Roberto Rocci

37 papers and 494 indexed citations i.

About

Roberto Rocci is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Roberto Rocci has authored 37 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 12 papers in Signal Processing. Recurrent topics in Roberto Rocci’s work include Bayesian Methods and Mixture Models (14 papers), Tensor decomposition and applications (11 papers) and Advanced Clustering Algorithms Research (8 papers). Roberto Rocci is often cited by papers focused on Bayesian Methods and Mixture Models (14 papers), Tensor decomposition and applications (11 papers) and Advanced Clustering Algorithms Research (8 papers). Roberto Rocci collaborates with scholars based in Italy, The Netherlands and United States. Roberto Rocci's co-authors include Maurizio Vichi, Salvatore Ingrassia, Jos M. F. ten Berge, Antonello Maruotti, Stefano Antonio Gattone, Henk A. L. Kiers, Paolo Giordani, Murray Aitkin, Nicholas D. Sidiropoulos and Marco Di Zio and has published in prestigious journals such as Statistics in Medicine, Psychometrika and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

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

Fields of papers citing papers by Roberto Rocci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Roberto Rocci

Since Specialization
Citations

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