Paulo Villegas
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Signal Processing
- Information Systems
- Computer Graphics and Computer-Aided Design
- Co-authors
- Xavier MarichalXavier AmatriainMarius PredaRobert-Paul BerrettyGauthier LafruitChristopher AkikiAnna RogersLi-Qun Xu
- Topics
- Video Analysis and Summarization (7 papers)Image Retrieval and Classification Techniques (6 papers)Video Coding and Compression Technologies (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Partner nations
- SpainBelgiumNetherlands
In The Last Decade
Paulo Villegas
16 papers receiving 107 citations
Peers
Comparison fields: 5 of 30
- Computer Vision and Pattern Recognition 87
- Artificial Intelligence 28
- Signal Processing 27
- Information Systems 23
- Computer Graphics and Computer-Aided Design 8
Countries citing papers authored by Paulo Villegas
This map shows the geographic impact of Paulo Villegas'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 Paulo Villegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paulo Villegas more than expected).
Fields of papers citing papers by Paulo Villegas
This network shows the impact of papers produced by Paulo Villegas. 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 Paulo Villegas. The network helps show where Paulo Villegas may publish in the future.
Co-authorship network of co-authors of Paulo Villegas
This figure shows the co-authorship network connecting the top 25 collaborators of Paulo Villegas. A scholar is included among the top collaborators of Paulo Villegas 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 Paulo Villegas. Paulo Villegas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 23 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | MESH participation to TRECVID2008 HLFE | 5 |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | Personal Navigation in the World of News. | 1 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 41 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 2 |
About Paulo Villegas
Paulo Villegas is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 18 papers that have together received 115 indexed citations. Recurring topics across this work include Video Analysis and Summarization (7 papers), Image Retrieval and Classification Techniques (6 papers) and Video Coding and Compression Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (87 citations), Signal Processing (27 citations) and Computer Graphics and Computer-Aided Design (8 citations). Paulo Villegas has collaborated with scholars based in Spain, Belgium and Netherlands. Frequent co-authors include Xavier Marichal, Xavier Amatriain, Marius Preda, Robert-Paul Berretty, Gauthier Lafruit, Christopher Akiki, Anna Rogers, Li-Qun Xu, Francisco Morán and Yacine Jernite. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Pervasive Computing and The Visual Computer.
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.