René Vidal

26.7k citations
220 papers · 15.2k · 10 hit papers · h-index 55

Impact in

Papers in

René Vidal

215 papers receiving 14.8k citations

René Vidal's Hit Papers

Temporal Convolutional Networks for Action Segmentation and Detection 2017 · 1.2k citations
1.2k0+8+16Years since publication50010001.5k2.0k

Peers

René Vidal
Comparison fields: 5 of 170
  • Computer Vision and Pattern Recognition 9.7k
  • Computational Mathematics 245
  • Media Technology 2.4k
  • Computational Mechanics 3.0k
  • Signal Processing 1.4k
Replace Xiaofei He with:
Xiaofei He China
Dong Xu China
Jian Yang China
Yong Xu China
Deng Cai China
Jiashi Feng Singapore
Yun Fu United States
Xinbo Gao China
Arvind Ganesh India
John Wright United States
René Vidal relative to Xiaofei He China Xiaofei He's profile →
Citations per field
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Xiaofei He · 1×
Citations per year

Countries citing papers authored by René Vidal

Since Specialization
Citations

This map shows the geographic impact of René Vidal'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 René Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Vidal more than expected).

Fields of papers citing papers by René Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by René Vidal. 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 René Vidal. The network helps show where René Vidal may publish in the future.

Co-authors

The 25 scholars most cited alongside René Vidal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with René Vidal Line = papers co-authored together René Vidal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 220 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Hit paper breakdown →
20132185
2
Temporal Convolutional Networks for Action Segmentation and Detection
Hit paper breakdown →
20171203
3
Sparse subspace clustering
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2009891
4
Generalized principal component analysis (GPCA)
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2005706
5
Subspace Clustering
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2011438
6
Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions
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2009415
7
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation
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2002377
8
Low rank subspace clustering (LRSC)
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2013338
9
Berkeley MHAD: A comprehensive Multimodal Human Action Database
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2013329
10 2012267
11 2007264
12 2009250
13
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit
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2016245
14 2011227
15 2013219
16 2004197
17 2017187
18 2017186
19 2016178
20 2014177

About René Vidal

René Vidal is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering, having authored 220 papers that have together received 15.2k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (46 papers), Advanced Vision and Imaging (45 papers), Face and Expression Recognition (34 papers), Human Pose and Action Recognition (27 papers), Robotics and Sensor-Based Localization (23 papers), Distributed Control Multi-Agent Systems (18 papers), Video Surveillance and Tracking Methods (18 papers) and Control Systems and Identification (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (9.7k citations), Computational Mathematics (245 citations), Media Technology (2.4k citations), Computational Mechanics (3.0k citations) and Signal Processing (1.4k citations). René Vidal has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ehsan Elhamifar, S. Shankar Sastry, Gregory D. Hager, Roberto Tron, Yi Ma, Colin Lea, Rizwan Chaudhry, Paolo Favaro, Yi Ma and M. D. Flynn. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Transactions on Automatic Control, IEEE Journal of Selected Topics in Signal Processing and IEEE Signal Processing Magazine.

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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