Silvia Cagnone

22 papers and 284 indexed citations i.

About

Silvia Cagnone is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, Silvia Cagnone has authored 22 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in Silvia Cagnone’s work include Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (6 papers) and Advanced Statistical Methods and Models (5 papers). Silvia Cagnone is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Statistical Methods and Inference (6 papers) and Advanced Statistical Methods and Models (5 papers). Silvia Cagnone collaborates with scholars based in Italy, United Kingdom and Greece. Silvia Cagnone's co-authors include Cristina Bernini, Silvia Bianconcini, Vassilis Vasdekis, Irini Moustaki, Cinzia Viroli, Bhavani Shankar, Mario Mazzocchi, Tino Bech‐Larsen, Anna Saba and Wim Verbeke and has published in prestigious journals such as Statistics in Medicine, Psychometrika and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Co-authorship network of co-authors of Silvia Cagnone i

Fields of papers citing papers by Silvia Cagnone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Silvia Cagnone

Since Specialization
Citations

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