Cataldo Musto
- Artificial Intelligence top 1%
- Information Systems top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Management Science and Operations Research top 5%
- Co-authors
- Giovanni SemeraroPasquale LopsMarco de GemmisFedelucio NarducciMarco PolignanoPierpaolo BasileDietmar JannachToine Bogers
- Topics
- Recommender Systems and Techniques (76 papers)Topic Modeling (37 papers)Advanced Graph Neural Networks (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessInformation Sciences
- Partner nations
- ItalyNetherlandsDenmark
In The Last Decade
Cataldo Musto
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 919
- Information Systems 916
- Computer Vision and Pattern Recognition 235
- Sociology and Political Science 140
- Management Science and Operations Research 104
Countries citing papers authored by Cataldo Musto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 9 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 1 | |
| 15 | 32 | |
| 16 | 40 | |
| 17 | 12 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | Linked Open Data-enabled Strategies for Top-N Recommendations. | 12 |
About Cataldo Musto
Cataldo Musto is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 100 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (76 papers), Topic Modeling (37 papers) and Advanced Graph Neural Networks (24 papers). The work is most often cited by research in Information Systems (916 citations), Artificial Intelligence (919 citations) and Computer Vision and Pattern Recognition (235 citations). Cataldo Musto has collaborated with scholars based in Italy, Netherlands and Denmark. Frequent co-authors include Giovanni Semeraro, Pasquale Lops, Marco de Gemmis, Fedelucio Narducci, Marco Polignano, Pierpaolo Basile, Dietmar Jannach, Toine Bogers, Marijn Koolen and Christoph Trattner. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Information Sciences.
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.