Mark Embree
Impact in
- Computational Mathematics top 2%
- Numerical Analysis top 2%
- Numerical methods for differential equations
Papers in
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- Matrix Theory and Algorithms 24
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- Model Reduction and Neural Networks 9
- Co-authors
- Lloyd N. Trefethen (10 shared papers)D. C. Sorensen (2 shared papers)Tim Warburton (1 shared paper)Christopher Beattie (2 shared papers)David Damanik (4 shared papers)Anton Semenovich Gorodetski (2 shared papers)Maciej Zworski (2 shared papers)Simon Becker (2 shared papers)
- Journals
- SIAM Journal on Matrix Analysis and Applications (7 papers)SIAM Review (5 papers)SIAM Journal on Scientific Computing (4 papers)Linear Algebra and its Applications (3 papers)Communications on Pure and Applied Mathematics (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mark Embree
44 papers receiving 1.7k citations
Mark Embree's Hit Papers
Peers
Comparison fields: 5 of 95
- Computational Mathematics 50
- Numerical Analysis 307
- Mathematical Physics 357
- Computational Theory and Mathematics 651
- Statistical and Nonlinear Physics 413
Countries citing papers authored by Mark Embree
This map shows the geographic impact of Mark Embree'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 Embree with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Embree more than expected).
Fields of papers citing papers by Mark Embree
This network shows the impact of papers produced by Mark Embree. 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 Embree. The network helps show where Mark Embree may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Embree, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Spectra and Pseudospectra Hit paper breakdown → | 2005 | 1061 |
| 2 | 2016 | 83 | |
| 3 | 2005 | 59 | |
| 4 | 2003 | 44 | |
| 5 | 2008 | 44 | |
| 6 | 2005 | 43 | |
| 7 | 1999 | 41 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 37 | |
| 10 | 1999 | 36 | |
| 11 | 2004 | 33 | |
| 12 | 2022 | 33 | |
| 13 | 2015 | 30 | |
| 14 | 2001 | 28 | |
| 15 | 2012 | 26 | |
| 16 | 2001 | 25 | |
| 17 | 2013 | 15 | |
| 18 | 2009 | 13 | |
| 19 | 2003 | 12 | |
| 20 | 2002 | 11 |
About Mark Embree
Mark Embree is a scholar working on Computational Theory and Mathematics, Statistical and Nonlinear Physics, Mathematical Physics, Numerical Analysis and Statistics and Probability, having authored 45 papers that have together received 1.8k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (24 papers), Electromagnetic Scattering and Analysis (12 papers), Model Reduction and Neural Networks (9 papers), Random Matrices and Applications (7 papers), Numerical methods for differential equations (5 papers), Advanced Numerical Methods in Computational Mathematics (5 papers), Spectral Theory in Mathematical Physics (5 papers) and Holomorphic and Operator Theory (4 papers). The work is most often cited by research in Computational Mathematics (50 citations), Numerical Analysis (307 citations), Mathematical Physics (357 citations), Computational Theory and Mathematics (651 citations) and Statistical and Nonlinear Physics (413 citations). Mark Embree has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Lloyd N. Trefethen, D. C. Sorensen, Tim Warburton, Christopher Beattie, David Damanik, Anton Semenovich Gorodetski, Maciej Zworski, Simon Becker, Albrecht Boettcher and Serguei Tcheremchantsev. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, SIAM Review, SIAM Journal on Scientific Computing, Linear Algebra and its Applications and Communications on Pure and Applied Mathematics.
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.