Stephen Becker
Impact in
- Computational Mathematics top 2%
- Acoustics and Ultrasonics top 2%
Papers in
-
- Sparse and Compressive Sensing Techniques 25
- Co-authors
- Emmanuel J. Candès (7 shared papers)Jérôme Bobin (1 shared paper)Steven T. Flammia (1 shared paper)Jens Eisert (1 shared paper)David R Gross (1 shared paper)Yi-Kai Liu (1 shared paper)Robert J. Bodnar (4 shared papers)Yann LeCun (1 shared paper)
- Journals
- Vision Research (2 papers)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2 papers)Journal of Computational Physics (2 papers)Journal of Computational and Graphical Statistics (2 papers)Physical Review Letters (2 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Stephen Becker
58 papers receiving 2.9k citations
Stephen Becker's Hit Papers
Peers
Comparison fields: 5 of 124
- Computational Mathematics 71
- Acoustics and Ultrasonics 62
- Computational Mechanics 1.1k
- Artificial Intelligence 1.1k
- Signal Processing 324
Countries citing papers authored by Stephen Becker
This map shows the geographic impact of Stephen Becker'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 Stephen Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Becker more than expected).
Fields of papers citing papers by Stephen Becker
This network shows the impact of papers produced by Stephen Becker. 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 Stephen Becker. The network helps show where Stephen Becker may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Quantum State Tomography via Compressed Sensing Hit paper breakdown → | 2010 | 740 |
| 2 | NESTA: A Fast and Accurate First-Order Method for Sparse Recovery Hit paper breakdown → | 2009 | 702 |
| 3 | Improving the convergence of back-propagation learning with second-order methods | 1989 | 229 |
| 4 | 2014 | 206 | |
| 5 | 2010 | 201 | |
| 6 | 2008 | 151 | |
| 7 | 2012 | 110 | |
| 8 | 2007 | 108 | |
| 9 | 2022 | 90 | |
| 10 | 2012 | 65 | |
| 11 | 2012 | 64 | |
| 12 | 2012 | 49 | |
| 13 | Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means | 2017 | 45 |
| 14 | Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch | 2018 | 41 |
| 15 | A variational approach to stable principal component pursuit | 2014 | 29 |
| 16 | 2019 | 24 | |
| 17 | 2019 | 22 | |
| 18 | 2013 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2004 | 13 |
About Stephen Becker
Stephen Becker is a scholar working on Computational Mechanics, Statistics and Probability, Artificial Intelligence, Computational Mathematics and Computational Theory and Mathematics, having authored 63 papers that have together received 3.1k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (25 papers), Stochastic Gradient Optimization Techniques (8 papers), Tensor decomposition and applications (5 papers), Blind Source Separation Techniques (4 papers), Microwave Imaging and Scattering Analysis (4 papers), Face and Expression Recognition (4 papers), Ultrasonics and Acoustic Wave Propagation (4 papers) and Quantum Information and Cryptography (4 papers). The work is most often cited by research in Computational Mathematics (71 citations), Acoustics and Ultrasonics (62 citations), Computational Mechanics (1.1k citations), Artificial Intelligence (1.1k citations) and Signal Processing (324 citations). Stephen Becker has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Emmanuel J. Candès, Jérôme Bobin, Steven T. Flammia, Jens Eisert, David R Gross, Yi-Kai Liu, Robert J. Bodnar, Yann LeCun, Volkan Cevher and Mark Schmidt. Their work appears in journals such as Vision Research, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Journal of Computational Physics, Journal of Computational and Graphical Statistics and Physical Review Letters.
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.