Paul Malliavin
- Mathematical Physics top 0.5%
- Finance top 0.5%
- Applied Mathematics top 0.5%
- Computational Theory and Mathematics top 1%
- Geometry and Topology top 2%
- Co-authors
- Arne BeurlingMaria Elvira MancinoAnton ThalmaierAna Bela CruzeiroHélène AiraultDavid NualartShizan FangDaniel W. Stroock
- Topics
- advanced mathematical theories (20 papers)Stochastic processes and financial applications (17 papers)Geometric Analysis and Curvature Flows (14 papers)
In The Last Decade
Paul Malliavin
73 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Mathematical Physics 1.0k
- Finance 1.0k
- Applied Mathematics 985
- Computational Theory and Mathematics 369
- Geometry and Topology 335
Countries citing papers authored by Paul Malliavin
This map shows the geographic impact of Paul Malliavin'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 Paul Malliavin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Malliavin more than expected).
Fields of papers citing papers by Paul Malliavin
This network shows the impact of papers produced by Paul Malliavin. 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 Paul Malliavin. The network helps show where Paul Malliavin may publish in the future.
Co-authorship network of co-authors of Paul Malliavin
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Malliavin. A scholar is included among the top collaborators of Paul Malliavin 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 Paul Malliavin. Paul Malliavin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 18 | |
| 7 | The Price-Volatility Feedback Rate: An Implementable Mathematical Indicator of Market Stability | 2 |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 26 | |
| 12 | Intégration et analyse de Fourier ; Probabilités et analyse gaussienne | 2 |
| 13 | 28 | |
| 14 | Compact families of Wiener functionals | 37 |
| 15 | 24 | |
| 16 | 49 | |
| 17 | Intégration et probabilités ; Analyse de Fourier et analyse spectrale | 6 |
| 18 | Géométrie différentielle stochastique | 35 |
| 19 | 47 | |
| 20 | 13 |
About Paul Malliavin
Paul Malliavin is a scholar working on Mathematical Physics, Applied Mathematics and Algebra and Number Theory, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include advanced mathematical theories (20 papers), Stochastic processes and financial applications (17 papers) and Geometric Analysis and Curvature Flows (14 papers). The work is most often cited by research in Mathematical Physics (1.0k citations), Finance (1.0k citations) and Applied Mathematics (985 citations). Paul Malliavin has collaborated with scholars based in France, Italy and Portugal. Frequent co-authors include Arne Beurling, Maria Elvira Mancino, Anton Thalmaier, Ana Bela Cruzeiro, Hélène Airault, David Nualart, Shizan Fang, Daniel W. Stroock, Giuseppe Da Prato and Lee A. Rubel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Lecture notes in mathematics and Journal of Functional Analysis.
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.