Daniel Remenik
Impact in
- Statistics and Probability top 1%
- Random Matrices and Applications
- Markov Chains and Monte Carlo Methods
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
Papers in
-
- Stochastic processes and statistical mechanics 18
-
- Random Matrices and Applications 13
- Markov Chains and Monte Carlo Methods 3
- Co-authors
- Jeremy Quastel (11 shared papers)Ivan Corwin (4 shared papers)Rick Durrett (3 shared papers)Alexei Borodin (2 shared papers)Maurício González (1 shared paper)Alejandro Maass (1 shared paper)Janosch Ortmann (1 shared paper)Servet Martı́nez (1 shared paper)
- Journals
- The Annals of Applied Probability (2 papers)Communications in Mathematical Physics (2 papers)Annales de l Institut Henri Poincaré Probabilités et Statistiques (2 papers)The Annals of Probability (2 papers)Probability Theory and Related Fields (2 papers)
- Partner nations
- ChileUnited StatesCanada
In The Last Decade
Daniel Remenik
23 papers receiving 358 citations
Peers
Comparison fields: 5 of 50
- Statistics and Probability 282
- Mathematical Physics 284
- Discrete Mathematics and Combinatorics 69
- Condensed Matter Physics 114
- Geometry and Topology 33
Countries citing papers authored by Daniel Remenik
This map shows the geographic impact of Daniel Remenik'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 Daniel Remenik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Remenik more than expected).
Fields of papers citing papers by Daniel Remenik
This network shows the impact of papers produced by Daniel Remenik. 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 Daniel Remenik. The network helps show where Daniel Remenik may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Remenik, 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 | 2013 | 66 | |
| 2 | 2015 | 49 | |
| 3 | 2014 | 37 | |
| 4 | 2011 | 34 | |
| 5 | 2012 | 32 | |
| 6 | 2021 | 29 | |
| 7 | 2006 | 23 | |
| 8 | 2012 | 17 | |
| 9 | 2016 | 15 | |
| 10 | 2008 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2011 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2009 | 6 | |
| 16 | 2008 | 6 | |
| 17 | 2011 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2007 | 3 |
About Daniel Remenik
Daniel Remenik is a scholar working on Mathematical Physics, Statistics and Probability, Condensed Matter Physics, Discrete Mathematics and Combinatorics and Finance, having authored 24 papers that have together received 381 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (18 papers), Random Matrices and Applications (13 papers), Theoretical and Computational Physics (6 papers), Bayesian Methods and Mixture Models (4 papers), Markov Chains and Monte Carlo Methods (3 papers), Stochastic processes and financial applications (3 papers), Advanced Combinatorial Mathematics (3 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Statistics and Probability (282 citations), Mathematical Physics (284 citations), Discrete Mathematics and Combinatorics (69 citations), Condensed Matter Physics (114 citations) and Geometry and Topology (33 citations). Daniel Remenik has collaborated with scholars based in Chile, United States and Canada. Frequent co-authors include Jeremy Quastel, Ivan Corwin, Rick Durrett, Alexei Borodin, Maurício González, Alejandro Maass, Janosch Ortmann, Servet Martı́nez, Jaime San Martı́n and Pablo Moisset de Espanés. Their work appears in journals such as The Annals of Applied Probability, Communications in Mathematical Physics, Annales de l Institut Henri Poincaré Probabilités et Statistiques, The Annals of Probability and Probability Theory and Related Fields.
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.