José A. Rodríguez-Serrano
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 10%
- Media Technology top 5%
- Signal Processing
- Information Systems
- Co-authors
- Florent PerronninAlbert GordoErnest ValvenyAna GordoaGemma SánchezGabriela CsurkaJosep LladósSameer Singh
- Topics
- Handwritten Text Recognition Techniques (7 papers)Advanced Image and Video Retrieval Techniques (6 papers)Image Retrieval and Classification Techniques (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE AccessPattern Recognition
- Partner nations
- FranceSpainUnited Kingdom
In The Last Decade
José A. Rodríguez-Serrano
18 papers receiving 464 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 417
- Artificial Intelligence 182
- Media Technology 82
- Signal Processing 35
- Information Systems 16
Countries citing papers authored by José A. Rodríguez-Serrano
This map shows the geographic impact of José A. Rodríguez-Serrano'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 José A. Rodríguez-Serrano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José A. Rodríguez-Serrano more than expected).
Fields of papers citing papers by José A. Rodríguez-Serrano
This network shows the impact of papers produced by José A. Rodríguez-Serrano. 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 José A. Rodríguez-Serrano. The network helps show where José A. Rodríguez-Serrano may publish in the future.
Co-authorship network of co-authors of José A. Rodríguez-Serrano
This figure shows the co-authorship network connecting the top 25 collaborators of José A. Rodríguez-Serrano. A scholar is included among the top collaborators of José A. Rodríguez-Serrano 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 José A. Rodríguez-Serrano. José A. Rodríguez-Serrano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 25 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 10 | |
| 6 | 68 | |
| 7 | 18 | |
| 8 | 30 | |
| 9 | 10 | |
| 10 | 71 | |
| 11 | 38 | |
| 12 | 10 | |
| 13 | 6 | |
| 14 | 12 | |
| 15 | 118 | |
| 16 | 20 | |
| 17 | 26 | |
| 18 | 10 |
About José A. Rodríguez-Serrano
José A. Rodríguez-Serrano is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 18 papers that have together received 491 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (417 citations), Media Technology (82 citations) and Artificial Intelligence (182 citations). José A. Rodríguez-Serrano has collaborated with scholars based in France, Spain and United Kingdom. Frequent co-authors include Florent Perronnin, Albert Gordo, Ernest Valveny, Ana Gordoa, Gemma Sánchez, Gabriela Csurka, Josep Lladós, Sameer Singh, Zhenwen Dai and Diane Larlus. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.
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.