Ruben Villegas
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering
- Signal Processing
- Biomedical Engineering
- Co-authors
- Honglak LeeEnrique OrtizMubarak ShahAfshin DehghanDavid HaIan FischerTimothy LillicrapJames Davidson
- Topics
- Human Pose and Action Recognition (3 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Fluid Dynamics and Mixing (1 paper)
- Journals
- arXiv (Cornell University)Journal of International Crisis and Risk Communication ResearchInternational Conference on Machine Learning
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Ruben Villegas
6 papers receiving 290 citations
Peers
Comparison fields: 5 of 55
- Computer Vision and Pattern Recognition 212
- Artificial Intelligence 98
- Control and Systems Engineering 49
- Signal Processing 43
- Biomedical Engineering 15
Countries citing papers authored by Ruben Villegas
This map shows the geographic impact of Ruben 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 Ruben Villegas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruben Villegas more than expected).
Fields of papers citing papers by Ruben Villegas
This network shows the impact of papers produced by Ruben 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 Ruben Villegas. The network helps show where Ruben Villegas may publish in the future.
Co-authorship network of co-authors of Ruben Villegas
This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Villegas. A scholar is included among the top collaborators of Ruben 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 Ruben Villegas. Ruben 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 | 25 | |
| 2 | Hierarchical Long-term Video Prediction without Supervision | 26 |
| 3 | 99 | |
| 4 | Decomposing Motion and Content for Natural Video Sequence Prediction | 60 |
| 5 | 84 | |
| 6 | 7 |
About Ruben Villegas
Ruben Villegas is a scholar working on Computer Vision and Pattern Recognition, Archeology and Ocean Engineering, having authored 6 papers that have together received 301 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Fluid Dynamics and Mixing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Signal Processing (43 citations) and Artificial Intelligence (98 citations). Ruben Villegas has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Honglak Lee, Enrique Ortiz, Mubarak Shah, Afshin Dehghan, David Ha, Ian Fischer, Timothy Lillicrap, James Davidson, Danijar Hafner and Seunghoon Hong. Their work appears in journals such as arXiv (Cornell University), Journal of International Crisis and Risk Communication Research and International Conference on Machine Learning.
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.