Enrico Daga
- Artificial Intelligence top 10%
- Information Systems top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Co-authors
- Aldo GangemiEnrico MottaMathieu d’AquinValentina PresuttiEva BlomqvistPaul MulhollandAlessandro AdamouIlaria Tiddi
- Topics
- Semantic Web and Ontologies (23 papers)Service-Oriented Architecture and Web Services (8 papers)Data Quality and Management (8 papers)
- Partner nations
- United KingdomNetherlandsItaly
In The Last Decade
Enrico Daga
38 papers receiving 251 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 151
- Information Systems 102
- Management Science and Operations Research 47
- Computer Networks and Communications 44
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Enrico Daga
This map shows the geographic impact of Enrico Daga'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 Enrico Daga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Daga more than expected).
Fields of papers citing papers by Enrico Daga
This network shows the impact of papers produced by Enrico Daga. 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 Enrico Daga. The network helps show where Enrico Daga may publish in the future.
Co-authorship network of co-authors of Enrico Daga
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Daga. A scholar is included among the top collaborators of Enrico Daga 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 Enrico Daga. Enrico Daga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | Modelling and querying lists in RDF: A pragmatic study | 4 |
| 13 | 2 | |
| 14 | Characterizing the Landscape of Musical Data on the Web: State of the Art and Challenges | 4 |
| 15 | Proceedings of the 1st Workshop on Humanities in the Semantic Web co-located with 13th ESWC Conference 2016 (ESWC 2016) | 1 |
| 16 | Bottom-Up Ontology Construction with Contento | 2 |
| 17 | BASIL: A Cloud Platform for Sharing and Reusing SPARQL Queries as Web APIs | 1 |
| 18 | Linked Open Data for the Italian PA: The CNR Experience | 3 |
| 19 | 1 | |
| 20 | 3 |
About Enrico Daga
Enrico Daga is a scholar working on Music, Artificial Intelligence and Museology, having authored 44 papers that have together received 274 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Service-Oriented Architecture and Web Services (8 papers) and Data Quality and Management (8 papers). The work is most often cited by research in Artificial Intelligence (151 citations), Information Systems (102 citations) and Conservation (14 citations). Enrico Daga has collaborated with scholars based in United Kingdom, Netherlands and Italy. Frequent co-authors include Aldo Gangemi, Enrico Motta, Mathieu d’Aquin, Valentina Presutti, Eva Blomqvist, Paul Mulholland, Alessandro Adamou, Ilaria Tiddi, Emanuele Bastianelli and Andreas L. Opdahl. Their work appears in journals such as IEEE Access, International Journal of Social Robotics and Journal of Web Semantics.
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.