Fabrizio Leisen

43 papers and 338 indexed citations i.

About

Fabrizio Leisen is a scholar working on Artificial Intelligence, Statistics and Probability and Finance. According to data from OpenAlex, Fabrizio Leisen has authored 43 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 30 papers in Statistics and Probability and 12 papers in Finance. Recurrent topics in Fabrizio Leisen’s work include Bayesian Methods and Mixture Models (31 papers), Statistical Methods and Bayesian Inference (15 papers) and Financial Risk and Volatility Modeling (12 papers). Fabrizio Leisen is often cited by papers focused on Bayesian Methods and Mixture Models (31 papers), Statistical Methods and Bayesian Inference (15 papers) and Financial Risk and Volatility Modeling (12 papers). Fabrizio Leisen collaborates with scholars based in United Kingdom, Italy and Spain. Fabrizio Leisen's co-authors include Roberto Casarin, Federico Bassetti, Jim E. Griffin, Antonio Lijoi, Luciana Dalla Valle, Irene Crimaldi, Luca Rossini, Radu V. Craiu, George Karabatsos and Michele Guindani and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Journal of Econometrics.

In The Last Decade

Co-authorship network of co-authors of Fabrizio Leisen i

Fields of papers citing papers by Fabrizio Leisen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fabrizio Leisen

Since Specialization
Citations

This map shows the geographic impact of Fabrizio Leisen'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 Fabrizio Leisen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Leisen 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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2025