Stephen R. Becker
Impact in
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- Thermodynamic properties of mixtures
- Computational Mechanics top 5%
- Sparse and Compressive Sensing Techniques
Papers in
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- Sparse and Compressive Sensing Techniques 4
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- Phase Equilibria and Thermodynamics 1
- Co-authors
- Michael C. Grant (1 shared paper)Emmanuel J. Candès (1 shared paper)Francis W. Starr (2 shared papers)Peter H. Poole (2 shared papers)Sergey V. Buldyrev (1 shared paper)H. Eugene Stanley (1 shared paper)Pradeep Kumar (1 shared paper)Simeng Chen (2 shared papers)
- Journals
- Mathematical Programming Computation (1 paper)Improving Schools (1 paper)Optics Express (1 paper)Journal of Biomedical Optics (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Stephen R. Becker
8 papers receiving 652 citations
Stephen R. Becker's Hit Papers
Peers
Comparison fields: 5 of 92
- Fluid Flow and Transfer Processes 74
- Computational Mechanics 220
- Numerical Analysis 57
- Condensed Matter Physics 64
- Materials Chemistry 246
Countries citing papers authored by Stephen R. Becker
This map shows the geographic impact of Stephen R. 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 R. 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 R. Becker more than expected).
Fields of papers citing papers by Stephen R. Becker
This network shows the impact of papers produced by Stephen R. 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 R. Becker. The network helps show where Stephen R. Becker may publish in the future.
Co-authors
The 18 scholars most cited alongside Stephen R. 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
| # | Work | ||
|---|---|---|---|
| 1 | Templates for convex cone problems with applications to sparse signal recovery Hit paper breakdown → | 2011 | 356 |
| 2 | 2006 | 156 | |
| 3 | 2007 | 144 | |
| 4 | 2015 | 8 | |
| 5 | 2020 | 6 | |
| 6 | 2018 | 6 | |
| 7 | 2020 | 3 | |
| 8 | 2015 | 2 | |
| 9 | 2024 | 0 |
About Stephen R. Becker
Stephen R. Becker is a scholar working on Computational Mechanics, Biomedical Engineering, Biophysics, Electrical and Electronic Engineering and Materials Chemistry, having authored 9 papers that have together received 681 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Material Dynamics and Properties (2 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Educational and Psychological Assessments (1 paper), Behavioral and Psychological Studies (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and Phase Equilibria and Thermodynamics (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (74 citations), Computational Mechanics (220 citations), Numerical Analysis (57 citations), Condensed Matter Physics (64 citations) and Materials Chemistry (246 citations). Stephen R. Becker has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Michael C. Grant, Emmanuel J. Candès, Francis W. Starr, Peter H. Poole, Sergey V. Buldyrev, H. Eugene Stanley, Pradeep Kumar, Simeng Chen, Carol J. Cogswell and Joel A. Tropp. Their work appears in journals such as Mathematical Programming Computation, Improving Schools, Optics Express, Journal of Biomedical Optics and Proceedings of the National Academy of Sciences.
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.