Michael Damron

494 total citations
34 papers, 188 citations indexed

About

Michael Damron is a scholar working on Mathematical Physics, Statistics and Probability and Condensed Matter Physics. According to data from OpenAlex, Michael Damron has authored 34 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Mathematical Physics, 27 papers in Statistics and Probability and 13 papers in Condensed Matter Physics. Recurrent topics in Michael Damron's work include Stochastic processes and statistical mechanics (30 papers), Markov Chains and Monte Carlo Methods (18 papers) and Random Matrices and Applications (17 papers). Michael Damron is often cited by papers focused on Stochastic processes and statistical mechanics (30 papers), Markov Chains and Monte Carlo Methods (18 papers) and Random Matrices and Applications (17 papers). Michael Damron collaborates with scholars based in United States, Taiwan and Brazil. Michael Damron's co-authors include Artëm Sapozhnikov, Philippe Sosoe, Antonio Auffinger, Louis‐Pierre Arguin, Xuan Wang, D. L. Stein, Timo Seppäläinen, Arnab Sen, Michael Hochman and Firas Rassoul‐Agha and has published in prestigious journals such as Communications in Mathematical Physics, Communications on Pure and Applied Mathematics and Transactions of the American Mathematical Society.

In The Last Decade

Michael Damron

30 papers receiving 180 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Damron United States 8 167 140 74 24 18 34 188
Hubert Lacoin France 8 141 0.8× 94 0.7× 80 1.1× 19 0.8× 6 0.3× 27 160
Nathanaël Enriquez France 9 147 0.9× 85 0.6× 45 0.6× 16 0.7× 12 0.7× 30 204
Perla Sousi United Kingdom 7 113 0.7× 75 0.5× 28 0.4× 21 0.9× 12 0.7× 23 151
David A. Croydon United Kingdom 10 189 1.1× 115 0.8× 95 1.3× 13 0.5× 4 0.2× 32 207
Eliran Subag Israel 7 75 0.4× 70 0.5× 82 1.1× 24 1.0× 16 0.9× 14 165
Jon Warren United Kingdom 8 156 0.9× 154 1.1× 27 0.4× 5 0.2× 25 1.4× 23 194
Nicola Kistler Germany 6 124 0.7× 46 0.3× 53 0.7× 20 0.8× 9 0.5× 16 150
Christian Döbler Luxembourg 7 81 0.5× 102 0.7× 16 0.2× 14 0.6× 22 1.2× 21 142
Philippe Sosoe United States 7 139 0.8× 82 0.6× 23 0.3× 29 1.2× 6 0.3× 22 161
Nikos Zygouras United Kingdom 9 276 1.7× 214 1.5× 133 1.8× 23 1.0× 20 1.1× 24 316

Countries citing papers authored by Michael Damron

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael Damron

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Damron. A scholar is included among the top collaborators of Michael Damron based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Damron. Michael Damron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Damron, Michael, et al.. (2024). Fluctuation bounds for first-passage percolation on the square, tube, and torus. Latin American Journal of Probability and Mathematical Statistics. 21(1). 215–215.
2.
Damron, Michael, et al.. (2023). On the number and size of holes in the growing ball of first-passage percolation. Transactions of the American Mathematical Society. 377(3). 1641–1670. 1 indexed citations
3.
Damron, Michael, et al.. (2023). Universality of the time constant for 2D critical first-passage percolation. The Annals of Applied Probability. 33(3). 1 indexed citations
4.
Damron, Michael, et al.. (2020). Sublinear variance in Euclidean first-passage percolation. Stochastic Processes and their Applications. 130(8). 5060–5099. 1 indexed citations
5.
Damron, Michael, et al.. (2020). Lower bounds for fluctuations in first-passage percolation for general distributions. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 56(2). 4 indexed citations
6.
Damron, Michael, et al.. (2020). Strict Inequality for the Chemical Distance Exponent in Two‐Dimensional Critical Percolation. Communications on Pure and Applied Mathematics. 74(4). 679–743. 4 indexed citations
7.
Damron, Michael, et al.. (2018). Percolation of finite clusters and existence of infinite shielded paths. arXiv (Cornell University). 1 indexed citations
8.
Damron, Michael, Firas Rassoul‐Agha, & Timo Seppäläinen. (2018). Random Growth Models. 7 indexed citations
9.
Damron, Michael, et al.. (2017). Asymptotics for $2D$ critical first passage percolation. The Annals of Probability. 45(5). 9 indexed citations
10.
Damron, Michael, et al.. (2016). Rate of convergence in first-passage percolation under low moments. Stochastic Processes and their Applications. 126(10). 3065–3076. 3 indexed citations
11.
Damron, Michael, et al.. (2016). On the number of ergodic measures for minimal shifts with eventually constant complexity growth. Ergodic Theory and Dynamical Systems. 37(7). 2099–2130.
12.
Damron, Michael, et al.. (2016). Coarsening with a frozen vertex. Electronic Communications in Probability. 21(none).
13.
Damron, Michael, et al.. (2014). GAUSSIAN CONCENTRATION FOR THE LOWER TAIL IN FIRST-PASSAGE PERCOLATION UNDER LOW MOMENTS. arXiv (Cornell University). 4 indexed citations
14.
Damron, Michael, et al.. (2014). Busemann Functions and Infinite Geodesics in Two-Dimensional First-Passage Percolation. Communications in Mathematical Physics. 325(3). 917–963. 31 indexed citations
15.
Damron, Michael, et al.. (2013). Subdiffusivity of random walk on the 2D invasion percolation cluster. Stochastic Processes and their Applications. 123(9). 3588–3621. 1 indexed citations
16.
Damron, Michael & Michael Hochman. (2013). Examples of nonpolygonal limit shapes in i.i.d. first-passage percolation and infinite coexistence in spatial growth models. The Annals of Applied Probability. 23(3). 4 indexed citations
17.
Auffinger, Antonio & Michael Damron. (2012). Differentiability at the edge of the percolation cone and related results in first-passage percolation. Probability Theory and Related Fields. 156(1-2). 193–227. 15 indexed citations
18.
Arguin, Louis‐Pierre & Michael Damron. (2011). Short-Range Spin Glasses and Random Overlap Structures. Journal of Statistical Physics. 143(2). 226–250. 3 indexed citations
19.
Arguin, Louis‐Pierre, et al.. (2010). Uniqueness of Ground States for Short-Range Spin Glasses in the Half-Plane. Communications in Mathematical Physics. 300(3). 641–657. 12 indexed citations
20.
Damron, Michael & Artëm Sapozhnikov. (2010). Outlets of 2D invasion percolation and multiple-armed incipient infinite clusters. Probability Theory and Related Fields. 150(1-2). 257–294. 14 indexed citations

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.

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