Emmanuel Gobet
Impact in
- Finance top 0.5%
- Stochastic processes and financial applications
- Financial Risk and Volatility Modeling
- Statistics and Probability top 1%
- Statistical Methods and Inference
Papers in
- Finance 78
- Stochastic processes and financial applications 74
- Financial Risk and Volatility Modeling 23
- Capital Investment and Risk Analysis 9
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- Statistical Methods and Inference 16
- Co-authors
- Xavier WarinEric BenhamouCéline LabartStéphane MenozziRémi MunosDenis TalayMireille BossyArturo Kohatsu‐Higa
- Journals
- Stochastic Processes and their Applications (8 papers)Mathematical Finance (5 papers)SIAM Journal on Numerical Analysis (5 papers)Bernoulli (4 papers)Electronic Communications in Probability (4 papers)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Emmanuel Gobet
91 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 80
- Finance 1.4k
- Statistics and Probability 298
- Numerical Analysis 173
- Demography 296
- Mathematical Physics 201
Countries citing papers authored by Emmanuel Gobet
This map shows the geographic impact of Emmanuel Gobet'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 Emmanuel Gobet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Gobet more than expected).
Fields of papers citing papers by Emmanuel Gobet
This network shows the impact of papers produced by Emmanuel Gobet. 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 Emmanuel Gobet. The network helps show where Emmanuel Gobet may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Gobet, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 2 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 1 | |
| 12 | 2018 | 9 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 4 | |
| 15 | 2016 | 7 | |
| 16 | 2010 | 21 | |
| 17 | 2006 | 61 | |
| 18 | A spectral Monte Carlo method for the Poisson equation | 2004 | 6 |
| 19 | 2003 | 2 | |
| 20 | 2000 | 116 |
About Emmanuel Gobet
Emmanuel Gobet is a scholar working on Finance, Statistics and Probability, Statistics, Probability and Uncertainty, Numerical Analysis and Mathematical Physics, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (74 papers), Financial Risk and Volatility Modeling (23 papers), Advanced Mathematical Modeling in Engineering (16 papers), Statistical Methods and Inference (16 papers), Insurance, Mortality, Demography, Risk Management (13 papers), Probabilistic and Robust Engineering Design (10 papers), Stochastic processes and statistical mechanics (10 papers) and Capital Investment and Risk Analysis (9 papers). The work is most often cited by research in Finance (1.4k citations), Statistics and Probability (298 citations), Numerical Analysis (173 citations), Demography (296 citations) and Mathematical Physics (201 citations). Emmanuel Gobet has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Xavier Warin, Eric Benhamou, Céline Labart, Stéphane Menozzi, Rémi Munos, Denis Talay, Mireille Bossy, Arturo Kohatsu‐Higa, Stefano Pagliarani and Sylvain Maire. Their work appears in journals such as Stochastic Processes and their Applications, Mathematical Finance, SIAM Journal on Numerical Analysis, Bernoulli and Electronic Communications in 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.