Bernard Lapeyre
- Finance top 2%
- Economics and Econometrics top 5%
- Numerical Analysis top 5%
- Computational Theory and Mathematics top 5%
- Management Science and Operations Research top 10%
- Co-authors
- Damien LambertonPatrick JailletÉtienne PardouxRémi SentisPatrick P. MercierStéphane VialleÉmile QuinetMarc Gaudry
- Topics
- Stochastic processes and financial applications (11 papers)Insurance, Mortality, Demography, Risk Management (5 papers)Financial Risk and Volatility Modeling (3 papers)
In The Last Decade
Bernard Lapeyre
17 papers receiving 610 citations
Peers
Comparison fields: 5 of 76
- Finance 422
- Economics and Econometrics 159
- Numerical Analysis 100
- Computational Theory and Mathematics 96
- Management Science and Operations Research 69
Countries citing papers authored by Bernard Lapeyre
This map shows the geographic impact of Bernard Lapeyre'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 Bernard Lapeyre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Lapeyre more than expected).
Fields of papers citing papers by Bernard Lapeyre
This network shows the impact of papers produced by Bernard Lapeyre. 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 Bernard Lapeyre. The network helps show where Bernard Lapeyre may publish in the future.
Co-authorship network of co-authors of Bernard Lapeyre
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Lapeyre. A scholar is included among the top collaborators of Bernard Lapeyre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernard Lapeyre. Bernard Lapeyre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 20 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | A framework for adaptive Monte Carlo procedures | 18 |
| 8 | 3 | |
| 9 | 172 | |
| 10 | 19 | |
| 11 | 46 | |
| 12 | Méthodes de Monte-Carlo pour les équations de transport et de diffusion | 32 |
| 13 | Introduction au calcul stochastique appliqué à la finance | 46 |
| 14 | 5 | |
| 15 | 282 | |
| 16 | 5 | |
| 17 | 3 |
About Bernard Lapeyre
Bernard Lapeyre is a scholar working on Finance, Demography and Numerical Analysis, having authored 17 papers that have together received 675 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (11 papers), Insurance, Mortality, Demography, Risk Management (5 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in Finance (422 citations), Numerical Analysis (100 citations) and Computational Theory and Mathematics (96 citations). Bernard Lapeyre has collaborated with scholars based in France, Austria and Italy. Frequent co-authors include Damien Lamberton, Patrick Jaillet, Étienne Pardoux, Rémi Sentis, Patrick P. Mercier, Stéphane Vialle, Émile Quinet, Marc Gaudry, Benjamin Jourdain and Jean‐Philippe Chancelier. Their work appears in journals such as Transportation Research Part B Methodological, Probability Theory and Related Fields and Mathematical Finance.
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.