Cataldo Musto

180 total papers · 3.1k total citations
99 papers, 1.4k citations indexed

About

Cataldo Musto is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cataldo Musto has authored 99 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Information Systems, 77 papers in Artificial Intelligence and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cataldo Musto's work include Recommender Systems and Techniques (76 papers), Topic Modeling (37 papers) and Advanced Graph Neural Networks (24 papers). Cataldo Musto is often cited by papers focused on Recommender Systems and Techniques (76 papers), Topic Modeling (37 papers) and Advanced Graph Neural Networks (24 papers). Cataldo Musto collaborates with scholars based in Italy, Netherlands and Denmark. Cataldo Musto's co-authors include Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci, Marco Polignano, Pierpaolo Basile, Dietmar Jannach, Toine Bogers, Marijn Koolen and Vittorio Lingiardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.

In The Last Decade

Cataldo Musto

86 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cataldo Musto 919 916 233 139 104 99 1.4k
Jürgen Ziegler 687 0.7× 612 0.7× 278 1.2× 144 1.0× 116 1.1× 138 1.5k
Joeran Beel 862 0.9× 962 1.1× 143 0.6× 137 1.0× 142 1.4× 65 1.6k
Alessandro Bozzon 855 0.9× 682 0.7× 228 1.0× 215 1.5× 129 1.2× 143 1.8k
Mária Bieliková 799 0.9× 863 0.9× 198 0.8× 174 1.3× 62 0.6× 188 1.6k
Roliana Ibrahim 849 0.9× 607 0.7× 124 0.5× 161 1.2× 166 1.6× 119 1.7k
Maizatul Akmar Ismail 586 0.6× 502 0.5× 190 0.8× 177 1.3× 105 1.0× 89 1.7k
Mark D. Smucker 915 1.0× 956 1.0× 186 0.8× 177 1.3× 187 1.8× 70 1.6k
Xavier Ochôa 501 0.5× 682 0.7× 215 0.9× 89 0.6× 77 0.7× 113 1.8k
Shahrul Azman Mohd Noah 755 0.8× 558 0.6× 183 0.8× 105 0.8× 66 0.6× 164 1.4k
Praveen Pathak 668 0.7× 535 0.6× 178 0.8× 150 1.1× 194 1.9× 44 1.6k

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).

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.

Co-authorship network of co-authors of Cataldo Musto

This figure shows the co-authorship network connecting the top 25 collaborators of Cataldo Musto. A scholar is included among the top collaborators of Cataldo Musto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cataldo Musto. Cataldo Musto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026