Andrea Capotorti

About

Andrea Capotorti is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Andrea Capotorti has authored 25 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 6 papers in Management Science and Operations Research. Recurrent topics in Andrea Capotorti’s work include Bayesian Modeling and Causal Inference (10 papers), Logic, Reasoning, and Knowledge (9 papers) and Rough Sets and Fuzzy Logic (5 papers). Andrea Capotorti is often cited by papers focused on Bayesian Modeling and Causal Inference (10 papers), Logic, Reasoning, and Knowledge (9 papers) and Rough Sets and Fuzzy Logic (5 papers). Andrea Capotorti collaborates with scholars based in Italy, United States and New Zealand. Andrea Capotorti's co-authors include Barbara Vantaggi, Marco Baioletti, Gianna Figà‐Talamanca, Giulianella Coletti, Alessandro Brozzi, Giuseppe Sanfilippo, Frank Lad, Laura Galli, Raffaella Branciari and Andrea Formisano and has published in prestigious journals such as Fuzzy Sets and Systems, Food Control and The American Statistician.

In The Last Decade

Co-authorship network of co-authors of Andrea Capotorti i

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Fields of papers citing papers by Andrea Capotorti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Capotorti

Since Specialization

Citations

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