Mauro Scanu

16 papers and 206 indexed citations i.

About

Mauro Scanu is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Mauro Scanu has authored 16 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 6 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Mauro Scanu’s work include Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Modeling and Causal Inference (4 papers). Mauro Scanu is often cited by papers focused on Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Modeling and Causal Inference (4 papers). Mauro Scanu collaborates with scholars based in Italy. Mauro Scanu's co-authors include Pier Luigi Conti, Marco Di Zio, Marcello D’Orazio, Lucia Coppola, Paola Vicard, Giulia Sacco and Giovanna Brancato and has published in prestigious journals such as Journal of the American Statistical Association, Social Indicators Research and Journal of the Royal Statistical Society Series A (Statistics in Society).

In The Last Decade

Co-authorship network of co-authors of Mauro Scanu i

Fields of papers citing papers by Mauro Scanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mauro Scanu

Since Specialization
Citations

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