Joan Andreu Sánchez
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- Handwritten Text Recognition Techniques 43
- Image Processing and 3D Reconstruction 22
- Image Retrieval and Classification Techniques 10
- Artificial Intelligence top 5%
- Natural Language Processing Techniques 50
- Topic Modeling 23
- Algorithms and Data Compression 11
- Speech and dialogue systems 8
- Media Technology top 5%
- Human-Computer Interaction top 10%
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- Music and Audio Processing 9
Joan Andreu Sánchez
66 papers receiving 769 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 623
- Artificial Intelligence 427
- Media Technology 104
- Human-Computer Interaction 37
- Computational Theory and Mathematics 105
Countries citing papers authored by Joan Andreu Sánchez
This map shows the geographic impact of Joan Andreu Sánchez'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 Andreu Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Andreu Sánchez more than expected).
Fields of papers citing papers by Joan Andreu Sánchez
This network shows the impact of papers produced by Joan Andreu Sánchez. 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 Andreu Sánchez. The network helps show where Joan Andreu Sánchez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joan Andreu Sánchez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 48 | |
| 6 | 2018 | 2 | |
| 7 | Overview of the ImageCLEF 2016 Handwritten Scanned Document Retrieval Task. | 2016 | 4 |
| 8 | 2015 | 3 | |
| 9 | 2014 | 26 | |
| 10 | UPV-PRHLT English--Spanish System for WMT10 | 2010 | 2 |
| 11 | The UPV-PRHLT Combination System for WMT 2010 | 2010 | 1 |
| 12 | Interactive Predictive Parsing using a Web-based Architecture | 2010 | 5 |
| 13 | Interactive predictive parsing framework for the Spanish language | 2010 | 0 |
| 14 | ITI-UPV system description for IWSLT 2010. | 2010 | 2 |
| 15 | Handwritten Text Recognition for Ancient Documents | 2010 | 6 |
| 16 | Statistical Confidence Measures for Probabilistic Parsing | 2009 | 2 |
| 17 | A hybrid language model based on stochastic context-free grammars | 2003 | 1 |
| 18 | Earley-based stochastic context-free grammar estimation from bracketed corpora and its use in a hybrid languaje model | 2003 | 0 |
| 19 | 1999 | 5 | |
| 20 | 1993 | 8 |
About Joan Andreu Sánchez
Joan Andreu Sánchez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 78 papers that have together received 826 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (50 papers), Handwritten Text Recognition Techniques (43 papers), Topic Modeling (23 papers), Image Processing and 3D Reconstruction (22 papers), Algorithms and Data Compression (11 papers), Image Retrieval and Classification Techniques (10 papers), Music and Audio Processing (9 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (623 citations), Artificial Intelligence (427 citations) and Media Technology (104 citations). Joan Andreu Sánchez has collaborated with scholars based in Spain, Germany and Greece. Frequent co-authors include José-Miguel Benedí, Verónica Romero, Francisco Álvaro, Enrique Vidal, Alejandro H. Toselli, Mauricio Villegas, Alícia Fornés, Josep Lladós, Nicolás Serrano and Volkmar Frinken. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Information Sciences.
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.