Stefano Zanobini
- Artificial Intelligence
- Information Systems top 10%
- Computer Networks and Communications
- Molecular Biology
- Management Science and Operations Research
- Co-authors
- Paolo BouquetLuciano SerafiniBernardo MagniniN. MiclausM. CastaldiniMarco BazzicalupoElisa GiuntiniGiancarlo Ranalli
- Topics
- Semantic Web and Ontologies (8 papers)Service-Oriented Architecture and Web Services (6 papers)Advanced Database Systems and Queries (6 papers)
- Journals
- Journal of Web SemanticsAnnals of MicrobiologyInstitutional Research Information System (Università degli Studi di Trento)
- Partner nations
- Italy
In The Last Decade
Stefano Zanobini
9 papers receiving 81 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 71
- Information Systems 46
- Computer Networks and Communications 19
- Molecular Biology 19
- Management Science and Operations Research 11
Countries citing papers authored by Stefano Zanobini
This map shows the geographic impact of Stefano Zanobini'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 Stefano Zanobini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefano Zanobini more than expected).
Fields of papers citing papers by Stefano Zanobini
This network shows the impact of papers produced by Stefano Zanobini. 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 Stefano Zanobini. The network helps show where Stefano Zanobini may publish in the future.
Co-authorship network of co-authors of Stefano Zanobini
This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Zanobini. A scholar is included among the top collaborators of Stefano Zanobini 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 Stefano Zanobini. Stefano Zanobini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 19 | |
| 3 | Asking and answering queries semantically | 6 |
| 4 | 1 | |
| 5 | 23 | |
| 6 | Semantic Coordination of Hierarchical Classifications with Attributes | 3 |
| 7 | An algorithm for matching contextualized schemas via SAT | 13 |
| 8 | Improving CtxMatch by means of grammatical and ontological knowledge { in order to handle attributes | 1 |
| 9 | ConTeXtualized local ontology specification via CTXML | 12 |
About Stefano Zanobini
Stefano Zanobini is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 9 papers that have together received 94 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (8 papers), Service-Oriented Architecture and Web Services (6 papers) and Advanced Database Systems and Queries (6 papers). The work is most often cited by research in Artificial Intelligence (71 citations), Information Systems (46 citations) and Tourism, Leisure and Hospitality Management (2 citations). Stefano Zanobini has collaborated with scholars based in Italy. Frequent co-authors include Paolo Bouquet, Luciano Serafini, Bernardo Magnini, N. Miclaus, M. Castaldini, Marco Bazzicalupo, Elisa Giuntini, Giancarlo Ranalli, Alessio Mengoni and Gabriel M. Kuper. Their work appears in journals such as Journal of Web Semantics, Annals of Microbiology and Institutional Research Information System (Università degli Studi di Trento).
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.