Daniel Revuz

8.9k total citations · 2 hit papers
21 papers, 4.9k citations indexed

About

Daniel Revuz is a scholar working on Mathematical Physics, Geometry and Topology and Computational Theory and Mathematics. According to data from OpenAlex, Daniel Revuz has authored 21 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Mathematical Physics, 5 papers in Geometry and Topology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Daniel Revuz's work include Advanced Topology and Set Theory (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Homotopy and Cohomology in Algebraic Topology (3 papers). Daniel Revuz is often cited by papers focused on Advanced Topology and Set Theory (5 papers), Markov Chains and Monte Carlo Methods (3 papers) and Homotopy and Cohomology in Algebraic Topology (3 papers). Daniel Revuz collaborates with scholars based in France. Daniel Revuz's co-authors include Marc Yor, Marc Yor and Jacques Azéma and has published in prestigious journals such as Annals of Mathematics, Transactions of the American Mathematical Society and The Annals of Probability.

In The Last Decade

Daniel Revuz

16 papers receiving 4.4k citations

Hit Papers

Continuous Martingales and Brownian Motion 1991 2026 2002 2014 1999 1991 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Continuous Martingales and Brownian Motion
    1999 3.3k citations Daniel Revuz, Marc Yor CERN Document Server (European Organization for Nuclear Research) profile →
  2. Continuous Martingales and Brownian Motion
    1991 1.3k citations Daniel Revuz, Marc Yor CERN Document Server (European Organization for Nuclear Research) profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Revuz France 10 3.0k 2.0k 838 771 692 21 4.9k
Shinzo Watanabe Japan 26 3.0k 1.0× 2.4k 1.2× 691 0.8× 408 0.5× 1.2k 1.7× 60 5.4k
Nobuyuki Ikeda Japan 17 1.8k 0.6× 1.5k 0.8× 425 0.5× 277 0.4× 783 1.1× 40 3.5k
Ν. H. Bingham United Kingdom 29 1.8k 0.6× 2.0k 1.0× 1.1k 1.3× 483 0.6× 745 1.1× 175 5.0k
Gopinath Kallianpur United States 10 1.9k 0.6× 1.2k 0.6× 348 0.4× 322 0.4× 734 1.1× 21 3.4k
Ken‐iti Sato Japan 19 2.2k 0.7× 1.3k 0.6× 616 0.7× 498 0.6× 578 0.8× 71 3.4k
Marc Yor France 24 2.7k 0.9× 1.2k 0.6× 448 0.5× 858 1.1× 401 0.6× 103 3.8k
David Nualart Spain 30 3.9k 1.3× 1.7k 0.8× 435 0.5× 920 1.2× 998 1.4× 128 4.8k
Kai Lai Chung United States 25 1.3k 0.4× 2.3k 1.1× 1.4k 1.7× 575 0.7× 670 1.0× 92 6.4k
L. C. G. Rogers United Kingdom 37 4.9k 1.6× 1.8k 0.9× 1.1k 1.3× 2.1k 2.7× 641 0.9× 131 8.1k
Charles M. Goldie United Kingdom 21 1.8k 0.6× 1.5k 0.7× 1.2k 1.5× 512 0.7× 413 0.6× 52 3.9k

Countries citing papers authored by Daniel Revuz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Revuz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Revuz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Revuz. A scholar is included among the top collaborators of Daniel Revuz 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 Daniel Revuz. Daniel Revuz 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
1.
Revuz, Daniel & Marc Yor. (1999). Continuous Martingales and Brownian Motion. CERN Document Server (European Organization for Nuclear Research). 3341 indexed citations breakdown →
2.
Revuz, Daniel. (1997). Mesure et intégration. Hermann eBooks. 3 indexed citations
3.
Revuz, Daniel & Marc Yor. (1991). Continuous Martingales and Brownian Motion. CERN Document Server (European Organization for Nuclear Research). 1263 indexed citations breakdown →
4.
Revuz, Daniel. (1983). Lois du tout ou rien et comportement asymptotique pour les probabilités de transition des processus de Markov. French digital mathematics library (Numdam). 19(1). 9–24.
5.
Revuz, Daniel. (1978). Remarks on the filling scheme for recurrent Markov chains. Duke Mathematical Journal. 45(3). 3 indexed citations
6.
Revuz, Daniel, et al.. (1977). Marches de Harris Sur Les Groupes Localement Compact IV. Annals of Mathematics. 105(2). 361–361.
7.
Revuz, Daniel, et al.. (1976). Marches de Harris sur les groupes localement compacts. II. Bulletin de la Société mathématique de France. 79. 3–31. 2 indexed citations
8.
Revuz, Daniel, et al.. (1975). Sur la theorie du renouvellement pour les groupes non abfliens. Israel Journal of Mathematics. 20(1). 46–56.
9.
Revuz, Daniel, et al.. (1974). Quelques applications probabilistes de la quasi-compacité. French digital mathematics library (Numdam). 10(3). 301–337. 13 indexed citations
10.
Revuz, Daniel, et al.. (1974). Un Critere Probabiliste de Compacite Des Groupes. The Annals of Probability. 2(4). 1 indexed citations
11.
Revuz, Daniel, et al.. (1974). Marches récurrentes au sens de Harris sur les groupes localement compacts. I. Annales Scientifiques de l École Normale Supérieure. 7(2). 273–310. 4 indexed citations
12.
Revuz, Daniel. (1973). Sur les op�rateurs potentiels au sens de Yosida. Probability Theory and Related Fields. 25(3). 199–203. 2 indexed citations
13.
Revuz, Daniel. (1971). Sur la théorie du potentiel pour les processus de Markov récurrents. Annales de l’institut Fourier. 21(3). 245–262. 4 indexed citations
14.
Revuz, Daniel. (1970). Theoremes limites pour les resolvantes recurrentes. Rendiconti del Circolo Matematico di Palermo Series 2. 19(3). 294–300. 1 indexed citations
15.
Revuz, Daniel. (1970). Mesures Associees Aux Fonctionnelles Additives de Markov. I. Transactions of the American Mathematical Society. 148(2). 501–501. 13 indexed citations
16.
Revuz, Daniel. (1970). Mesures associ�es aux fonctionnelles additives de Markov. II. Probability Theory and Related Fields. 16(4). 336–344. 14 indexed citations
17.
Revuz, Daniel, et al.. (1969). Propriétés asymptotiques des probabilités de transition des processus de Markov récurrents. French digital mathematics library (Numdam). 5(3). 233–244. 9 indexed citations
18.
Azéma, Jacques, et al.. (1969). Propri�t�s relatives des processus de Markov r�currents. Probability Theory and Related Fields. 13(3-4). 286–314. 20 indexed citations
19.
Azéma, Jacques, et al.. (1967). Mesure invariante sur les classes r�currentes des processus de Markov. Probability Theory and Related Fields. 8(3). 157–181. 76 indexed citations
20.
Azéma, Jacques, et al.. (1966). Récurrence fine des processus de Markov. French digital mathematics library (Numdam). 2(3). 185–220. 16 indexed citations

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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