Emmanuel J. Candès

112.7k total citations · 28 hit papers
158 papers, 71.8k citations indexed

About

Emmanuel J. Candès is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Emmanuel J. Candès has authored 158 papers receiving a total of 71.8k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Computational Mechanics, 47 papers in Computer Vision and Pattern Recognition and 30 papers in Artificial Intelligence. Recurrent topics in Emmanuel J. Candès's work include Sparse and Compressive Sensing Techniques (63 papers), Image and Signal Denoising Methods (34 papers) and Statistical Methods and Inference (21 papers). Emmanuel J. Candès is often cited by papers focused on Sparse and Compressive Sensing Techniques (63 papers), Image and Signal Denoising Methods (34 papers) and Statistical Methods and Inference (21 papers). Emmanuel J. Candès collaborates with scholars based in United States, France and China. Emmanuel J. Candès's co-authors include Terence Tao, Michael B. Wakin, Justin Romberg, David L. Donoho, Benjamin Recht, Justin Romberg, Jian‐Feng Cai, Zuowei Shen, Stephen Boyd and Yi Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Emmanuel J. Candès

149 papers receiving 67.9k citations

Hit Papers

Robust uncertainty principles: exact signal reconstructio... 1999 2026 2008 2017 2006 2008 2005 2006 2006 2.5k 5.0k 7.5k 10.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
    2006 10.6k citations Emmanuel J. Candès et al. IEEE Transactions on Information Theory profile →
  2. An Introduction To Compressive Sampling
    2008 7.0k citations Emmanuel J. Candès et al. profile →
  3. Decoding by Linear Programming
    2005 4.6k citations Emmanuel J. Candès et al. IEEE Transactions on Information Theory profile →
  4. Stable signal recovery from incomplete and inaccurate measurements
    2006 4.6k citations Emmanuel J. Candès et al. profile →
  5. Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
    2006 4.6k citations Emmanuel J. Candès et al. IEEE Transactions on Information Theory profile →
  6. Robust principal component analysis?
    2011 4.5k citations Emmanuel J. Candès et al. profile →
  7. A Singular Value Thresholding Algorithm for Matrix Completion
    2010 4.0k citations Emmanuel J. Candès et al. profile →
  8. Enhancing Sparsity by Reweighted ℓ 1 Minimization
    2008 3.4k citations Emmanuel J. Candès, Stephen Boyd et al. profile →
  9. Exact Matrix Completion via Convex Optimization
    2009 3.1k citations Emmanuel J. Candès et al. profile →
  10. The restricted isometry property and its implications for compressed sensing
    2008 2.4k citations Emmanuel J. Candès profile →
  11. Fast Discrete Curvelet Transforms
    2006 1.9k citations Emmanuel J. Candès, Laurent Demanet et al. profile →
  12. The curvelet transform for image denoising
    2002 1.6k citations Emmanuel J. Candès et al. profile →
  13. Sparsity and incoherence in compressive sampling
    2007 1.4k citations Emmanuel J. Candès et al. Inverse Problems profile →
  14. The Power of Convex Relaxation: Near-Optimal Matrix Completion
    2010 1.2k citations Emmanuel J. Candès et al. IEEE Transactions on Information Theory profile →
  15. Matrix Completion With Noise
    2010 1.0k citations Emmanuel J. Candès et al. profile →
  16. New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities
    2003 1.0k citations Emmanuel J. Candès, David L. Donoho profile →
  17. Curvelets: A Surprisingly Effective Nonadaptive Representation for Objects with Edges
    2000 989 citations Emmanuel J. Candès, David L. Donoho profile →
  18. PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming
    2012 646 citations Emmanuel J. Candès et al. profile →
  19. Ridgelets: a key to higher-dimensional intermittency?
    1999 570 citations Emmanuel J. Candès, David L. Donoho profile →
  20. Exact matrix completion via convex optimization
    2012 560 citations Emmanuel J. Candès et al. profile →
  21. Compressed sensing with coherent and redundant dictionaries
    2010 532 citations Emmanuel J. Candès et al. profile →
  22. 11-magic : Recovery of sparse signals via convex programming
    2005 530 citations Emmanuel J. Candès profile →
  23. Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components
    2014 473 citations Emmanuel J. Candès et al. profile →
  24. Adaptive Restart for Accelerated Gradient Schemes
    2013 396 citations Emmanuel J. Candès et al. profile →
  25. Templates for convex cone problems with applications to sparse signal recovery
    2011 356 citations Emmanuel J. Candès et al. profile →
  26. A Probabilistic and RIPless Theory of Compressed Sensing
    2011 333 citations Emmanuel J. Candès et al. IEEE Transactions on Information Theory profile →
  27. Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection
    2018 302 citations Emmanuel J. Candès, Yingying Fan et al. Journal of the Royal Statistical Society Series B (Statistical Methodology) profile →
  28. Conformal prediction beyond exchangeability
    2023 76 citations Rina Foygel Barber, Emmanuel J. Candès et al. profile →

Peers

Emmanuel J. Candès
Comparison fields: 5 of 208
  • Computational Mechanics 41.4k
  • Computer Vision and Pattern Recognition 24.6k
  • Biomedical Engineering 17.8k
  • Signal Processing 13.2k
  • Electrical and Electronic Engineering 10.5k
Replace David L. Donoho with:
David L. Donoho United States
Richard G. Baraniuk United States
Stephen Boyd United States
Michael Elad Israel
Terence Tao United States
Stéphane Mallat France
Yonina C. Eldar Israel
Stanley Osher United States
Lei Zhang China
Shuicheng Yan China
David L. Donoho United States View profile →
Citations per field, relative to Emmanuel J. Candès
Emmanuel J. Candès · 1×
Citations per year, relative to Emmanuel J. Candès
Emmanuel J. Candès · 1×

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel J. Candès. A scholar is included among the top collaborators of Emmanuel J. Candès based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emmanuel J. Candès. Emmanuel J. Candès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1
Overparameterized ReLU Neural Networks Learn the Simplest Model: Neural Isometry and Phase Transitions
2025 ·IEEE Transactions on Information Theory ·(unknown), (unknown), Emmanuel J. Candès, Mert Pilancı
0
2
Conformal prediction with conditional guarantees
2025 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·(unknown), (unknown), Emmanuel J. Candès
3
3
s1: Simple test-time scaling
2025 ·Niklas Muennighoff, (unknown), Weijia Shi, (unknown), Feifei Li, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
5
4
Model-free selective inference under covariate shift via weighted conformal p -values
2025 ·Biometrika ·Ying Jin, Emmanuel J. Candès
0
5
De Finetti’s theorem and related results for infinite weighted exchangeable sequences
2024 ·Bernoulli ·Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, Ryan J. Tibshirani
2
6
Permutation Tests Using Arbitrary Permutation Distributions
2023 ·Sankhya A ·Aaditya Ramdas, Rina Foygel Barber, Emmanuel J. Candès, Ryan J. Tibshirani
4
7
Tractable Evaluation of Stein's Unbiased Risk Estimate With Convex Regularizers
2023 ·IEEE Transactions on Signal Processing ·(unknown), Emmanuel J. Candès, Stephen Boyd
4
8
Searching for robust associations with a multi-environment knockoff filter
2021 ·Biometrika ·(unknown), Matteo Sesia, (unknown), Emmanuel J. Candès, Chiara Sabatti
9
9
False discovery rate control in genome-wide association studies with population structure
2021 ·Proceedings of the National Academy of Sciences ·Matteo Sesia, Stephen Bates, Emmanuel J. Candès, Jonathan Marchini, Chiara Sabatti
43
10
Multi-resolution localization of causal variants across the genome
2020 ·Nature Communications ·Matteo Sesia, Eugene Katsevich, Stephen Bates, Emmanuel J. Candès, Chiara Sabatti
39
11
Causal inference in genetic trio studies
2020 ·Proceedings of the National Academy of Sciences ·Stephen Bates, Matteo Sesia, Chiara Sabatti, Emmanuel J. Candès
23
12
Achieving Equalized Odds by Resampling Sensitive Attributes
2020 ·arXiv (Cornell University) ·Yaniv Romano, Stephen Bates, Emmanuel J. Candès
1
13
Holographic phase retrieval and reference design
2019 ·Inverse Problems ·(unknown), Ju Sun, (unknown), Thomas J. Lane, Emmanuel J. Candès
22
14
Deep Knockoffs
2019 ·Journal of the American Statistical Association ·Yaniv Romano, Matteo Sesia, Emmanuel J. Candès
60
15
Panning for Gold: ‘Model-X’ Knockoffs for High Dimensional Controlled Variable Selection breakdown →
2018 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Emmanuel J. Candès, Yingying Fan, Lucas Janson, Jinchi Lv
302
16
Controlling the Rate of GWAS False Discoveries
2016 ·Genetics ·(unknown), Christine B. Peterson, (unknown), Emmanuel J. Candès, Małgorzata Bogdan, Chiara Sabatti
76
17
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights
2014 ·Neural Information Processing Systems ·Weijie Su, Stephen Boyd, Emmanuel J. Candès
68
18
The power of convex relaxation: the surprising stories of matrix completion and compressed sensing
2010 ·Symposium on Discrete Algorithms ·Emmanuel J. Candès
1
19
Continuous Curvelet Transform: I. Resolution of the Wavefront Set
2005 ·CaltechAUTHORS (California Institute of Technology) ·Emmanuel J. Candès, David L. Donoho
173
20
3D discrete curvelet transform
2005 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Lexing Ying, Laurent Demanet, Emmanuel J. Candès
121

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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