Mark Tygert
Impact in
- Computational Mathematics top 1%
- Tensor decomposition and applications
- Computational Theory and Mathematics top 0.5%
- Matrix Theory and Algorithms
Papers in
-
- Matrix Theory and Algorithms 12
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- Probability and Statistical Research 5
- Statistical Methods and Applications 4
- Statistical Distribution Estimation and Applications 3
- Co-authors
- Vladimir Rokhlin (10 shared papers)Per‐Gunnar Martinsson (5 shared papers)Franco Woolfe (2 shared papers)Edo Liberty (2 shared papers)Arthur D. Szlam (5 shared papers)Yoel Shkolnisky (2 shared papers)Yann LeCun (2 shared papers)Soumith Chintala (2 shared papers)
- Journals
- Applied and Computational Harmonic Analysis (6 papers)SIAM Journal on Scientific Computing (3 papers)SIAM Journal on Matrix Analysis and Applications (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Computational Physics (2 papers)
- Partner nations
- United States
In The Last Decade
Mark Tygert
31 papers receiving 1.9k citations
Mark Tygert's Hit Papers
Peers
Comparison fields: 5 of 115
- Computational Mathematics 103
- Computational Theory and Mathematics 683
- Numerical Analysis 69
- Computational Mechanics 296
- Statistical and Nonlinear Physics 141
Countries citing papers authored by Mark Tygert
This map shows the geographic impact of Mark Tygert'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 Mark Tygert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Tygert more than expected).
Fields of papers citing papers by Mark Tygert
This network shows the impact of papers produced by Mark Tygert. 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 Mark Tygert. The network helps show where Mark Tygert may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Tygert, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Randomized algorithms for the low-rank approximation of matrices Hit paper breakdown → | 2007 | 414 |
| 2 | 2009 | 303 | |
| 3 | 2010 | 255 | |
| 4 | 2007 | 236 | |
| 5 | 2011 | 205 | |
| 6 | 2008 | 124 | |
| 7 | 2006 | 92 | |
| 8 | 2016 | 73 | |
| 9 | 2005 | 58 | |
| 10 | 2008 | 55 | |
| 11 | 2010 | 53 | |
| 12 | 2017 | 44 | |
| 13 | 2006 | 28 | |
| 14 | 2006 | 19 | |
| 15 | 2011 | 19 | |
| 16 | 2011 | 15 | |
| 17 | 2019 | 15 | |
| 18 | 2009 | 12 | |
| 19 | 2020 | 10 | |
| 20 | 2010 | 9 |
About Mark Tygert
Mark Tygert is a scholar working on Computational Theory and Mathematics, Statistics and Probability, Numerical Analysis, Applied Mathematics and Computational Mechanics, having authored 32 papers that have together received 2.1k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (12 papers), Probability and Statistical Research (5 papers), Mathematical Approximation and Integration (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Statistical Methods and Applications (4 papers), Mathematical functions and polynomials (3 papers), Electromagnetic Scattering and Analysis (3 papers) and Statistical Distribution Estimation and Applications (3 papers). The work is most often cited by research in Computational Mathematics (103 citations), Computational Theory and Mathematics (683 citations), Numerical Analysis (69 citations), Computational Mechanics (296 citations) and Statistical and Nonlinear Physics (141 citations). Mark Tygert has collaborated with scholars based in United States. Frequent co-authors include Vladimir Rokhlin, Per‐Gunnar Martinsson, Franco Woolfe, Edo Liberty, Arthur D. Szlam, Yoel Shkolnisky, Yann LeCun, Soumith Chintala, Joan Bruna and Huamin Li. Their work appears in journals such as Applied and Computational Harmonic Analysis, SIAM Journal on Scientific Computing, SIAM Journal on Matrix Analysis and Applications, Proceedings of the National Academy of Sciences and Journal of Computational Physics.
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.