Frédéric Lavancier
Impact in
- Statistics and Probability top 5%
- Random Matrices and Applications
- Statistical Methods and Inference
- Applied Mathematics top 5%
- Point processes and geometric inequalities
Papers in
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- Point processes and geometric inequalities 14
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- Random Matrices and Applications 6
- Co-authors
- Jesper Möller (3 shared papers)Ege Rubak (3 shared papers)Christophe A. N. Biscio (4 shared papers)Anne Philippe (4 shared papers)Донатас Сургайлис (3 shared papers)Ronan Le Guével (2 shared papers)Remigijus Leipus (1 shared paper)Jean‐François Coeurjolly (2 shared papers)
In The Last Decade
Frédéric Lavancier
23 papers receiving 266 citations
Peers
Comparison fields: 5 of 60
- Statistics and Probability 100
- Applied Mathematics 112
- Mathematical Physics 55
- Finance 60
- Geometry and Topology 22
Countries citing papers authored by Frédéric Lavancier
This map shows the geographic impact of Frédéric Lavancier'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 Frédéric Lavancier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Lavancier more than expected).
Fields of papers citing papers by Frédéric Lavancier
This network shows the impact of papers produced by Frédéric Lavancier. 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 Frédéric Lavancier. The network helps show where Frédéric Lavancier may publish in the future.
Co-authors
The 13 scholars most cited alongside Frédéric Lavancier, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 98 | |
| 2 | 2015 | 31 | |
| 3 | 2009 | 30 | |
| 4 | 2007 | 19 | |
| 5 | 2016 | 18 | |
| 6 | 2015 | 9 | |
| 7 | 2010 | 9 | |
| 8 | 2010 | 9 | |
| 9 | 2013 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2006 | 4 | |
| 14 | 2008 | 4 | |
| 15 | 2014 | 3 | |
| 16 | About repulsiveness of determinantal point processes | 2014 | 2 |
| 17 | 2017 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2012 | 1 |
About Frédéric Lavancier
Frédéric Lavancier is a scholar working on Applied Mathematics, Statistics and Probability, Finance, Artificial Intelligence and Economics and Econometrics, having authored 26 papers that have together received 276 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (14 papers), Random Matrices and Applications (6 papers), Financial Risk and Volatility Modeling (6 papers), Complex Systems and Time Series Analysis (5 papers), Bayesian Methods and Mixture Models (5 papers), Stochastic processes and financial applications (4 papers), Morphological variations and asymmetry (4 papers) and Market Dynamics and Volatility (3 papers). The work is most often cited by research in Statistics and Probability (100 citations), Applied Mathematics (112 citations), Mathematical Physics (55 citations), Finance (60 citations) and Geometry and Topology (22 citations). Frédéric Lavancier has collaborated with scholars based in France, Denmark and Lithuania. Frequent co-authors include Jesper Möller, Ege Rubak, Christophe A. N. Biscio, Anne Philippe, Донатас Сургайлис, Ronan Le Guével, Remigijus Leipus, Jean‐François Coeurjolly, Rémi Bardenet and Xavier Mary. Their work appears in journals such as Scandinavian Journal of Statistics, Computational Statistics & Data Analysis, Electronic Journal of Statistics, Journal of the Royal Statistical Society Series B (Statistical Methodology) and Bernoulli.
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.