Kevin R. Payne
- Applied Mathematics top 2%
- Nonlinear Partial Differential Equations 15
- Differential Equations and Boundary Problems 11
- Mathematical Physics top 5%
- Advanced Mathematical Physics Problems 12
- Numerical methods in inverse problems 8
- Spectral Theory in Mathematical Physics 2
- Numerical Analysis top 10%
- Differential Equations and Numerical Methods 4
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- Advanced Mathematical Modeling in Engineering 12
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- Stability and Controllability of Differential Equations 3
- Co-authors
- Daniela LupoDario D. MonticelliCathleen S. MorawetzMarco CirantFabio PunzoToshio MatsudaAnna Maria MichelettiChen Ya
- Journals
- Communications on Pure and Applied Mathematics (4 papers)Journal of Mathematical Analysis and Applications (3 papers)Nonlinear Analysis (2 papers)
- Partner nations
- ItalyUnited StatesBulgaria
In The Last Decade
Kevin R. Payne
27 papers receiving 236 citations
Peers
Comparison fields: 5 of 33
- Applied Mathematics 226
- Mathematical Physics 169
- Numerical Analysis 60
- Computational Theory and Mathematics 81
- Statistical and Nonlinear Physics 36
Countries citing papers authored by Kevin R. Payne
This map shows the geographic impact of Kevin R. Payne'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 Kevin R. Payne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin R. Payne more than expected).
Fields of papers citing papers by Kevin R. Payne
This network shows the impact of papers produced by Kevin R. Payne. 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 Kevin R. Payne. The network helps show where Kevin R. Payne may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Kevin R. Payne, 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 | 2020 | 0 | |
| 2 | 2018 | 10 | |
| 3 | 2017 | 3 | |
| 4 | 2017 | 10 | |
| 5 | 2014 | 20 | |
| 6 | 2014 | 3 | |
| 7 | 2012 | 4 | |
| 8 | 2012 | 8 | |
| 9 | 2012 | 5 | |
| 10 | 2012 | 7 | |
| 11 | 2009 | 20 | |
| 12 | Multiplier methods for mixed type equations | 2007 | 3 |
| 13 | 2006 | 6 | |
| 14 | Weak well posedness of the Dirichlet problem for equations of mixed ellptic-hyperbolic type | 2005 | 4 |
| 15 | 2005 | 19 | |
| 16 | Weak well-posedness for the Dirichlet problem for equations of mixed elliptic-hyperbolic type | 2005 | 2 |
| 17 | 2002 | 16 | |
| 18 | 2001 | 1 | |
| 19 | Existence of a principal eigenvalue for the Tricomi problem. | 2000 | 5 |
| 20 | 2000 | 11 |
About Kevin R. Payne
Kevin R. Payne is a scholar working on Mathematical Physics, Applied Mathematics and Theoretical Computer Science, having authored 29 papers that have together received 268 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (15 papers), Advanced Mathematical Physics Problems (12 papers), Advanced Mathematical Modeling in Engineering (12 papers), Differential Equations and Boundary Problems (11 papers), Numerical methods in inverse problems (8 papers), Differential Equations and Numerical Methods (4 papers), Stability and Controllability of Differential Equations (3 papers) and Spectral Theory in Mathematical Physics (2 papers). The work is most often cited by research in Applied Mathematics (226 citations), Mathematical Physics (169 citations) and Numerical Analysis (60 citations). Kevin R. Payne has collaborated with scholars based in Italy, United States and Bulgaria. Frequent co-authors include Daniela Lupo, Dario D. Monticelli, Cathleen S. Morawetz, Marco Cirant, Fabio Punzo, Toshio Matsuda, Anna Maria Micheletti, Chen Ya, Barbara Lee Keyfitz and Xin Yu. Their work appears in journals such as Communications on Pure and Applied Mathematics, Journal of Mathematical Analysis and Applications, Nonlinear Analysis, Journal of Differential Equations and Duke Mathematical Journal.
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.