Roberto Colombi

27 papers and 353 indexed citations i.

About

Roberto Colombi is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Roberto Colombi has authored 27 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 7 papers in Management Science and Operations Research. Recurrent topics in Roberto Colombi’s work include Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (9 papers) and Bayesian Modeling and Causal Inference (8 papers). Roberto Colombi is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Advanced Statistical Methods and Models (9 papers) and Bayesian Modeling and Causal Inference (8 papers). Roberto Colombi collaborates with scholars based in Italy, Germany and United States. Roberto Colombi's co-authors include Gianmaria Martini, Giorgio Vittadini, Subal C. Kumbhakar, Antonio Forcina, Sabrina Giordano, Francesco Bartolucci, Manuela Cazzaro, Maria Iannario, Maria Kateri and Gerhard Tutz and has published in prestigious journals such as Biometrika, Journal of Statistical Software and Health Economics.

In The Last Decade

Co-authorship network of co-authors of Roberto Colombi i

Fields of papers citing papers by Roberto Colombi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Colombi

Since Specialization
Citations

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