José San Pedro
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Sociology and Political Science top 10%
- Information Systems and Management top 5%
- Co-authors
- Stefan SiersdorferSergiu ChelaruWolfgang NejdlNuria OliverMartin PielotTilman DinglerMark SandersonAlexandros Karatzoglou
- Topics
- Video Analysis and Summarization (9 papers)Advanced Image and Video Retrieval Techniques (6 papers)Image Retrieval and Classification Techniques (5 papers)
- Cited by
- Human-Computer InteractionInformation Systems and ManagementComputer Vision and Pattern Recognition
- Journals
- ACM Transactions on Information SystemsACM Transactions on the WebePrints Soton (University of Southampton)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
José San Pedro
18 papers receiving 644 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 237
- Computer Vision and Pattern Recognition 215
- Information Systems 206
- Sociology and Political Science 152
- Information Systems and Management 76
Countries citing papers authored by José San Pedro
This map shows the geographic impact of José San Pedro'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 San Pedro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José San Pedro more than expected).
Fields of papers citing papers by José San Pedro
This network shows the impact of papers produced by José San Pedro. 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 San Pedro. The network helps show where José San Pedro may publish in the future.
Co-authorship network of co-authors of José San Pedro
This figure shows the co-authorship network connecting the top 25 collaborators of José San Pedro. A scholar is included among the top collaborators of José San Pedro 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 San Pedro. José San Pedro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 147 | |
| 2 | 45 | |
| 3 | 31 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 201 | |
| 13 | 79 | |
| 14 | 82 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | Personalized Content Preparation and Delivery for Universal Multimedia Access | 2 |
| 20 | 1 |
About José San Pedro
José San Pedro is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management and Signal Processing, having authored 20 papers that have together received 673 indexed citations. Recurring topics across this work include Video Analysis and Summarization (9 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 Human-Computer Interaction (66 citations), Information Systems and Management (76 citations) and Computer Vision and Pattern Recognition (215 citations). José San Pedro has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Stefan Siersdorfer, Sergiu Chelaru, Wolfgang Nejdl, Nuria Oliver, Martin Pielot, Tilman Dingler, Mark Sanderson, Alexandros Karatzoglou, Tom Yeh and İsmail Sengör Altıngövde. Their work appears in journals such as ACM Transactions on Information Systems, ACM Transactions on the Web and ePrints Soton (University of Southampton).
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.