Francesco Lagona

34 papers and 515 indexed citations i.

About

Francesco Lagona is a scholar working on Artificial Intelligence, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Francesco Lagona has authored 34 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Economics and Econometrics and 6 papers in Statistics and Probability. Recurrent topics in Francesco Lagona’s work include Bayesian Methods and Mixture Models (13 papers), Financial Risk and Volatility Modeling (6 papers) and Soil Geostatistics and Mapping (5 papers). Francesco Lagona is often cited by papers focused on Bayesian Methods and Mixture Models (13 papers), Financial Risk and Volatility Modeling (6 papers) and Soil Geostatistics and Mapping (5 papers). Francesco Lagona collaborates with scholars based in Italy, Germany and United Kingdom. Francesco Lagona's co-authors include Marco Picone, Antonello Maruotti, James W. Vaupel, Elisabetta Barbi, Kenneth W. Wachter, Fabio Padovano, Daniel A. Griffith, Jan Bulla, Zhen Zhang and Enrico Zambianchi and has published in prestigious journals such as Science, Statistics in Medicine and Aging Cell.

In The Last Decade

Co-authorship network of co-authors of Francesco Lagona i

Fields of papers citing papers by Francesco Lagona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Francesco Lagona

Since Specialization
Citations

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