Nicolas Privault

2.4k citations
203 papers · 1.5k · h-index 20

Impact in

  • Finance top 1%
    • Stochastic processes and financial applications
    • Financial Risk and Volatility Modeling
    • Stochastic processes and statistical mechanics

Papers in

    • Stochastic processes and financial applications 91
    • Financial Risk and Volatility Modeling 24
    • Stochastic processes and statistical mechanics 27
    • advanced mathematical theories 14

Nicolas Privault

175 papers receiving 1.4k citations

Peers

Nicolas Privault
Comparison fields: 5 of 96
  • Finance 611
  • Mathematical Physics 361
  • Applied Mathematics 335
  • Statistics and Probability 238
  • Modeling and Simulation 63
Replace Laurent Decreusefond with:
Laurent Decreusefond France
A. N. Borodin Russia
Makoto Maejima Japan
Jean-Dominique Deuschel Germany
Jordan Stoyanov United Kingdom
Jay Rosen United States
Uwe Schmock Austria
Paavo Salminen Finland
Vladas Pipiras United States
Davar Khoshnevisan United States
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Citations per field
00.5×1.5×2.4×
Laurent Decreusefond · 1×
Citations per year

Countries citing papers authored by Nicolas Privault

Since Specialization
Citations

This map shows the geographic impact of Nicolas Privault'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 Nicolas Privault with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Privault more than expected).

Fields of papers citing papers by Nicolas Privault

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Privault. 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 Nicolas Privault. The network helps show where Nicolas Privault may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas Privault, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicolas Privault Line = papers co-authored together Nicolas Privault links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 203 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200091
2 201066
3 200958
4 201357
5 199456
6 201652
7 200851
8 200440
9 201839
10 201732
11 201628
12 201828
13 201527
14 201827
15 202127
16
Concentration and deviation inequalities in infinite dimensions via covariance representations
200224
17 201120
18 199519
19 200619
20 201319

About Nicolas Privault

Nicolas Privault is a scholar working on Finance, Mathematical Physics, Applied Mathematics, Statistics and Probability and Management Science and Operations Research, having authored 203 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (91 papers), Stochastic processes and statistical mechanics (27 papers), Point processes and geometric inequalities (26 papers), Financial Risk and Volatility Modeling (24 papers), Random Matrices and Applications (22 papers), Markov Chains and Monte Carlo Methods (14 papers), advanced mathematical theories (14 papers) and Geometric Analysis and Curvature Flows (12 papers). The work is most often cited by research in Finance (611 citations), Mathematical Physics (361 citations), Applied Mathematics (335 citations), Statistics and Probability (238 citations) and Modeling and Simulation (63 citations). Nicolas Privault has collaborated with scholars based in Singapore, France and Hong Kong. Frequent co-authors include Dusit Niyato, Ian Flint, Ping Wang, Bernt Øksendal, Knut K. Aase, Jan Ubøe, Xiao Lu, Youssef El‐Khatib, Han-Bae Kong and Giovanni Luca Torrisi. Their work appears in journals such as Lecture notes in mathematics, Potential Analysis, Comptes Rendus Mathématique, Journal of Applied Probability 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.

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