Thomas Duquesne
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods
Papers in
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- Stochastic processes and statistical mechanics 19
- Mathematical Dynamics and Fractals 9
-
- Theoretical and Computational Physics 7
- Co-authors
- Jean‐François Le Gall (2 shared papers)Matthias Winkel (2 shared papers)Jean-François Le Gall (1 shared paper)Nicolas Broutin (2 shared papers)Igor Kortchemski (1 shared paper)Svend Bram (2 shared papers)Jacques De Ruyck (1 shared paper)Igor V. Dyakov (1 shared paper)
- Journals
- The Annals of Probability (3 papers)Probability Theory and Related Fields (3 papers)Stochastic Processes and their Applications (2 papers)Electronic Journal of Probability (2 papers)Electronic Communications in Probability (2 papers)
- Partner nations
- FranceUnited KingdomSwitzerland
In The Last Decade
Thomas Duquesne
21 papers receiving 316 citations
Peers
Comparison fields: 5 of 38
- Mathematical Physics 302
- Statistics and Probability 127
- Condensed Matter Physics 119
- Finance 51
- Discrete Mathematics and Combinatorics 13
Countries citing papers authored by Thomas Duquesne
This map shows the geographic impact of Thomas Duquesne'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 Thomas Duquesne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Duquesne more than expected).
Fields of papers citing papers by Thomas Duquesne
This network shows the impact of papers produced by Thomas Duquesne. 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 Thomas Duquesne. The network helps show where Thomas Duquesne may publish in the future.
Co-authors
The 15 scholars most cited alongside Thomas Duquesne, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 103 | |
| 2 | 2003 | 68 | |
| 3 | 2007 | 31 | |
| 4 | 2018 | 29 | |
| 5 | 2003 | 14 | |
| 6 | 2015 | 13 | |
| 7 | 2008 | 12 | |
| 8 | 2014 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2005 | 8 | |
| 12 | 2009 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2011 | 3 | |
| 15 | 2022 | 3 | |
| 16 | 2009 | 3 | |
| 17 | 2005 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2010 | 1 | |
| 20 | 2014 | 1 |
About Thomas Duquesne
Thomas Duquesne is a scholar working on Mathematical Physics, Condensed Matter Physics, Statistics and Probability, Finance and Management Science and Operations Research, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (19 papers), Mathematical Dynamics and Fractals (9 papers), Theoretical and Computational Physics (7 papers), Stochastic processes and financial applications (5 papers), Markov Chains and Monte Carlo Methods (5 papers), Probability and Risk Models (3 papers), Vehicle emissions and performance (2 papers) and Energy and Environment Impacts (1 paper). The work is most often cited by research in Mathematical Physics (302 citations), Statistics and Probability (127 citations), Condensed Matter Physics (119 citations), Finance (51 citations) and Discrete Mathematics and Combinatorics (13 citations). Thomas Duquesne has collaborated with scholars based in France, United Kingdom and Switzerland. Frequent co-authors include Jean‐François Le Gall, Matthias Winkel, Jean-François Le Gall, Nicolas Broutin, Igor Kortchemski, Svend Bram, Jacques De Ruyck, Igor V. Dyakov, Guanying Wang and Francesco Contino. Their work appears in journals such as The Annals of Probability, Probability Theory and Related Fields, Stochastic Processes and their Applications, Electronic Journal of Probability and Electronic Communications in 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.