Éric Fournié
- Finance top 1%
- Stochastic processes and financial applications 6
- Financial Risk and Volatility Modeling 4
- Numerical Analysis top 10%
- Demography top 5%
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals 2
- Statistics and Probability top 5%
-
- Advanced X-ray and CT Imaging 14
-
- Medical Imaging Techniques and Applications 11
- Radiation Dose and Imaging 8
- Cardiac Imaging and Diagnostics 2
-
- Complex Systems and Time Series Analysis 3
- Co-authors
- Jean‐Michel LasryNizar TouziPierre-Louis LionsPierre‐Louis LionsKarl StierstorferNigel J. NewtonGuy BarlesPeter Bossaerts
- Cited by
- FinanceNumerical AnalysisDemography
In The Last Decade
Éric Fournié
22 papers receiving 649 citations
Peers
Comparison fields: 5 of 59
- Finance 517
- Numerical Analysis 63
- Demography 119
- Mathematical Physics 65
- Statistics and Probability 53
Countries citing papers authored by Éric Fournié
This map shows the geographic impact of Éric Fournié'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 Éric Fournié with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Fournié more than expected).
Fields of papers citing papers by Éric Fournié
This network shows the impact of papers produced by Éric Fournié. 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 Éric Fournié. The network helps show where Éric Fournié may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Éric Fournié, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 26 | |
| 11 | 2019 | 3 | |
| 12 | CT Field of View Extension Using Combined Channels Extension and Deep Learning Methods | 2019 | 1 |
| 13 | 2018 | 22 | |
| 14 | 2001 | 121 | |
| 15 | Applications of Malliavin Calculus to Monte Carlo Methods in Finance | 1999 | 21 |
| 16 | 1997 | 125 | |
| 17 | 1997 | 21 | |
| 18 | 1995 | 1 | |
| 19 | Estimateur de la distance maximale pour le processus de diffusion ergodiques | 1993 | 4 |
| 20 | Un Test de type Kolmogorov-smirnov pour processus de diffusion ergodiques | 1992 | 6 |
About Éric Fournié
Éric Fournié is a scholar working on Radiology, Nuclear Medicine and Imaging, Finance and Mathematical Physics, having authored 22 papers that have together received 703 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (14 papers), Medical Imaging Techniques and Applications (11 papers), Radiation Dose and Imaging (8 papers), Stochastic processes and financial applications (6 papers), Financial Risk and Volatility Modeling (4 papers), Complex Systems and Time Series Analysis (3 papers), Mathematical Dynamics and Fractals (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Finance (517 citations), Numerical Analysis (63 citations) and Demography (119 citations). Éric Fournié has collaborated with scholars based in Germany, France and China. Frequent co-authors include Jean‐Michel Lasry, Nizar Touzi, Pierre-Louis Lions, Pierre‐Louis Lions, Karl Stierstorfer, Nigel J. Newton, Guy Barles, Peter Bossaerts, Nicole El Karoui and L. C. G. Rogers.
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.