Pál Révész

103 papers and 1.8k indexed citations i.

About

Pál Révész is a scholar working on Mathematical Physics, Finance and Statistics and Probability. According to data from OpenAlex, Pál Révész has authored 103 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Mathematical Physics, 24 papers in Finance and 22 papers in Statistics and Probability. Recurrent topics in Pál Révész’s work include Stochastic processes and statistical mechanics (49 papers), Stochastic processes and financial applications (23 papers) and Mathematical Dynamics and Fractals (22 papers). Pál Révész is often cited by papers focused on Stochastic processes and statistical mechanics (49 papers), Stochastic processes and financial applications (23 papers) and Mathematical Dynamics and Fractals (22 papers). Pál Révész collaborates with scholars based in Hungary, Austria and United States. Pál Révész's co-authors include Miklós Csörgő, Endre Csáki, Antónia Földes, A. Rényi, Zhan Shi, Paul Deheuvels, Péter L. Erdős, John Haigh, Peter Gaenssler and Jay Rosen and has published in prestigious journals such as The Annals of Statistics, Journal of Epidemiology & Community Health and Lecture notes in mathematics.

In The Last Decade

Co-authorship network of co-authors of Pál Révész i

Fields of papers citing papers by Pál Révész

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pál Révész

Since Specialization
Citations

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