Nathalie Eisenbaum
- Mathematical Physics top 5%
- Finance top 5%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Applied Mathematics top 10%
- Co-authors
- Haya KaspiZhan ShiMichael B. MarcusJay RosenDavar KhoshnevisanRichard F. BassAndreas E. KyprianouVíctor Peña
- Topics
- Stochastic processes and financial applications (21 papers)Stochastic processes and statistical mechanics (17 papers)Markov Chains and Monte Carlo Methods (8 papers)
- Journals
- Journal of Mathematical BiologyBulletin of the London Mathematical SocietyThe Annals of Probability
- Partner nations
- FranceUnited StatesIsrael
In The Last Decade
Nathalie Eisenbaum
28 papers receiving 241 citations
Peers
Comparison fields: 5 of 28
- Mathematical Physics 166
- Finance 157
- Statistics and Probability 72
- Management Science and Operations Research 49
- Applied Mathematics 42
Countries citing papers authored by Nathalie Eisenbaum
This map shows the geographic impact of Nathalie Eisenbaum'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 Nathalie Eisenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Eisenbaum more than expected).
Fields of papers citing papers by Nathalie Eisenbaum
This network shows the impact of papers produced by Nathalie Eisenbaum. 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 Nathalie Eisenbaum. The network helps show where Nathalie Eisenbaum may publish in the future.
Co-authorship network of co-authors of Nathalie Eisenbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Eisenbaum. A scholar is included among the top collaborators of Nathalie Eisenbaum 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 Nathalie Eisenbaum. Nathalie Eisenbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 11 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 16 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 45 | |
| 19 | 5 | |
| 20 | 9 |
About Nathalie Eisenbaum
Nathalie Eisenbaum is a scholar working on Mathematical Physics, Finance and Statistics and Probability, having authored 32 papers that have together received 268 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (21 papers), Stochastic processes and statistical mechanics (17 papers) and Markov Chains and Monte Carlo Methods (8 papers). The work is most often cited by research in Mathematical Physics (166 citations), Finance (157 citations) and Statistics and Probability (72 citations). Nathalie Eisenbaum has collaborated with scholars based in France, United States and Israel. Frequent co-authors include Haya Kaspi, Zhan Shi, Michael B. Marcus, Jay Rosen, Davar Khoshnevisan, Richard F. Bass, Andreas E. Kyprianou, Víctor Peña, Mohammud Foondun and Antónia Földes. Their work appears in journals such as Journal of Mathematical Biology, Bulletin of the London Mathematical Society and The Annals of Probability.
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.