Enrique Vidal
Impact in
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- Handwritten Text Recognition Techniques
- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
- Image Retrieval and Classification Techniques
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Topic Modeling
- Algorithms and Data Compression
- Machine Learning and Algorithms
Papers in
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- Natural Language Processing Techniques 101
- Topic Modeling 42
- Algorithms and Data Compression 34
- Machine Learning and Algorithms 26
- Speech and dialogue systems 23
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- Handwritten Text Recognition Techniques 84
- Image Processing and 3D Reconstruction 23
- Co-authors
- Alejandro H. Toselli (68 shared papers)Francisco Casacuberta (42 shared papers)Roberto Paredes (10 shared papers)Verónica Romero (38 shared papers)Andrés Marzal (5 shared papers)José Oncina (8 shared papers)Pedro García (3 shared papers)Alfons Juan (18 shared papers)
In The Last Decade
Enrique Vidal
208 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 131
- Computer Vision and Pattern Recognition 1.9k
- Artificial Intelligence 2.5k
- Signal Processing 640
- Human-Computer Interaction 156
- Media Technology 213
Countries citing papers authored by Enrique Vidal
This map shows the geographic impact of Enrique Vidal'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 Enrique Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrique Vidal more than expected).
Fields of papers citing papers by Enrique Vidal
This network shows the impact of papers produced by Enrique Vidal. 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 Enrique Vidal. The network helps show where Enrique Vidal may publish in the future.
Co-authors
The 25 scholars most cited alongside Enrique Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 198 | |
| 2 | 2005 | 178 | |
| 3 | 1994 | 168 | |
| 4 | 1994 | 146 | |
| 5 | 2008 | 141 | |
| 6 | 2006 | 120 | |
| 7 | 1993 | 104 | |
| 8 | 2004 | 101 | |
| 9 | 1990 | 100 | |
| 10 | 2004 | 85 | |
| 11 | 2002 | 74 | |
| 12 | 2012 | 63 | |
| 13 | 2005 | 60 | |
| 14 | 2009 | 58 | |
| 15 | 2016 | 54 | |
| 16 | 1999 | 51 | |
| 17 | 2013 | 51 | |
| 18 | 2019 | 51 | |
| 19 | 2000 | 50 | |
| 20 | 2002 | 50 |
About Enrique Vidal
Enrique Vidal is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Human-Computer Interaction, having authored 218 papers that have together received 4.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (101 papers), Handwritten Text Recognition Techniques (84 papers), Topic Modeling (42 papers), Algorithms and Data Compression (34 papers), Machine Learning and Algorithms (26 papers), Speech and dialogue systems (23 papers), Music and Audio Processing (23 papers) and Image Processing and 3D Reconstruction (23 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Artificial Intelligence (2.5k citations), Signal Processing (640 citations), Human-Computer Interaction (156 citations) and Media Technology (213 citations). Enrique Vidal has collaborated with scholars based in Spain, Denmark and Germany. Frequent co-authors include Alejandro H. Toselli, Francisco Casacuberta, Roberto Paredes, Verónica Romero, Andrés Marzal, José Oncina, Pedro García, Alfons Juan, Joan Andreu Sánchez and Hermann Ney. Their work appears in journals such as Pattern Recognition Letters, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, Neural Computing and Applications and Pattern Analysis and Applications.
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.