Joel A. Tropp

94 papers receiving 21.4k citations

Joel A. Tropp's Hit Papers

Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions 2011 · 2.2k citations
2.2k0+7+14Years since publication2.0k4.0k6.0k

Peers

Joel A. Tropp
Comparison fields: 5 of 179
  • Computational Mathematics 417
  • Computational Mechanics 14.2k
  • Signal Processing 5.6k
  • Acoustics and Ultrasonics 465
  • Computer Vision and Pattern Recognition 5.1k
Replace Terence Tao with:
Terence Tao United States
Michael B. Wakin United States
Yonina C. Eldar Israel
Wotao Yin United States
Justin Romberg United States
Michael A. Saunders United States
Robert D. Nowak United States
Richard G. Baraniuk United States
Michael Elad Israel
Benjamin Recht United States
Joel A. Tropp relative to Terence Tao United States Terence Tao's profile →
Citations per field
00.5×1.5×
Terence Tao · 1×
Citations per year

Countries citing papers authored by Joel A. Tropp

Since Specialization
Citations

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

Fields of papers citing papers by Joel A. Tropp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel A. Tropp. 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 Joel A. Tropp. The network helps show where Joel A. Tropp may publish in the future.

Co-authors

The 25 scholars most cited alongside Joel A. Tropp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joel A. Tropp Line = papers co-authored together Joel A. Tropp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
Hit paper breakdown →
20076850
2
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Hit paper breakdown →
20082840
3
Greed is Good: Algorithmic Results for Sparse Approximation
Hit paper breakdown →
20042381
4
Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
Hit paper breakdown →
20112211
5
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit
Hit paper breakdown →
2005981
6
Just relax: convex programming methods for identifying sparse signals in noise
Hit paper breakdown →
2006879
7
Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
Hit paper breakdown →
2010731
8
Computational Methods for Sparse Solution of Linear Inverse Problems
Hit paper breakdown →
2010727
9
Algorithms for simultaneous sparse approximation. Part II: Convex relaxation
Hit paper breakdown →
2005485
10
Designing structured tight frames via an alternating projection method
Hit paper breakdown →
2005358
11 2010264
12
ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION
2006234
13 2006201
14 2006197
15 2014186
16 2013173
17 2007166
18 2020154
19 2007153
20 2007125

About Joel A. Tropp

Joel A. Tropp is a scholar working on Computational Mechanics, Signal Processing, Applied Mathematics, Computational Theory and Mathematics and Biomedical Engineering, having authored 97 papers that have together received 22.5k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (51 papers), Blind Source Separation Techniques (20 papers), Microwave Imaging and Scattering Analysis (13 papers), Matrix Theory and Algorithms (13 papers), Image and Signal Denoising Methods (11 papers), Advanced Optimization Algorithms Research (10 papers), Stochastic Gradient Optimization Techniques (10 papers) and Mathematical Analysis and Transform Methods (10 papers). The work is most often cited by research in Computational Mathematics (417 citations), Computational Mechanics (14.2k citations), Signal Processing (5.6k citations), Acoustics and Ultrasonics (465 citations) and Computer Vision and Pattern Recognition (5.1k citations). Joel A. Tropp has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Anna C. Gilbert, Deanna Needell, Per‐Gunnar Martinsson, Nathan Halko, Stephen J. Wright, Martin J. Strauss, Inderjit S. Dhillon, Richard G. Baraniuk, Marco F. Duarte and Justin Romberg. Their work appears in journals such as IEEE Transactions on Information Theory, SIAM Journal on Matrix Analysis and Applications, Magnetic Resonance in Medicine, Applied and Computational Harmonic Analysis and Physics of Fluids.

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