The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Emmanuel J. Candès sits on this spectrum.
This scientist: 195 publications — 60th percentile
60% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Emmanuel J. Candès sits on this spectrum.
This scientist: 103 D-Index — 99th percentile
99% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Emmanuel J. Candès is affiliated with Stanford University in the United States. Their research primarily spans the fields of Mathematics and Computer Science, with significant contributions also in subfields such as Statistics and Probability, Artificial Intelligence, Genetics, Molecular Biology, and areas concerning uncertainty in statistics. The scientist's work covers multiple topics, including Statistical Methods and Inference, Genetic Associations and Epidemiology, Advanced Causal Inference Techniques, Statistical Methods in Clinical Trials, Statistical Methods and Bayesian Inference, Machine Learning and Data Classification, and Machine Learning and Algorithms.
The scientist has published extensively in prominent venues. Frequent publication venues include arXiv (Cornell University) with 42 publications, The Annals of Statistics (6 publications), Proceedings of the National Academy of Sciences (4 publications), bioRxiv (Cold Spring Harbor Laboratory) (4 publications), and the Journal of the Royal Statistical Society Series B (Statistical Methodology) (3 publications).
Recent notable papers authored or coauthored by Emmanuel J. Candès include:
Collaboration is a key component of the scientist's work. Frequent coauthors include Chiara Sabatti, Rina Foygel Barber, Lihua Lei, Matteo Sesia, and Stephen Bates.
The scientist has been recognized with several awards over the course of their career. These include the Jack S. Kilby Signal Processing Medal in 2021 for contributions to compressed sensing, fellowship awards from the American Mathematical Society and IEEE in 2018 related to work in sparse and low-rank signal and image processing, and the National Science Foundation Alan T. Waterman Award for Mathematics in 2006. Additional honors include a Wald Memorial Lectureship in 2017, fellowship from the MacArthur Foundation in 2017, membership in the National Academy of Sciences and Fellow of the American Academy of Arts and Sciences awarded in 2014, the George Pólya Prize in 2010, and fellowship from the Alfred P. Sloan Foundation in 2001.
E.J. Candes;J. Romberg;T. Tao
E.J. Candes;M.B. Wakin
Emmanuel J. Candès;Xiaodong Li;Yi Ma;John Wright
E.J. Candes;T. Tao
Emmanuel J. Candès;Justin K. Romberg;Terence Tao
E.J. Candes;T. Tao
Emmanuel Candès;Benjamin Recht
Jian-Feng Cai;Emmanuel J. Candès;Zuowei Shen
Emmanuel J. Candès;Michael B. Wakin;Stephen P. Boyd
Emmanuel J. Candès
Emmanuel Candes;Terence Tao
Emmanuel J. Candès;Laurent Demanet;David L. Donoho;Lexing Ying
Jean-Luc Starck;E.J. Candes;D.L. Donoho
Emmanuel Candès;Justin Romberg
Emmanuel J. Candes;Michael B. Wakin;Stephen P. Boyd
Emmanuel J Candes;Terence Tao
Emmanuel J. Candes;David L. Donoho
Emmanuel J Candes;Yaniv Plan
Emmanuel J. Candès;David L. Donoho
Emmanuel J. Candes;Xiaodong Li;Mahdi Soltanolkotabi
E. Candes
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