Daniel Revuz

21 papers and 5.5k indexed citations i.

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 5.5k 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

Co-authorship network of co-authors of Daniel Revuz i

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.

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).

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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