Fulvia Pennoni

32 papers and 609 indexed citations i.

About

Fulvia Pennoni is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Fulvia Pennoni has authored 32 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 13 papers in Artificial Intelligence and 5 papers in Sociology and Political Science. Recurrent topics in Fulvia Pennoni’s work include Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (12 papers). Fulvia Pennoni is often cited by papers focused on Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (13 papers) and Statistical Methods and Inference (12 papers). Fulvia Pennoni collaborates with scholars based in Italy, New Zealand and Poland. Fulvia Pennoni's co-authors include Francesco Bartolucci, Albert B. Lowenfels, Michaela Saisana, Donald A. Brand, Silvia Bacci, Alessio Farcomeni, Giorgio Vittadini, Brian Francis, Isabella Romeo and Carla Rampichini and has published in prestigious journals such as PLoS ONE, Biometrics and PLoS Medicine.

In The Last Decade

Co-authorship network of co-authors of Fulvia Pennoni i

Fields of papers citing papers by Fulvia Pennoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fulvia Pennoni

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025