Emmanuel J. Candès
About
Emmanuel J. Candès has authored 152 papers that have received a total of 63.4k indexed citations.
This includes 70 papers in Computational Mechanics, 45 papers in Computer Vision and Pattern Recognition and 42 papers in Statistics and Probability. The topics of these papers are Sparse and Compressive Sensing Techniques (62 papers), Image and Signal Denoising Methods (31 papers) and Statistical Methods and Inference (31 papers). Emmanuel J. Candès is often cited by papers focused on Sparse and Compressive Sensing Techniques (62 papers), Image and Signal Denoising Methods (31 papers) and Statistical Methods and Inference (31 papers) and collaborates with scholars based in United States, France and Israel. Emmanuel J. Candès's co-authors include David L. Donoho, Chiara Sabatti, Matteo Sesia, Rina Foygel Barber and Terence Tao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association
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