Paolo Garbolino

19 papers and 348 indexed citations i.

About

Paolo Garbolino is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Paolo Garbolino has authored 19 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Statistics and Probability. Recurrent topics in Paolo Garbolino’s work include Bayesian Modeling and Causal Inference (12 papers), Anomaly Detection Techniques and Applications (5 papers) and Jury Decision Making Processes (3 papers). Paolo Garbolino is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Anomaly Detection Techniques and Applications (5 papers) and Jury Decision Making Processes (3 papers). Paolo Garbolino collaborates with scholars based in Italy, Switzerland and United Kingdom. Paolo Garbolino's co-authors include Franco Taroni, Colin Aitken, Alex Biedermann, Silvia Bozza, Silvia Bozza and Tacha Hicks and has published in prestigious journals such as Theoretical Population Biology, Forensic Science International and Science & Justice.

In The Last Decade

Co-authorship network of co-authors of Paolo Garbolino i

Fields of papers citing papers by Paolo Garbolino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Paolo Garbolino

Since Specialization
Citations

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