Brian Sutton
Impact in
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- Advanced Combinatorial Mathematics
- Geometry and Topology top 5%
- Graph theory and applications
Papers in
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- Matrix Theory and Algorithms 10
- Advanced Graph Theory Research 2
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- Graph theory and applications 5
- Co-authors
- Alan S. Edelman (4 shared papers)Charles R. Johnson (5 shared papers)António Leal Duarte (1 shared paper)Sivaram K. Narayan (2 shared papers)Xiaobing Feng (1 shared paper)Suzanne Lenhart (1 shared paper)Per‐Olof Persson (1 shared paper)V. Protopopescu (1 shared paper)
- Journals
- SIAM Journal on Matrix Analysis and Applications (5 papers)Linear Algebra and its Applications (1 paper)IMA Journal of Numerical Analysis (1 paper)Nonlinear Analysis (1 paper)Journal of Statistical Physics (1 paper)
- Partner nations
- United StatesPortugal
In The Last Decade
Brian Sutton
15 papers receiving 321 citations
Peers
Comparison fields: 5 of 40
- Discrete Mathematics and Combinatorics 57
- Geometry and Topology 132
- Statistics and Probability 96
- Computational Theory and Mathematics 177
- Computational Mathematics 5
Countries citing papers authored by Brian Sutton
This map shows the geographic impact of Brian Sutton'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 Brian Sutton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Sutton more than expected).
Fields of papers citing papers by Brian Sutton
This network shows the impact of papers produced by Brian Sutton. 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 Brian Sutton. The network helps show where Brian Sutton may publish in the future.
Co-authors
The 8 scholars most cited alongside Brian Sutton, 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 | 2007 | 57 | |
| 2 | 2004 | 53 | |
| 3 | 2008 | 44 | |
| 4 | 2007 | 43 | |
| 5 | 2005 | 39 | |
| 6 | 2003 | 36 | |
| 7 | 2008 | 29 | |
| 8 | 2011 | 16 | |
| 9 | 2012 | 8 | |
| 10 | 2008 | 7 | |
| 11 | 2002 | 6 | |
| 12 | 2014 | 4 | |
| 13 | 2019 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2019 | 0 | |
| 17 | 2013 | 0 |
About Brian Sutton
Brian Sutton is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Statistics and Probability, Mathematical Physics and Computational Mathematics, having authored 17 papers that have together received 345 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (10 papers), Graph theory and applications (5 papers), Random Matrices and Applications (4 papers), graph theory and CDMA systems (3 papers), Advanced Graph Theory Research (2 papers), Stochastic processes and statistical mechanics (2 papers), Tensor decomposition and applications (2 papers) and Advanced Combinatorial Mathematics (2 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (57 citations), Geometry and Topology (132 citations), Statistics and Probability (96 citations), Computational Theory and Mathematics (177 citations) and Computational Mathematics (5 citations). Brian Sutton has collaborated with scholars based in United States and Portugal. Frequent co-authors include Alan S. Edelman, Charles R. Johnson, António Leal Duarte, Sivaram K. Narayan, Xiaobing Feng, Suzanne Lenhart, Per‐Olof Persson and V. Protopopescu. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Linear Algebra and its Applications, IMA Journal of Numerical Analysis, Nonlinear Analysis and Journal of Statistical 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.