Jon Warren
Impact in
- Statistics and Probability top 2%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
Papers in
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- Stochastic processes and statistical mechanics 20
- Mathematical Dynamics and Fractals 7
-
- Markov Chains and Monte Carlo Methods 12
- Random Matrices and Applications 10
- Co-authors
- Neil O’Connell (3 shared papers)A. B. Dieker (2 shared papers)Saul Jacka (7 shared papers)Jonathan P. Keating (1 shared paper)Tomohiro Sasamoto (1 shared paper)Patrik L. Ferrari (1 shared paper)Alexei Borodin (1 shared paper)Michael Prähofer (1 shared paper)
- Journals
- Stochastic Processes and their Applications (4 papers)Electronic Journal of Probability (4 papers)Advances in Applied Probability (4 papers)Annales de l Institut Henri Poincaré Probabilités et Statistiques (2 papers)Lecture notes in mathematics (2 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Jon Warren
26 papers receiving 246 citations
Peers
Comparison fields: 5 of 28
- Statistics and Probability 193
- Mathematical Physics 206
- Discrete Mathematics and Combinatorics 58
- Finance 36
- Condensed Matter Physics 44
Countries citing papers authored by Jon Warren
This map shows the geographic impact of Jon Warren'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 Jon Warren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Warren more than expected).
Fields of papers citing papers by Jon Warren
This network shows the impact of papers produced by Jon Warren. 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 Jon Warren. The network helps show where Jon Warren may publish in the future.
Co-authors
The 11 scholars most cited alongside Jon Warren, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 57 | |
| 2 | 2009 | 28 | |
| 3 | 2015 | 22 | |
| 4 | 2008 | 19 | |
| 5 | 2008 | 18 | |
| 6 | Consistent families of Brownian motions and stochastic flows of kernels | 2009 | 17 |
| 7 | 2009 | 16 | |
| 8 | 2021 | 15 | |
| 9 | 2002 | 10 | |
| 10 | 2000 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2005 | 4 | |
| 13 | 2008 | 4 | |
| 14 | 2009 | 4 | |
| 15 | 2009 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2006 | 4 | |
| 19 | 2006 | 3 | |
| 20 | 2020 | 3 |
About Jon Warren
Jon Warren is a scholar working on Mathematical Physics, Statistics and Probability, Finance, Applied Mathematics and Computational Theory and Mathematics, having authored 28 papers that have together received 260 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (20 papers), Markov Chains and Monte Carlo Methods (12 papers), Random Matrices and Applications (10 papers), Stochastic processes and financial applications (9 papers), Mathematical Dynamics and Fractals (7 papers), Gene Regulatory Network Analysis (4 papers), Point processes and geometric inequalities (4 papers) and Bayesian Methods and Mixture Models (2 papers). The work is most often cited by research in Statistics and Probability (193 citations), Mathematical Physics (206 citations), Discrete Mathematics and Combinatorics (58 citations), Finance (36 citations) and Condensed Matter Physics (44 citations). Jon Warren has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Neil O’Connell, A. B. Dieker, Saul Jacka, Jonathan P. Keating, Tomohiro Sasamoto, Patrik L. Ferrari, Alexei Borodin, Michael Prähofer, Yueyun Hu and Shinzo Watanabe. Their work appears in journals such as Stochastic Processes and their Applications, Electronic Journal of Probability, Advances in Applied Probability, Annales de l Institut Henri Poincaré Probabilités et Statistiques and Lecture notes in mathematics.
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.