Loïc Chaumont
Impact in
- Mathematical Physics top 5%
- Stochastic processes and statistical mechanics
- Mathematical Dynamics and Fractals
- Finance top 5%
- Stochastic processes and financial applications
Papers in
-
- Stochastic processes and statistical mechanics 15
- Mathematical Dynamics and Fractals 3
- Finance 10
- Stochastic processes and financial applications 10
- Co-authors
- R. A. Doney (2 shared papers)Francesco Caravenna (2 shared papers)Juan Carlos Pardo (1 shared paper)Jean Bertoin (1 shared paper)Jim Pitman (1 shared paper)Larbi Alili (2 shared papers)Charles-Éric Durel (1 shared paper)Andreas E. Kyprianou (1 shared paper)
- Journals
- Electronic Journal of Probability (6 papers)Annales de l Institut Henri Poincaré Probabilités et Statistiques (2 papers)Stochastic Processes and their Applications (1 paper)Bernoulli (1 paper)Transactions of the American Mathematical Society (1 paper)
- Partner nations
- FranceUnited KingdomAustria
In The Last Decade
Loïc Chaumont
16 papers receiving 211 citations
Peers
Comparison fields: 5 of 36
- Mathematical Physics 155
- Finance 100
- Management Science and Operations Research 87
- Statistics and Probability 49
- Management Information Systems 19
Countries citing papers authored by Loïc Chaumont
This map shows the geographic impact of Loïc Chaumont'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 Loïc Chaumont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Loïc Chaumont more than expected).
Fields of papers citing papers by Loïc Chaumont
This network shows the impact of papers produced by Loïc Chaumont. 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 Loïc Chaumont. The network helps show where Loïc Chaumont may publish in the future.
Co-authors
The 9 scholars most cited alongside Loïc Chaumont, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 62 | |
| 2 | 2008 | 29 | |
| 3 | 2013 | 24 | |
| 4 | 2006 | 23 | |
| 5 | 2003 | 22 | |
| 6 | 2013 | 19 | |
| 7 | 2015 | 13 | |
| 8 | 2001 | 10 | |
| 9 | 2007 | 6 | |
| 10 | 2015 | 6 | |
| 11 | 2008 | 4 | |
| 12 | 2020 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2013 | 1 | |
| 15 | 1999 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 |
About Loïc Chaumont
Loïc Chaumont is a scholar working on Mathematical Physics, Finance, Management Science and Operations Research, Management Information Systems and Molecular Biology, having authored 18 papers that have together received 224 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (15 papers), Stochastic processes and financial applications (10 papers), Probability and Risk Models (6 papers), Advanced Queuing Theory Analysis (3 papers), Mathematical Dynamics and Fractals (3 papers), Markov Chains and Monte Carlo Methods (2 papers), Diffusion and Search Dynamics (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Mathematical Physics (155 citations), Finance (100 citations), Management Science and Operations Research (87 citations), Statistics and Probability (49 citations) and Management Information Systems (19 citations). Loïc Chaumont has collaborated with scholars based in France, United Kingdom and Austria. Frequent co-authors include R. A. Doney, Francesco Caravenna, Juan Carlos Pardo, Jean Bertoin, Jim Pitman, Larbi Alili, Charles-Éric Durel, Andreas E. Kyprianou and Jacek Małecki. Their work appears in journals such as Electronic Journal of Probability, Annales de l Institut Henri Poincaré Probabilités et Statistiques, Stochastic Processes and their Applications, Bernoulli and Transactions of the American Mathematical Society.
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.