Michael Strauss
Impact in
- Computational Mechanics top 1%
- Sparse and Compressive Sensing Techniques
- Computational Mathematics top 10%
Papers in
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- Spectral Theory in Mathematical Physics 9
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- Sparse and Compressive Sensing Techniques 9
- Advanced Numerical Methods in Computational Mathematics 2
- Co-authors
- Anna C. Gilbert (13 shared papers)Joel A. Tropp (4 shared papers)S. Muthukrishnan (4 shared papers)Piotr Indyk (2 shared papers)Radu Berinde (1 shared paper)Howard J. Karloff (1 shared paper)Roman Vershynin (1 shared paper)Sudipto Guha (1 shared paper)
- Journals
- IEEE Transactions on Knowledge and Data Engineering (2 papers)Journal of Functional Analysis (2 papers)Journal of Spectral Theory (2 papers)IEEE Signal Processing Magazine (1 paper)Communications in Mathematical Sciences (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Michael Strauss
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 61
- Computational Mechanics 867
- Computational Mathematics 10
- Signal Processing 99
- Computer Networks and Communications 238
- Computational Theory and Mathematics 112
Countries citing papers authored by Michael Strauss
This map shows the geographic impact of Michael Strauss'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 Michael Strauss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Strauss more than expected).
Fields of papers citing papers by Michael Strauss
This network shows the impact of papers produced by Michael Strauss. 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 Michael Strauss. The network helps show where Michael Strauss may publish in the future.
Co-authors
The 24 scholars most cited alongside Michael Strauss, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 286 | |
| 2 | 2006 | 220 | |
| 3 | 2007 | 191 | |
| 4 | 2002 | 174 | |
| 5 | 2005 | 133 | |
| 6 | 2003 | 90 | |
| 7 | 2008 | 89 | |
| 8 | 2004 | 50 | |
| 9 | 2007 | 32 | |
| 10 | 2002 | 23 | |
| 11 | 2002 | 23 | |
| 12 | 2003 | 20 | |
| 13 | 2007 | 15 | |
| 14 | 2005 | 13 | |
| 15 | 2005 | 12 | |
| 16 | 2007 | 12 | |
| 17 | 2014 | 9 | |
| 18 | 2005 | 8 | |
| 19 | 2009 | 8 | |
| 20 | 2002 | 7 |
About Michael Strauss
Michael Strauss is a scholar working on Mathematical Physics, Computational Mechanics, Computational Theory and Mathematics, Computer Networks and Communications and Statistics and Probability, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spectral Theory in Mathematical Physics (9 papers), Sparse and Compressive Sensing Techniques (9 papers), Advanced Database Systems and Queries (5 papers), Algorithms and Data Compression (3 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Complexity and Algorithms in Graphs (2 papers), Matrix Theory and Algorithms (2 papers) and Computability, Logic, AI Algorithms (2 papers). The work is most often cited by research in Computational Mechanics (867 citations), Computational Mathematics (10 citations), Signal Processing (99 citations), Computer Networks and Communications (238 citations) and Computational Theory and Mathematics (112 citations). Michael Strauss has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Anna C. Gilbert, Joel A. Tropp, S. Muthukrishnan, Piotr Indyk, Radu Berinde, Howard J. Karloff, Roman Vershynin, Sudipto Guha, S. Muthukrishnan and Yannis Kotidis. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Journal of Functional Analysis, Journal of Spectral Theory, IEEE Signal Processing Magazine and Communications in Mathematical 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.