Peter March
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Stochastic processes and statistical mechanics 6
- advanced mathematical theories 2
- Finance 8
- Stochastic processes and financial applications 7
- Co-authors
- Neal Madras (2 shared papers)Albert Greenberg (2 shared papers)Robert Hołyst (2 shared papers)Jonathan Goodman (1 shared paper)Krzysztof Burdzy (2 shared papers)Boris Pittel (1 shared paper)Alison Etheridge (1 shared paper)Donald A. Dawson (1 shared paper)
- Journals
- The Annals of Probability (3 papers)Probability Theory and Related Fields (3 papers)Communications on Pure and Applied Mathematics (2 papers)SIAM Journal on Applied Mathematics (1 paper)Journal of the ACM (1 paper)
- Partner nations
- United StatesCanadaPoland
In The Last Decade
Peter March
21 papers receiving 490 citations
Peers
Comparison fields: 5 of 61
- Mathematical Physics 272
- Statistics and Probability 94
- Applied Mathematics 96
- Geometry and Topology 72
- Finance 73
Countries citing papers authored by Peter March
This map shows the geographic impact of Peter March'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 Peter March with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter March more than expected).
Fields of papers citing papers by Peter March
This network shows the impact of papers produced by Peter March. 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 Peter March. The network helps show where Peter March may publish in the future.
Co-authors
The 21 scholars most cited alongside Peter March, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 124 | |
| 2 | 2000 | 66 | |
| 3 | 1996 | 51 | |
| 4 | 2000 | 50 | |
| 5 | 1996 | 35 | |
| 6 | 1991 | 30 | |
| 7 | 1995 | 27 | |
| 8 | 1985 | 23 | |
| 9 | 1989 | 20 | |
| 10 | 1985 | 19 | |
| 11 | 1996 | 18 | |
| 12 | 1986 | 17 | |
| 13 | 1997 | 16 | |
| 14 | 2008 | 11 | |
| 15 | 1987 | 11 | |
| 16 | 1993 | 9 | |
| 17 | 1988 | 4 | |
| 18 | Dental school volunteerism. | 2014 | 2 |
| 19 | 1985 | 2 | |
| 20 | 1992 | 2 |
About Peter March
Peter March is a scholar working on Mathematical Physics, Finance, Applied Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 23 papers that have together received 538 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Stochastic processes and statistical mechanics (6 papers), Point processes and geometric inequalities (4 papers), Geometric Analysis and Curvature Flows (3 papers), Complex Systems and Time Series Analysis (3 papers), advanced mathematical theories (2 papers), Wireless Networks and Protocols (2 papers) and Theoretical and Computational Physics (2 papers). The work is most often cited by research in Mathematical Physics (272 citations), Statistics and Probability (94 citations), Applied Mathematics (96 citations), Geometry and Topology (72 citations) and Finance (73 citations). Peter March has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Neal Madras, Albert Greenberg, Robert Hołyst, Jonathan Goodman, Krzysztof Burdzy, Boris Pittel, Alison Etheridge, Donald A. Dawson, Pei Hsu and Vitaly Bergelson. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Communications on Pure and Applied Mathematics, SIAM Journal on Applied Mathematics and Journal of the ACM.
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.