R. M. Brown
- Mathematical Physics top 2%
- Computational Theory and Mathematics top 1%
- Applied Mathematics top 1%
- Social Psychology top 5%
- Sociology and Political Science top 10%
- Co-authors
- Mikko SaloGünther UhlmannZhongwei ShenDon HintonRodolfo H. TorresIrina MitreaPeter D. HislopA. Martinez
- Topics
- Advanced Mathematical Modeling in Engineering (34 papers)Nonlinear Partial Differential Equations (20 papers)Numerical methods in inverse problems (16 papers)
- Journals
- Journal of Mathematical Analysis and ApplicationsTransactions of the American Mathematical SocietyJournal of Differential Equations
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
R. M. Brown
45 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Mathematical Physics 539
- Computational Theory and Mathematics 503
- Applied Mathematics 439
- Social Psychology 240
- Sociology and Political Science 191
Countries citing papers authored by R. M. Brown
This map shows the geographic impact of R. M. Brown'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 R. M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Brown more than expected).
Fields of papers citing papers by R. M. Brown
This network shows the impact of papers produced by R. M. Brown. 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 R. M. Brown. The network helps show where R. M. Brown may publish in the future.
Co-authorship network of co-authors of R. M. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Brown. A scholar is included among the top collaborators of R. M. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. M. Brown. R. M. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 29 | |
| 8 | 23 | |
| 9 | The Mixed Problem in L <sup>p</sup> for Some Two-Dimensional Lipschitz Domains | 10 |
| 10 | Cosmogenic 10Be and 26Al dating of palaeo-lake shorelines on Tibet | 1 |
| 11 | 3 | |
| 12 | 29 | |
| 13 | 10 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 29 | |
| 17 | 12 | |
| 18 | 12 | |
| 19 | 5 | |
| 20 | 2 |
About R. M. Brown
R. M. Brown is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 50 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (34 papers), Nonlinear Partial Differential Equations (20 papers) and Numerical methods in inverse problems (16 papers). The work is most often cited by research in Mathematical Physics (539 citations), Applied Mathematics (439 citations) and Computational Theory and Mathematics (503 citations). R. M. Brown has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Mikko Salo, Günther Uhlmann, Zhongwei Shen, Don Hinton, Rodolfo H. Torres, Irina Mitrea, Peter D. Hislop, A. Martinez, Peter Perry and Marius Mitrea. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Transactions of the American Mathematical Society and Journal of Differential Equations.
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.