Florence Merlevède
- Mathematical Physics top 2%
- Mathematical Dynamics and Fractals 31
- Stochastic processes and statistical mechanics 27
- Statistics and Probability top 1%
- Random Matrices and Applications 8
- Markov Chains and Monte Carlo Methods 8
- Finance top 2%
- Stochastic processes and financial applications 18
- Financial Risk and Volatility Modeling 8
-
- Probability and Risk Models 18
- Applied Mathematics top 5%
-
- Mathematical Approximation and Integration 10
- Co-authors
- Jérôme DedeckerMagda PeligradEmmanuel RioSergey UtevFabienne ComteDalibor VolnýSébastien GouëzelDenis Bosq
- Journals
- SHILAP Revista de lepidopterología (1 paper)Communications in Mathematical Physics (1 paper)Transactions of the American Mathematical Society (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Florence Merlevède
64 papers receiving 787 citations
Peers
Comparison fields: 5 of 57
- Mathematical Physics 445
- Statistics and Probability 384
- Finance 311
- Management Science and Operations Research 163
- Applied Mathematics 112
Countries citing papers authored by Florence Merlevède
This map shows the geographic impact of Florence Merlevède'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 Florence Merlevède with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Merlevède more than expected).
Fields of papers citing papers by Florence Merlevède
This network shows the impact of papers produced by Florence Merlevède. 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 Florence Merlevède. The network helps show where Florence Merlevède may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Florence Merlevède, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 1 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2015 | 10 | |
| 11 | 2015 | 26 | |
| 12 | 2015 | 14 | |
| 13 | 2013 | 4 | |
| 14 | 2011 | 10 | |
| 15 | 2011 | 24 | |
| 16 | On a maximal inequality for strongly mixing random variables in Hilbert spaces. Application to the compact law of the iterated logarithm. | 2008 | 1 |
| 17 | 2005 | 10 | |
| 18 | 2003 | 2 | |
| 19 | 2003 | 29 | |
| 20 | 1999 | 28 |
About Florence Merlevède
Florence Merlevède is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 68 papers that have together received 840 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (31 papers), Stochastic processes and statistical mechanics (27 papers), Probability and Risk Models (18 papers), Stochastic processes and financial applications (18 papers), Mathematical Approximation and Integration (10 papers), Random Matrices and Applications (8 papers), Financial Risk and Volatility Modeling (8 papers) and Markov Chains and Monte Carlo Methods (8 papers). The work is most often cited by research in Mathematical Physics (445 citations), Statistics and Probability (384 citations) and Finance (311 citations). Florence Merlevède has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jérôme Dedecker, Magda Peligrad, Emmanuel Rio, Sergey Utev, Fabienne Comte, Dalibor Volný, Sébastien Gouëzel, Denis Bosq, Guy Cohen and Armelle Guillou. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications in Mathematical Physics 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.