Emmanuel J. Candès

155 papers and 65.0k indexed citations i.

About

Emmanuel J. Candès is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Emmanuel J. Candès has authored 155 papers receiving a total of 65.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computational Mechanics, 45 papers in Computer Vision and Pattern Recognition and 44 papers in Statistics and Probability. Recurrent topics in Emmanuel J. Candès’s work include Sparse and Compressive Sensing Techniques (62 papers), Statistical Methods and Inference (33 papers) and Image and Signal Denoising Methods (31 papers). Emmanuel J. Candès is often cited by papers focused on Sparse and Compressive Sensing Techniques (62 papers), Statistical Methods and Inference (33 papers) and Image and Signal Denoising Methods (31 papers). Emmanuel J. Candès collaborates with scholars based in United States, France and Israel. Emmanuel J. Candès's co-authors include Terence Tao, Michael B. Wakin, Justin Romberg, Benjamin Recht, David L. Donoho, Justin Romberg, Zuowei Shen, Jian‐Feng Cai, Stephen Boyd and Yi Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.

In The Last Decade

Co-authorship network of co-authors of Emmanuel J. Candès i

Fields of papers citing papers by Emmanuel J. Candès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emmanuel J. Candès. 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 Emmanuel J. Candès. The network helps show where Emmanuel J. Candès may publish in the future.

Countries citing papers authored by Emmanuel J. Candès

Since Specialization
Citations

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

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025