Antonio Canale

59 papers and 494 indexed citations i.

About

Antonio Canale is a scholar working on Statistics and Probability, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Antonio Canale has authored 59 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 29 papers in Artificial Intelligence and 8 papers in Automotive Engineering. Recurrent topics in Antonio Canale’s work include Bayesian Methods and Mixture Models (26 papers), Statistical Methods and Inference (19 papers) and Statistical Methods and Bayesian Inference (19 papers). Antonio Canale is often cited by papers focused on Bayesian Methods and Mixture Models (26 papers), Statistical Methods and Inference (19 papers) and Statistical Methods and Bayesian Inference (19 papers). Antonio Canale collaborates with scholars based in Italy, United States and United Kingdom. Antonio Canale's co-authors include David B. Dunson, Simone Vantini, Igor Prünster, Bernardo Nipoti, Matteo Ruggiero, Andrea Pilotto, Alessandro Padovani, Stefano Cotti Piccinelli, Pierpaolo De Blasi and Stefano Gipponi and has published in prestigious journals such as Journal of the American Statistical Association, Water Resources Research and Biometrics.

In The Last Decade

Co-authorship network of co-authors of Antonio Canale i

Fields of papers citing papers by Antonio Canale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonio Canale

Since Specialization
Citations

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