R. Durrett
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
Papers in
-
- Stochastic processes and statistical mechanics 11
-
- Theoretical and Computational Physics 9
- Co-authors
- L. Chayes (2 shared papers)Jennifer Chayes (2 shared papers)J. Theodore Cox (3 shared papers)Maury Bramson (1 shared paper)Glen Swindle (1 shared paper)David M. Tarlinton (1 shared paper)Andreas Acs (1 shared paper)Anne Fletcher (1 shared paper)
- Journals
- Journal of Applied Probability (4 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Communications (1 paper)The Annals of Probability (1 paper)Bernoulli (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
R. Durrett
24 papers receiving 575 citations
Peers
Comparison fields: 5 of 75
- Mathematical Physics 153
- Statistics and Probability 86
- Condensed Matter Physics 102
- Immunology 143
- Modeling and Simulation 31
Countries citing papers authored by R. Durrett
This map shows the geographic impact of R. Durrett'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. Durrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Durrett more than expected).
Fields of papers citing papers by R. Durrett
This network shows the impact of papers produced by R. Durrett. 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. Durrett. The network helps show where R. Durrett may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Durrett, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2012 | 91 | |
| 3 | 2021 | 62 | |
| 4 | 2019 | 37 | |
| 5 | 1992 | 37 | |
| 6 | 1989 | 34 | |
| 7 | 1986 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 1978 | 28 | |
| 10 | 2015 | 22 | |
| 11 | 1995 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 1987 | 17 | |
| 14 | 1985 | 16 | |
| 15 | 2013 | 15 | |
| 16 | 2024 | 13 | |
| 17 | 1991 | 10 | |
| 18 | 1993 | 7 | |
| 19 | 1992 | 6 | |
| 20 | 1992 | 2 |
About R. Durrett
R. Durrett is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistics and Probability, Molecular Biology and Immunology, having authored 24 papers that have together received 599 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Theoretical and Computational Physics (9 papers), Markov Chains and Monte Carlo Methods (8 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Genomics and Diagnostics (2 papers), Mathematical Biology Tumor Growth (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Mathematical Physics (153 citations), Statistics and Probability (86 citations), Condensed Matter Physics (102 citations), Immunology (143 citations) and Modeling and Simulation (31 citations). R. Durrett has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include L. Chayes, Jennifer Chayes, J. Theodore Cox, Maury Bramson, Glen Swindle, David M. Tarlinton, Andreas Acs, Anne Fletcher, Lucy S. K. Walker and Henry Hess. Their work appears in journals such as Journal of Applied Probability, Proceedings of the National Academy of Sciences, Nature Communications, The Annals of Probability and Bernoulli.
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.