Josep Lladós

4.7k total citations
150 papers, 2.2k citations indexed

About

Josep Lladós is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Josep Lladós has authored 150 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Computer Vision and Pattern Recognition, 36 papers in Artificial Intelligence and 22 papers in Signal Processing. Recurrent topics in Josep Lladós's work include Handwritten Text Recognition Techniques (89 papers), Advanced Image and Video Retrieval Techniques (60 papers) and Image Retrieval and Classification Techniques (55 papers). Josep Lladós is often cited by papers focused on Handwritten Text Recognition Techniques (89 papers), Advanced Image and Video Retrieval Techniques (60 papers) and Image Retrieval and Classification Techniques (55 papers). Josep Lladós collaborates with scholars based in Spain, India and France. Josep Lladós's co-authors include Alícia Fornés, Marçal Rusiñol, Umapada Pal, Anjan Dutta, Gemma Sánchez, Partha Pratim Roy, Ricardo Toledo, David Aldavert, Enric Martı́ and J.J. Villanueva and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Josep Lladós

141 papers receiving 2.0k citations

Peers

Josep Lladós

CVPR

GEOLO

Liu Ren United States

P. Nagabhushan India

Basilis Gatos Greece

Sam S. Tsai United States

John R. Kender United States

Jintao Li China

Swapan K. Parui India

Simone Marinai Italy

Dhruv Mahajan United States

Christopher R. Dance France

Liu Ren United States

Josep Lladós

896 ×0.5

CVPR

395 ×0.6

55 ×0.2

153 ×0.7

53 ×0.4

GEOLO

Citations per year, relative to Josep Lladós Josep Lladós (= 1×) peers Liu Ren

Countries citing papers authored by Josep Lladós

Since Specialization

Citations

This map shows the geographic impact of Josep Lladós's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Josep Lladós with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josep Lladós more than expected).

Fields of papers citing papers by Josep Lladós

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Josep Lladós. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Josep Lladós. The network helps show where Josep Lladós may publish in the future.

Co-authorship network of co-authors of Josep Lladós

This figure shows the co-authorship network connecting the top 25 collaborators of Josep Lladós. A scholar is included among the top collaborators of Josep Lladós based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Josep Lladós. Josep Lladós is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Biswas, Sanket, et al.. (2024). Diving into the Depths of Spotting Text in Multi-Domain Noisy Scenes. 410–417. 3 indexed citations

Fondevila-Gascón, Joan-Francesc, et al.. (2024). Blockchain, NFT y producción bajo demanda en el sector de la moda. Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona). 7(34). 83–93. 1 indexed citations

Biswas, Sanket, Ali Furkan Biten, Alícia Fornés, et al.. (2023). Text-DIAE: A Self-Supervised Degradation Invariant Autoencoder for Text Recognition and Document Enhancement. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2330–2338. 15 indexed citations

Riba, Pau, Anjan Dutta, Lutz Goldmann, et al.. (2019). Table Detection in Invoice Documents by Graph Neural Networks. Open Research Exeter (University of Exeter). 122–127. 32 indexed citations

Riba, Pau, Anjan Dutta, Josep Lladós, & Alícia Fornés. (2017). Graph-Based Deep Learning for Graphics Classification. Open Research Exeter (University of Exeter). 29–30. 6 indexed citations

Terrades, Oriol Ramos, et al.. (2016). Banknote Counterfeit Detection through Background Texture Printing Analysis. 66–71. 14 indexed citations

Wang, Peng, Véronique Églin, Christophe García, et al.. (2014). A Coarse-to-Fine Word Spotting Approach for Historical Handwritten Documents Based on Graph Embedding and Graph Edit Distance. 3074–3079. 16 indexed citations

Rusiñol, Marçal, David Aldavert, Ricardo Toledo, & Josep Lladós. (2014). Efficient segmentation-free keyword spotting in historical document collections. Pattern Recognition. 48(2). 545–555. 78 indexed citations

Rusiñol, Marçal, Dìmosthenis Karatzas, Josep Lladós, & Andrew D. Bagdanov. (2012). Multipage document retrieval by textual and visual representations. Florence Research (University of Florence). 12 indexed citations

10.

Rusiñol, Marçal, Lluís-Pere de las Heras, Joan Mas, et al.. (2012). CVC-UAB's participation in the Flowchart Recognition Task of CLEF-IP 2012. 4 indexed citations

11.

Luqman, Muhammad Muzzamil, Jean-Yves Ramel, Josep Lladós, & Thierry Brouard. (2011). Subgraph Spotting through Explicit Graph Embedding: An Application to Content Spotting in Graphic Document Images. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

12.

Fornés, Alícia, Anjan Dutta, Albert Gordo, & Josep Lladós. (2011). The ICDAR 2011 Music Scores Competition: Staff Removal and Writer Identification. 1511–1515. 31 indexed citations

13.

Luqman, Muhammad Muzzamil, Thierry Brouard, Jean-Yves Ramel, & Josep Lladós. (2010). A Content Spotting System For Line Drawing Graphic Document Images. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

14.

Escalera, Sérgio, Alícia Fornés, Oriol Pujol, Josep Lladós, & Petia Radeva. (2010). Circular Blurred Shape Model for Multiclass Symbol Recognition. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 41(2). 497–506. 25 indexed citations

15.

Lladós, Josep, Dìmosthenis Karatzas, Joan Mas, & Gemma Sánchez. (2008). A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives. JUCS - Journal of Universal Computer Science. 14. 2912–2935. 2 indexed citations

16.

Mas, Jordi, Bart Lamiroy, Gemma Sánchez, & Josep Lladós. (2006). Automatic learning of symbol descriptions avoiding topological ambiguities. 27–34. 2 indexed citations

17.

Liu, Wenyin & Josep Lladós. (2006). Graphics Recognition. Ten Years Review and Future Perspectives: 6th International Workshop, GREC 2005, Hong Kong, China, August 25-26, 2005, Revised Selected Papers (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations

18.

Fornés, Alícia, Josep Lladós, & Gemma Sánchez. (2005). Staff and graphical primitive segmentation in old handwritten music scores. 83–90. 3 indexed citations

19.

Dosch, Philippe & Josep Lladós. (2003). Vectorial Signatures for Symbol Discrimination. HAL (Le Centre pour la Communication Scientifique Directe).

20.

Lladós, Josep & Enric Martı́. (1999). A graph-edit algorithm for hand-drawn graphical document recognition and thier automatic introduction into CAD systems. 195–211. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact