Michael Damron
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 2%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
Papers in
-
- Stochastic processes and statistical mechanics 30
- Mathematical Dynamics and Fractals 6
-
- Markov Chains and Monte Carlo Methods 18
- Random Matrices and Applications 17
- Co-authors
- Artëm Sapozhnikov (4 shared papers)Philippe Sosoe (4 shared papers)Antonio Auffinger (2 shared papers)Louis‐Pierre Arguin (3 shared papers)Xuan Wang (1 shared paper)D. L. Stein (1 shared paper)Michael Hochman (1 shared paper)Timo Seppäläinen (1 shared paper)
- Journals
- Probability Theory and Related Fields (5 papers)The Annals of Probability (4 papers)Stochastic Processes and their Applications (3 papers)Electronic Journal of Probability (3 papers)The Annals of Applied Probability (3 papers)
- Partner nations
- United StatesTaiwanBrazil
In The Last Decade
Michael Damron
30 papers receiving 183 citations
Peers
Comparison fields: 5 of 23
- Mathematical Physics 169
- Statistics and Probability 142
- Condensed Matter Physics 74
- Statistical and Nonlinear Physics 24
- Geometry and Topology 9
Countries citing papers authored by Michael Damron
This map shows the geographic impact of Michael Damron'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 Michael Damron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Damron more than expected).
Fields of papers citing papers by Michael Damron
This network shows the impact of papers produced by Michael Damron. 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 Michael Damron. The network helps show where Michael Damron may publish in the future.
Co-authors
The 15 scholars most cited alongside Michael Damron, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 32 | |
| 2 | 2009 | 19 | |
| 3 | 2014 | 17 | |
| 4 | 2012 | 15 | |
| 5 | 2010 | 15 | |
| 6 | 2010 | 12 | |
| 7 | 2014 | 12 | |
| 8 | 2017 | 9 | |
| 9 | 2018 | 7 | |
| 10 | 2012 | 6 | |
| 11 | GAUSSIAN CONCENTRATION FOR THE LOWER TAIL IN FIRST-PASSAGE PERCOLATION UNDER LOW MOMENTS | 2014 | 4 |
| 12 | 2020 | 4 | |
| 13 | 2014 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2013 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2021 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2011 | 3 |
About Michael Damron
Michael Damron is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 34 papers that have together received 191 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (30 papers), Markov Chains and Monte Carlo Methods (18 papers), Random Matrices and Applications (17 papers), Theoretical and Computational Physics (13 papers), Bayesian Methods and Mixture Models (6 papers), Mathematical Dynamics and Fractals (6 papers), Complex Network Analysis Techniques (3 papers) and Opinion Dynamics and Social Influence (2 papers). The work is most often cited by research in Mathematical Physics (169 citations), Statistics and Probability (142 citations), Condensed Matter Physics (74 citations), Statistical and Nonlinear Physics (24 citations) and Geometry and Topology (9 citations). Michael Damron has collaborated with scholars based in United States, Taiwan and Brazil. Frequent co-authors include Artëm Sapozhnikov, Philippe Sosoe, Antonio Auffinger, Louis‐Pierre Arguin, Xuan Wang, D. L. Stein, Michael Hochman, Timo Seppäläinen, Firas Rassoul‐Agha and Arnab Sen. Their work appears in journals such as Probability Theory and Related Fields, The Annals of Probability, Stochastic Processes and their Applications, Electronic Journal of Probability and The Annals of Applied 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.