Paolo Dai Pra

60 papers and 831 indexed citations i.

About

Paolo Dai Pra is a scholar working on Mathematical Physics, Finance and Statistics and Probability. According to data from OpenAlex, Paolo Dai Pra has authored 60 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Mathematical Physics, 18 papers in Finance and 17 papers in Statistics and Probability. Recurrent topics in Paolo Dai Pra’s work include Stochastic processes and statistical mechanics (24 papers), Markov Chains and Monte Carlo Methods (15 papers) and Stochastic processes and financial applications (15 papers). Paolo Dai Pra is often cited by papers focused on Stochastic processes and statistical mechanics (24 papers), Markov Chains and Monte Carlo Methods (15 papers) and Stochastic processes and financial applications (15 papers). Paolo Dai Pra collaborates with scholars based in Italy, France and Germany. Paolo Dai Pra's co-authors include Wolfgang J. Runggaldier, Frank den Hollander, Markus Fischer, Pietro Caputo, Anna Maria Paganoni, Elena Sartori, Sylvie Rœlly, Benedetto Scoppola, Elisabetta Scoppola and Amine Asselah and has published in prestigious journals such as IEEE Transactions on Automatic Control, Communications on Pure and Applied Mathematics and Journal of Statistical Physics.

In The Last Decade

Co-authorship network of co-authors of Paolo Dai Pra i

Fields of papers citing papers by Paolo Dai Pra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paolo Dai Pra. 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 Paolo Dai Pra. The network helps show where Paolo Dai Pra may publish in the future.

Countries citing papers authored by Paolo Dai Pra

Since Specialization
Citations

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