Emmanuel Rio
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods and Inference
- Markov Chains and Monte Carlo Methods
- Finance top 2%
- Financial Risk and Volatility Modeling
- Stochastic processes and financial applications
Papers in
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- Stochastic processes and statistical mechanics 13
- Mathematical Dynamics and Fractals 11
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- Markov Chains and Monte Carlo Methods 10
- Statistical Methods and Inference 10
- Co-authors
- Florence Merlevède (9 shared papers)Thierry Klein (1 shared paper)Paul Doukhan (1 shared paper)Pascal Massart (1 shared paper)Magda Peligrad (1 shared paper)Bernard Bercu (2 shared papers)Bernard Delyon (1 shared paper)Jérôme Dedecker (6 shared papers)
In The Last Decade
Emmanuel Rio
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Statistics and Probability 742
- Finance 499
- Mathematical Physics 415
- Management Science and Operations Research 306
- Numerical Analysis 117
Countries citing papers authored by Emmanuel Rio
This map shows the geographic impact of Emmanuel Rio'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 Rio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Rio more than expected).
Fields of papers citing papers by Emmanuel Rio
This network shows the impact of papers produced by Emmanuel Rio. 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 Rio. The network helps show where Emmanuel Rio may publish in the future.
Co-authors
The 17 scholars most cited alongside Emmanuel Rio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Théorie asymptotique des processus aléatoires faiblement dépendants | 2000 | 172 |
| 2 | The functional central limit theorem for strongly mixing processes | 1994 | 107 |
| 3 | 1995 | 103 | |
| 4 | 2010 | 102 | |
| 5 | 2005 | 101 | |
| 6 | Covariance inequalities for strongly mixing processes | 1993 | 81 |
| 7 | 2017 | 66 | |
| 8 | 2008 | 55 | |
| 9 | 1996 | 53 | |
| 10 | 1995 | 46 | |
| 11 | 2009 | 45 | |
| 12 | 2015 | 45 | |
| 13 | 1994 | 45 | |
| 14 | 1997 | 44 | |
| 15 | 2000 | 32 | |
| 16 | 2001 | 27 | |
| 17 | 2005 | 26 | |
| 18 | 2011 | 24 | |
| 19 | Inequalities and limit theorems for weakly dependent sequences | 2013 | 22 |
| 20 | 1993 | 20 |
About Emmanuel Rio
Emmanuel Rio is a scholar working on Mathematical Physics, Statistics and Probability, Applied Mathematics, Numerical Analysis and Management Science and Operations Research, having authored 50 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mathematical Approximation and Integration (13 papers), Stochastic processes and statistical mechanics (13 papers), Probability and Risk Models (12 papers), Stochastic processes and financial applications (11 papers), Mathematical Dynamics and Fractals (11 papers), Markov Chains and Monte Carlo Methods (10 papers), Statistical Methods and Inference (10 papers) and Point processes and geometric inequalities (4 papers). The work is most often cited by research in Statistics and Probability (742 citations), Finance (499 citations), Mathematical Physics (415 citations), Management Science and Operations Research (306 citations) and Numerical Analysis (117 citations). Emmanuel Rio has collaborated with scholars based in France, Spain and Austria. Frequent co-authors include Florence Merlevède, Thierry Klein, Paul Doukhan, Pascal Massart, Magda Peligrad, Bernard Bercu, Bernard Delyon, Jérôme Dedecker, Pierre Del Moral and Olivier Warusfel. Their work appears in journals such as The Annals of Probability, Electronic Communications in Probability, Probability Theory and Related Fields, Electronic Journal of Probability and Stochastic Processes and their Applications.
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.