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 5
- advanced mathematical theories 2
- Finance 7
- Stochastic processes and financial applications 7
- Co-authors
- Albert Greenberg (2 shared papers)Neal Madras (2 shared papers)Robert Hołyst (2 shared papers)Krzysztof Burdzy (2 shared papers)Jonathan Goodman (1 shared paper)Boris Pittel (1 shared paper)Donald A. Dawson (1 shared paper)Pei Hsu (1 shared paper)
- Journals
- Probability Theory and Related Fields (3 papers)The Annals of Probability (3 papers)Communications on Pure and Applied Mathematics (2 papers)Journal of Functional Analysis (1 paper)Journal of Theoretical Probability (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Peter March
20 papers receiving 438 citations
Peers
Comparison fields: 5 of 59
- Mathematical Physics 238
- Statistics and Probability 88
- Applied Mathematics 91
- Geometry and Topology 63
- Condensed Matter Physics 68
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 22 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 110 | |
| 2 | 2000 | 64 | |
| 3 | 2000 | 47 | |
| 4 | 1996 | 43 | |
| 5 | 1996 | 33 | |
| 6 | 1995 | 24 | |
| 7 | 1991 | 22 | |
| 8 | 1985 | 21 | |
| 9 | 1996 | 19 | |
| 10 | 1985 | 17 | |
| 11 | 1989 | 17 | |
| 12 | 1997 | 15 | |
| 13 | 1986 | 13 | |
| 14 | 2008 | 10 | |
| 15 | 1987 | 10 | |
| 16 | 1993 | 9 | |
| 17 | 1992 | 2 | |
| 18 | 1985 | 2 | |
| 19 | Dental school volunteerism. | 2014 | 2 |
| 20 | 1984 | 1 |
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 21 papers that have together received 481 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Stochastic processes and statistical mechanics (5 papers), Geometric Analysis and Curvature Flows (3 papers), Point processes and geometric inequalities (3 papers), Geometry and complex manifolds (2 papers), Theoretical and Computational Physics (2 papers), advanced mathematical theories (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Mathematical Physics (238 citations), Statistics and Probability (88 citations), Applied Mathematics (91 citations), Geometry and Topology (63 citations) and Condensed Matter Physics (68 citations). Peter March has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Albert Greenberg, Neal Madras, Robert Hołyst, Krzysztof Burdzy, Jonathan Goodman, Boris Pittel, Donald A. Dawson, Pei Hsu, Alison Etheridge and Vitaly Bergelson. Their work appears in journals such as Probability Theory and Related Fields, The Annals of Probability, Communications on Pure and Applied Mathematics, Journal of Functional Analysis and Journal of Theoretical Probability.
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.