Cataldo Musto

39 papers and 595 indexed citations i.

About

Cataldo Musto is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cataldo Musto has authored 39 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 31 papers in Information Systems and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cataldo Musto’s work include Recommender Systems and Techniques (31 papers), Topic Modeling (13 papers) and Advanced Graph Neural Networks (8 papers). Cataldo Musto is often cited by papers focused on Recommender Systems and Techniques (31 papers), Topic Modeling (13 papers) and Advanced Graph Neural Networks (8 papers). Cataldo Musto collaborates with scholars based in Italy, The Netherlands and Denmark. Cataldo Musto's co-authors include Pasquale Lops, Giovanni Semeraro, Marco de Gemmis, Fedelucio Narducci, Marijn Koolen, Toine Bogers, Dietmar Jannach, Pierpaolo Basile, Marco Polignano and Vittorio Lingiardi and has published in prestigious journals such as IEEE Access, Information Sciences and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Cataldo Musto i

Fields of papers citing papers by Cataldo Musto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cataldo Musto

Since Specialization
Citations

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