Paul Doukhan
- Finance top 0.2%
- Statistics and Probability top 0.1%
- Economics and Econometrics top 1%
- Artificial Intelligence top 2%
- Mathematical Physics top 1%
- Co-authors
- Georges OppenheimMurad S. TaqquSana LouhichiPascal MassartJérôme DedeckerGabriel LangKonstantinos FokianosDag Tjøstheim
- Topics
- Financial Risk and Volatility Modeling (33 papers)Statistical Methods and Inference (25 papers)Bayesian Methods and Mixture Models (20 papers)
In The Last Decade
Paul Doukhan
58 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Finance 1.9k
- Statistics and Probability 1.7k
- Economics and Econometrics 868
- Artificial Intelligence 800
- Mathematical Physics 561
Countries citing papers authored by Paul Doukhan
This map shows the geographic impact of Paul Doukhan'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 Doukhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Doukhan more than expected).
Fields of papers citing papers by Paul Doukhan
This network shows the impact of papers produced by Paul Doukhan. 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 Doukhan. The network helps show where Paul Doukhan may publish in the future.
Co-authorship network of co-authors of Paul Doukhan
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Doukhan. A scholar is included among the top collaborators of Paul Doukhan 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 Doukhan. Paul Doukhan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 69 | |
| 7 | 0-1 laws for dependent images | 1 |
| 8 | 45 | |
| 9 | 30 | |
| 10 | 63 | |
| 11 | Theory and applications of long-range dependencebreakdown → | 756 |
| 12 | 77 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | Invariance principles for absolutely regular empirical processes | 143 |
| 16 | The functional central limit theorem for strongly mixing processes | 105 |
| 17 | Mixing: Properties and Examplesbreakdown → | 888 |
| 18 | 7 | |
| 19 | Une mesure de la déviation quadratique d'estimateurs non paramétriques | 1 |
| 20 | 32 |
About Paul Doukhan
Paul Doukhan is a scholar working on Finance, Statistics and Probability and Mathematical Physics, having authored 63 papers that have together received 3.6k indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (33 papers), Statistical Methods and Inference (25 papers) and Bayesian Methods and Mixture Models (20 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Finance (1.9k citations) and Mathematical Physics (561 citations). Paul Doukhan has collaborated with scholars based in France, Germany and Venezuela. Frequent co-authors include Georges Oppenheim, Murad S. Taqqu, Sana Louhichi, Pascal Massart, Jérôme Dedecker, Gabriel Lang, Konstantinos Fokianos, Dag Tjøstheim, Michael H. Neumann and José R. León. Their work appears in journals such as The Annals of Statistics, Probability Theory and Related Fields and Econometric Theory.
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.