David L. Donoho

150.9k total citations · 35 hit papers
227 papers, 101.0k citations indexed

About

David L. Donoho is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, David L. Donoho has authored 227 papers receiving a total of 101.0k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computer Vision and Pattern Recognition, 86 papers in Computational Mechanics and 36 papers in Signal Processing. Recurrent topics in David L. Donoho's work include Image and Signal Denoising Methods (101 papers), Sparse and Compressive Sensing Techniques (74 papers) and Blind Source Separation Techniques (30 papers). David L. Donoho is often cited by papers focused on Image and Signal Denoising Methods (101 papers), Sparse and Compressive Sensing Techniques (74 papers) and Blind Source Separation Techniques (30 papers). David L. Donoho collaborates with scholars based in United States, France and Israel. David L. Donoho's co-authors include Iain M. Johnstone, Michael A. Saunders, Michael Elad, Emmanuel J. Candès, John M. Pauly, Michael Lustig, Yaakov Tsaig, Jean‐Luc Starck, Andrea Montanari and Arian Maleki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

David L. Donoho

224 papers receiving 94.9k citations

Hit Papers

Compressed sensing 1989 2026 2001 2013 2006 2004 1995 1994 2007 5.0k 10.0k 15.0k

Peers

David L. Donoho
Comparison fields: 5 of 220
  • Computational Mechanics 45.1k
  • Computer Vision and Pattern Recognition 39.2k
  • Biomedical Engineering 20.8k
  • Signal Processing 18.4k
  • Media Technology 12.2k
Replace Emmanuel J. Candès with:
Emmanuel J. Candès United States
Stephen Boyd United States
Yann LeCun United States
Michael Elad Israel
Terence Tao United States
Richard G. Baraniuk United States
Bernhard Schölkopf Germany
Stéphane Mallat France
Stanley Osher United States
Andrew Zisserman United Kingdom
Emmanuel J. Candès United States View profile →
Citations per field, relative to David L. Donoho
David L. Donoho · 1×
Citations per year, relative to David L. Donoho
David L. Donoho · 1×

Countries citing papers authored by David L. Donoho

Since Specialization
Citations

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

Fields of papers citing papers by David L. Donoho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David L. Donoho. 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 David L. Donoho. The network helps show where David L. Donoho may publish in the future.

Co-authorship network of co-authors of David L. Donoho

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Donoho. A scholar is included among the top collaborators of David L. Donoho 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 David L. Donoho. David L. Donoho 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 0
2
Convolutional Imputation of Matrix Networks
2
3
The Optimal Hard Threshold for Singular Values is <inline-formula> <tex-math notation="TeX">\(4/\sqrt {3}\) </tex-math></inline-formula> breakdown →
374
4
Message-passing algorithms for compressed sensing breakdown →
1479
5 214
6 11
7 31
8
Sparse solution of underdetermined linear equations by stagewise orthogonal matching pursuit
253
9
Compressed sensing breakdown →
17347
10 173
11 5
12 82
13 44
14
Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay
22
15 254
16
Data compression and harmonic analysis (invited paper)
1
17 37
18
De-noising by soft-thresholding breakdown →
6868
19 43
20
Basis pursuit
313

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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