Bruno Saussereau
- Finance top 5%
- Applied Mathematics top 5%
- Modeling and Simulation top 5%
- Mathematical Physics top 10%
- Statistics and Probability top 10%
- Co-authors
- David NualartAntoine PerassoRaluca EftimieVlad BallyVictor FrossardFrançois GilletQuentin LepillerVincent Brault
- Topics
- Stochastic processes and financial applications (9 papers)Financial Risk and Volatility Modeling (9 papers)Monetary Policy and Economic Impact (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationJournal of Theoretical Biology
- Partner nations
- FranceSwitzerlandRomania
In The Last Decade
Bruno Saussereau
22 papers receiving 231 citations
Peers
Comparison fields: 5 of 51
- Finance 135
- Applied Mathematics 67
- Modeling and Simulation 65
- Mathematical Physics 42
- Statistics and Probability 37
Countries citing papers authored by Bruno Saussereau
This map shows the geographic impact of Bruno Saussereau'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 Bruno Saussereau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Saussereau more than expected).
Fields of papers citing papers by Bruno Saussereau
This network shows the impact of papers produced by Bruno Saussereau. 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 Bruno Saussereau. The network helps show where Bruno Saussereau may publish in the future.
Co-authorship network of co-authors of Bruno Saussereau
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Saussereau. A scholar is included among the top collaborators of Bruno Saussereau 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 Bruno Saussereau. Bruno Saussereau 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 | 4 | |
| 4 | 36 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 33 | |
| 13 | 3 | |
| 14 | 31 | |
| 15 | 1 | |
| 16 | 67 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 12 | |
| 20 | 1 |
About Bruno Saussereau
Bruno Saussereau is a scholar working on Finance, Statistics and Probability and Modeling and Simulation, having authored 23 papers that have together received 242 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (9 papers), Financial Risk and Volatility Modeling (9 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Modeling and Simulation (65 citations), Finance (135 citations) and Applied Mathematics (67 citations). Bruno Saussereau has collaborated with scholars based in France, Switzerland and Romania. Frequent co-authors include David Nualart, Antoine Perasso, Raluca Eftimie, Vlad Bally, Victor Frossard, François Gillet, Quentin Lepiller, Vincent Brault and Jean‐Marc Bardet. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Theoretical Biology.
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.