Joan Puigcerver

1.6k total citations
19 papers, 329 citations indexed

About

Joan Puigcerver is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Joan Puigcerver has authored 19 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Joan Puigcerver's work include Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (13 papers) and Advanced Neural Network Applications (4 papers). Joan Puigcerver is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (13 papers) and Advanced Neural Network Applications (4 papers). Joan Puigcerver collaborates with scholars based in Spain, Switzerland and France. Joan Puigcerver's co-authors include Enrique Vidal, Alejandro H. Toselli, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Lucas Beyer, Alexander Kolesnikov, Jessica Yung, Konstantinos Zagoris and Ioannis Pratikakis and has published in prestigious journals such as Neural Computing and Applications, Pattern Analysis and Applications and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Joan Puigcerver

19 papers receiving 317 citations

Peers

Countries citing papers authored by Joan Puigcerver

Since Specialization

Citations

This map shows the geographic impact of Joan Puigcerver'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 Joan Puigcerver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Puigcerver more than expected).

Fields of papers citing papers by Joan Puigcerver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Puigcerver. 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 Joan Puigcerver. The network helps show where Joan Puigcerver may publish in the future.

Co-authorship network of co-authors of Joan Puigcerver

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Puigcerver. A scholar is included among the top collaborators of Joan Puigcerver 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 Joan Puigcerver. Joan Puigcerver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images 2024 ·Alejandro H. Toselli, Joan Puigcerver, Enrique Vidal	1
2	Lexicon-based probabilistic indexing of handwritten text images 2023 ·Neural Computing and Applications ·Enrique Vidal, Alejandro H. Toselli, Joan Puigcerver	2
3	Which Model to Transfer? Finding the Needle in the Growing Haystack 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Cédric Renggli, (unknown), (unknown), Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lučić	6
4	Large Scale Learning of General Visual Representations for Transfer. 2019 ·arXiv (Cornell University) ·Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby	26
5	The Visual Task Adaptation Benchmark 2019 ·arXiv (Cornell University) ·Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, (unknown), Carlos Riquelme, Mario Lučić, Josip Djolonga, (unknown), Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby	22
6	Probabilistic Indexing and Search for Information Extraction on Handwritten German Parish Records 2018 ·(unknown), Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	12
7	Probabilistic multi-word spotting in handwritten text images 2018 ·Pattern Analysis and Applications ·Alejandro H. Toselli, Enrique Vidal, Joan Puigcerver, (unknown)	14
8	Preparatory KWS Experiments for Large-Scale Indexing of a Vast Medieval Manuscript Collection in the HIMANIS Project 2017 ·SPIRE - Sciences Po Institutional REpository ·Théodore Bluche, (unknown), Christopher Kermorvant, Joan Puigcerver, Dominique Stutzmann, Alejandro H. Toselli, Enrique Vidal	17
9	Are Multidimensional Recurrent Layers Really Necessary for Handwritten Text Recognition? 2017 ·Joan Puigcerver	125
10	Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. 2016 ·CLEF (Working Notes) ·Mauricio Villegas, Joan Puigcerver, Alejandro H. Toselli, Joan Andreu Sánchez, Enrique Vidal	4
11	ICFHR2016 Handwritten Keyword Spotting Competition (H-KWS 2016) 2016 ·RiuNet (Politechnical University of Valencia) ·Ioannis Pratikakis, Konstantinos Zagoris, Basilis Gatos, Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	21
12	Querying out-of-vocabulary words in lexicon-based keyword spotting 2016 ·Neural Computing and Applications ·Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	10
13	Two Methods to Improve Confidence Scores for Lexicon-Free Word Spotting in Handwritten Text 2016 ·RiuNet (Politechnical University of Valencia) ·Alejandro H. Toselli, Joan Puigcerver, Enrique Vidal	10
14	High performance Query-by-Example keyword spotting using Query-by-String techniques 2015 ·Enrique Vidal, Alejandro H. Toselli, Joan Puigcerver	11
15	Probabilistic interpretation and improvements to the HMM-filler for handwritten keyword spotting 2015 ·Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	7
16	Context-aware lattice based filler approach for key word spotting in handwritten documents 2015 ·Alejandro H. Toselli, Joan Puigcerver, Enrique Vidal	6
17	ICDAR2015 Competition on Keyword Spotting for Handwritten Documents 2015 ·Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	23
18	Word-Graph-Based Handwriting Keyword Spotting of Out-of-Vocabulary Queries 2014 ·Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	4
19	Word-Graph and Character-Lattice Combination for KWS in Handwritten Documents 2014 ·Joan Puigcerver, Alejandro H. Toselli, Enrique Vidal	8

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.

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