fornés Autonomous University of Barcelona
Umapada Pal
Umapada Pal Indian Statistical Institute
Partha Pratim Roy
Partha Pratim Roy Indian Institute of Technology Dhanbad
Horst Bunke
Horst Bunke University of Bern
Dimosthenis Karatzas
Dimosthenis Karatzas Autonomous University of Barcelona
Sergio Escalera
Sergio Escalera University of Barcelona
José A. Rodríguez
José A. Rodríguez Autonomous University of the State of Hidalgo
Petia Radeva
Petia Radeva University of Barcelona
Oriol Pujol
Oriol Pujol University of Barcelona
Réjean Plamondon
Réjean Plamondon Polytechnique Montréal

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