Angelo A. Salatino
- Artificial Intelligence top 5%
- Molecular Biology
- Information Systems top 10%
- Information Systems and Management top 10%
- Management Science and Operations Research
- Co-authors
- Francesco OsborneEnrico MottaDiego Reforgiato RecuperoAndrea MannocciAliaksandr BirukouSahar VahdatiMojtaba NayyeriJens Lehmann
- Topics
- Semantic Web and Ontologies (16 papers)Biomedical Text Mining and Ontologies (9 papers)Topic Modeling (8 papers)
- Partner nations
- United KingdomItalyGermany
In The Last Decade
Angelo A. Salatino
29 papers receiving 318 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 226
- Molecular Biology 64
- Information Systems 52
- Information Systems and Management 37
- Management Science and Operations Research 31
Countries citing papers authored by Angelo A. Salatino
This map shows the geographic impact of Angelo A. Salatino'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 Angelo A. Salatino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo A. Salatino more than expected).
Fields of papers citing papers by Angelo A. Salatino
This network shows the impact of papers produced by Angelo A. Salatino. 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 Angelo A. Salatino. The network helps show where Angelo A. Salatino may publish in the future.
Co-authorship network of co-authors of Angelo A. Salatino
This figure shows the co-authorship network connecting the top 25 collaborators of Angelo A. Salatino. A scholar is included among the top collaborators of Angelo A. Salatino 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 Angelo A. Salatino. Angelo A. Salatino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | Artificial intelligence for literature reviews: opportunities and challengesbreakdown → | 62 |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 2 | |
| 11 | 10 | |
| 12 | 15 | |
| 13 | 20 | |
| 14 | AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs. | 3 |
| 15 | 32 | |
| 16 | Classifying Research Papers with the Computer Science Ontology | 9 |
| 17 | Supporting Springer Nature Editors by means of Semantic Technologies | 1 |
| 18 | Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products | 1 |
| 19 | 23 | |
| 20 | 12 |
About Angelo A. Salatino
Angelo A. Salatino is a scholar working on Information Systems and Management, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 31 papers that have together received 339 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Biomedical Text Mining and Ontologies (9 papers) and Topic Modeling (8 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (226 citations) and Information Systems and Management (37 citations). Angelo A. Salatino has collaborated with scholars based in United Kingdom, Italy and Germany. Frequent co-authors include Francesco Osborne, Enrico Motta, Diego Reforgiato Recupero, Andrea Mannocci, Aliaksandr Birukou, Sahar Vahdati, Mojtaba Nayyeri, Jens Lehmann, Gianni Fenu and Alessandro Chessa. Their work appears in journals such as IEEE Access, Neurocomputing and Information Processing & Management.
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.