Joel A. Tropp
Impact in
- Computational Mathematics top 0.2%
- Computational Mechanics top 0.01%
- Sparse and Compressive Sensing Techniques
Papers in
-
- Sparse and Compressive Sensing Techniques 51
- Co-authors
- Anna C. GilbertDeanna NeedellPer‐Gunnar MartinssonNathan HalkoStephen J. WrightMartin J. StraussInderjit S. DhillonMarco F. Duarte
- Journals
- IEEE Transactions on Information Theory (7 papers)SIAM Journal on Matrix Analysis and Applications (6 papers)Magnetic Resonance in Medicine (3 papers)Applied and Computational Harmonic Analysis (3 papers)Probability Theory and Related Fields (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Joel A. Tropp
94 papers receiving 21.1k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Computational Mathematics 407
- Computational Mechanics 14.1k
- Signal Processing 5.6k
- Acoustics and Ultrasonics 461
- Computer Vision and Pattern Recognition 5.1k
Countries citing papers authored by Joel A. Tropp
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 15 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 51 | |
| 6 | 2020 | 60 | |
| 7 | 2013 | 169 | |
| 8 | Sharp recovery bounds for convex deconvolution, with applications | 2012 | 17 |
| 9 | Factoring nonnegative matrices with linear programs | 2012 | 83 |
| 10 | 2012 | 22 | |
| 11 | Practical Large-Scale Optimization for Max-norm Regularization | 2010 | 79 |
| 12 | 2009 | 40 | |
| 13 | 2009 | 105 | |
| 14 | CoSaMP: Iterative signal recovery from incomplete and inaccurate samples Hit paper breakdown → | 2008 | 2807 |
| 15 | 2007 | 125 | |
| 16 | 2007 | 108 | |
| 17 | Triangle Fixing Algorithms for the Metric Nearness Problem | 2004 | 4 |
| 18 | Just relax: Convex programming methods for subset selection and sparse approximation | 2004 | 51 |
| 19 | 1995 | 15 | |
| 20 | 1989 | 12 |
About Joel A. Tropp
Joel A. Tropp is a scholar working on Computational Mathematics, Computational Mechanics, Signal Processing, Numerical Analysis and Applied Mathematics, having authored 97 papers that have together received 22.2k 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), Mathematical Analysis and Transform Methods (10 papers), Advanced Optimization Algorithms Research (10 papers) and Stochastic Gradient Optimization Techniques (10 papers). The work is most often cited by research in Computational Mathematics (407 citations), Computational Mechanics (14.1k citations), Signal Processing (5.6k citations), Acoustics and Ultrasonics (461 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, Marco F. Duarte, Richard G. Baraniuk 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 Probability Theory and Related Fields.
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.