The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where René Vidal sits on this spectrum.
This scientist: 341 publications — 80th percentile
80% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where René Vidal sits on this spectrum.
This scientist: 84 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
René Vidal is affiliated with the University of Pennsylvania in the United States. Their research focuses primarily within the field of Computer Science, with a significant number of publications spanning specific subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, and Cognitive Neuroscience.
Their work addresses a variety of topics, including Sparse and Compressive Sensing Techniques, Robotics and Sensor-Based Localization, Human Pose and Action Recognition, Multimodal Machine Learning Applications, Domain Adaptation and Few-Shot Learning, Autism Spectrum Disorder Research, and Adversarial Robustness in Machine Learning.
René Vidal has published extensively, including recent papers such as:
Their collaboration network includes frequent coauthors such as Benjamin D. Haeffele, Carolina Pacheco, Liangzu Peng, Bahar Tunçgenç, and Stewart H. Mostofsky.
René Vidal's work appears in a variety of publication venues, with multiple contributions to arXiv (Cornell University), the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Transactions on Pattern Analysis and Machine Intelligence, and IEEE Transactions on Biomedical Engineering, along with publications in SIAM Journal on Optimization.
In addition to research articles, they have contributed to academic book publishing. Notably, they authored a book titled Mathematical Aspects of Deep Learning, published by Cambridge University Press in 2022.
René Vidal's professional recognitions include a series of fellowships and awards: Fellow of the Indian National Academy of Engineering (2020), Fellow of the International Association for Pattern Recognition (2016) for contributions to computer vision and pattern recognition, IEEE Fellow (2014) for contributions to subspace clustering and motion segmentation in computer vision, the IAPR J. K. Aggarwal Prize (2012) for work on generalized principal component analysis and subspace clustering, and Fellowship from the Alfred P. Sloan Foundation (2009).
E. Elhamifar;R. Vidal
Colin Lea;Michael D. Flynn;Rene Vidal;Austin Reiter
Ehsan Elhamifar;Rene Vidal
R. Vidal;Yi Ma;S. Sastry
René Vidal
Colin Lea;René Vidal;Austin Reiter;Gregory D. Hager
Rizwan Chaudhry;Avinash Ravichandran;Gregory Hager;Rene Vidal
R. Tron;R. Vidal
R. Vidal;O. Shakernia;H.J. Kim;D.H. Shim
F. Ofli;R. Chaudhry;G. Kurillo;R. Vidal
René Vidal;Paolo Favaro
Simone Paoletti;Aleksandar Lj. Juloski;Giancarlo Ferrari-Trecate;René Vidal
Ehsan Elhamifar;Guillermo Sapiro;Rene Vidal
Ferda Ofli;Rizwan Chaudhry;Gregorij Kurillo;Rene Vidal
Chong You;Daniel P. Robinson;Rene Vidal
Ferda Ofli;Rizwan Chaudhry;Gregorij Kurillo;René Vidal
R. Vidal;S. Soatto;Yi Ma;S. Sastry
S Rao;R Tron;R Vidal;Yi Ma
Paolo Favaro;Rene Vidal;Avinash Ravichandran
Ehsan Elhamifar;René Vidal
R. Vidal;R. Hartley
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