Philippe Bougerol

2.4k citations
24 papers · 1.4k indexed · h-index 14
Topics
advanced mathematical theories (10 papers)Random Matrices and Applications (7 papers)Stochastic processes and statistical mechanics (7 papers)

In The Last Decade

Philippe Bougerol

23 papers receiving 1.3k citations

Peers

Philippe Bougerol
Comparison fields: 5 of 64
  • Finance 701
  • Mathematical Physics 516
  • Statistics and Probability 424
  • Economics and Econometrics 346
  • General Economics, Econometrics and Finance 221
Replace Ю. В. Ліннік with:
Ю. В. Ліннік
Péter Major Hungary
Jean Jacod United States
Joel Zinn United States
Marc Yor France
Peter K. Friz Germany
Friedrich Götze Germany
Ditlev Monrad United States
Paul Deheuvels France
Wim Vervaat Netherlands
Philippe Bougerol relative to Ю. В. Ліннік Ю. В. Ліннік's profile →
Citations per field
00.5×4.7×
Ю. В. Ліннік · 1×
Citations per year

Countries citing papers authored by Philippe Bougerol

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Bougerol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Bougerol

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Bougerol. A scholar is included among the top collaborators of Philippe Bougerol 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 Philippe Bougerol. Philippe Bougerol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Pitman transforms and Brownian motion in the interval viewed as an affine alcove
1
3 15
4 47
5 16
6 26
7 3
8 12
9 2
10
Existence of positive harmonic functions on groups and on covering manifolds
6
11 15
12 3
13 147
14 277
15 377
16
Comparaison des exposants de Lyapounov des processus markoviens multiplicatifs
12
17 1
18 271
19
Exemples de théorèmes locaux sur les groupes résolubles
30
20 27

About Philippe Bougerol

Philippe Bougerol is a scholar working on Mathematical Physics, Statistics and Probability and Discrete Mathematics and Combinatorics, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include advanced mathematical theories (10 papers), Random Matrices and Applications (7 papers) and Stochastic processes and statistical mechanics (7 papers). The work is most often cited by research in Finance (701 citations), Mathematical Physics (516 citations) and Statistics and Probability (424 citations). Philippe Bougerol has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Jean Lacroix, Thierry Jeulin, Neil O’Connell, Philippe Biane, Jean-Philippe Anker, S. Fakhfakh, Jean Lacroix and William G. Faris. Their work appears in journals such as Journal of the American Statistical Association, Journal of Econometrics and SIAM Journal on Control and Optimization.

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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