Vito Claudio Ostuni
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Signal Processing top 10%
- Co-authors
- Tommaso Di NoiaEugenio Di SciascioRoberto MirizziMarkus ZankerPaolo TomeoXavier SerraSergio OramasJessica Rosati
- Topics
- Recommender Systems and Techniques (8 papers)Semantic Web and Ontologies (7 papers)Topic Modeling (5 papers)
- Journals
- Expert Systems with ApplicationsNephrology Dialysis TransplantationACM Transactions on Intelligent Systems and Technology
- Partner nations
- ItalySpainUnited States
In The Last Decade
Vito Claudio Ostuni
14 papers receiving 584 citations
Peers
Comparison fields: 5 of 70
- Information Systems 416
- Artificial Intelligence 384
- Computer Vision and Pattern Recognition 114
- Management Science and Operations Research 72
- Signal Processing 61
Countries citing papers authored by Vito Claudio Ostuni
This map shows the geographic impact of Vito Claudio Ostuni'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 Vito Claudio Ostuni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vito Claudio Ostuni more than expected).
Fields of papers citing papers by Vito Claudio Ostuni
This network shows the impact of papers produced by Vito Claudio Ostuni. 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 Vito Claudio Ostuni. The network helps show where Vito Claudio Ostuni may publish in the future.
Co-authorship network of co-authors of Vito Claudio Ostuni
This figure shows the co-authorship network connecting the top 25 collaborators of Vito Claudio Ostuni. A scholar is included among the top collaborators of Vito Claudio Ostuni 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 Vito Claudio Ostuni. Vito Claudio Ostuni 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 | 2 | |
| 3 | 97 | |
| 4 | 1 | |
| 5 | 52 | |
| 6 | 7 | |
| 7 | 39 | |
| 8 | 8 | |
| 9 | 53 | |
| 10 | 84 | |
| 11 | 53 | |
| 12 | Cinemappy: a context-aware mobile app for movie recommendations boosted by DBpedia | 16 |
| 13 | 45 | |
| 14 | 164 |
About Vito Claudio Ostuni
Vito Claudio Ostuni is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 14 papers that have together received 622 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (8 papers), Semantic Web and Ontologies (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Information Systems (416 citations), Artificial Intelligence (384 citations) and Health Information Management (45 citations). Vito Claudio Ostuni has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Tommaso Di Noia, Eugenio Di Sciascio, Roberto Mirizzi, Markus Zanker, Paolo Tomeo, Xavier Serra, Sergio Oramas, Jessica Rosati, Francesco Paolo Schena and Francesco Pesce. Their work appears in journals such as Expert Systems with Applications, Nephrology Dialysis Transplantation and ACM Transactions on Intelligent Systems and Technology.
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.