Alberto Roverato

35 papers and 2.1k indexed citations i.

About

Alberto Roverato is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Alberto Roverato has authored 35 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Artificial Intelligence and 7 papers in Statistics and Probability. Recurrent topics in Alberto Roverato’s work include Bayesian Modeling and Causal Inference (9 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (7 papers). Alberto Roverato is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Gene expression and cancer classification (7 papers) and Bioinformatics and Genomic Networks (7 papers). Alberto Roverato collaborates with scholars based in Italy, Spain and United States. Alberto Roverato's co-authors include Giovanni Guaraldi, Stefano Zona, Gabriella Orlando, Marianna Menozzi, Elisa Garlassi, Federica Carli, A Berti, FJ Palella, Elisa Rossi and Robert Castelo and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Infectious Diseases and Genetics.

In The Last Decade

Co-authorship network of co-authors of Alberto Roverato i

Fields of papers citing papers by Alberto Roverato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alberto Roverato

Since Specialization
Citations

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