Ruben Villegas

2.1k total citations
6 papers, 301 citations indexed

About

Ruben Villegas is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanics of Materials. According to data from OpenAlex, Ruben Villegas has authored 6 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 1 paper in Control and Systems Engineering and 1 paper in Mechanics of Materials. Recurrent topics in Ruben Villegas's work include Human Pose and Action Recognition (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Fluid Dynamics and Mixing (1 paper). Ruben Villegas is often cited by papers focused on Human Pose and Action Recognition (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Fluid Dynamics and Mixing (1 paper). Ruben Villegas collaborates with scholars based in United States, Germany and United Kingdom. Ruben Villegas's co-authors include Honglak Lee, Enrique Ortiz, Mubarak Shah, Afshin Dehghan, Ian Fischer, David Ha, Danijar Hafner, James Davidson, Timothy Lillicrap and Xunyu Lin and has published in prestigious journals such as arXiv (Cornell University), Journal of International Crisis and Risk Communication Research and International Conference on Machine Learning.

In The Last Decade

Ruben Villegas

6 papers receiving 290 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ruben Villegas United States 6 212 98 49 43 15 6 301
Tobias Hinz Germany 7 302 1.4× 53 0.5× 21 0.4× 37 0.9× 4 0.3× 13 390
Xiaoyu Bie France 5 61 0.3× 102 1.0× 29 0.6× 68 1.6× 15 1.0× 6 222
Yael Vinker Israel 8 276 1.3× 67 0.7× 27 0.6× 19 0.4× 5 0.3× 11 372
Artsiom Sanakoyeu Germany 8 282 1.3× 66 0.7× 39 0.8× 25 0.6× 8 0.5× 13 324
Nupur Kumari United States 6 283 1.3× 111 1.1× 17 0.3× 24 0.6× 4 0.3× 14 395
Heewoo Jun United States 4 250 1.2× 160 1.6× 11 0.2× 63 1.5× 7 0.5× 4 366
Mahdi Abavisani United States 7 280 1.3× 112 1.1× 19 0.4× 35 0.8× 61 4.1× 10 370
Yuanlong Shao China 5 178 0.8× 179 1.8× 10 0.2× 17 0.4× 6 0.4× 7 354
N. Siddharth United Kingdom 9 269 1.3× 212 2.2× 15 0.3× 28 0.7× 23 1.5× 22 334
Minguk Kang South Korea 3 165 0.8× 76 0.8× 17 0.3× 16 0.4× 10 0.7× 7 246

Countries citing papers authored by Ruben Villegas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

6 of 6 papers shown
1.
Li, Jiaman, et al.. (2021). Task-Generic Hierarchical Human Motion Prior using VAEs. 771–781. 25 indexed citations
2.
Villegas, Ruben, et al.. (2018). Hierarchical Long-term Video Prediction without Supervision. International Conference on Machine Learning. 6038–6046. 26 indexed citations
3.
Hafner, Danijar, Timothy Lillicrap, Ian Fischer, et al.. (2018). Learning Latent Dynamics for Planning from Pixels. arXiv (Cornell University). 2555–2565. 99 indexed citations
4.
Villegas, Ruben, Shuicheng Yan, Seunghoon Hong, Xunyu Lin, & Honglak Lee. (2017). Decomposing Motion and Content for Natural Video Sequence Prediction. arXiv (Cornell University). 60 indexed citations
5.
Dehghan, Afshin, Enrique Ortiz, Ruben Villegas, & Mubarak Shah. (2014). Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders. Journal of International Crisis and Risk Communication Research. 84 indexed citations
6.
Villegas, Ruben, et al.. (2013). A New Analytical Model to Predict Gas Rate Volume Measurement Through Well Head Chokes. International Petroleum Technology Conference. 7 indexed citations

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.

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