Andrea Loreggia
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Safety Research top 10%
- Computational Theory and Mathematics
- Computer Networks and Communications
- Co-authors
- Francesca RossiLoris NanniVijay SaraswatKristen Brent VenableHorst SamulowitzYuri MalitskyNicholas MatteiAlessandra Lumini
- Topics
- Logic, Reasoning, and Knowledge (6 papers)Semantic Web and Ontologies (6 papers)Topic Modeling (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMIEEE Access
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Andrea Loreggia
35 papers receiving 240 citations
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 140
- Computer Vision and Pattern Recognition 48
- Safety Research 31
- Computational Theory and Mathematics 27
- Computer Networks and Communications 23
Countries citing papers authored by Andrea Loreggia
This map shows the geographic impact of Andrea Loreggia'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 Andrea Loreggia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Loreggia more than expected).
Fields of papers citing papers by Andrea Loreggia
This network shows the impact of papers produced by Andrea Loreggia. 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 Andrea Loreggia. The network helps show where Andrea Loreggia may publish in the future.
Co-authorship network of co-authors of Andrea Loreggia
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Loreggia. A scholar is included among the top collaborators of Andrea Loreggia 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 Andrea Loreggia. Andrea Loreggia 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 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 15 | |
| 13 | 8 | |
| 14 | Metric Learning for Value Alignment. | 1 |
| 15 | 5 | |
| 16 | Voting with random neural networks: A democratic ensemble classifier | 2 |
| 17 | Modelling Ethical Theories Compactly. | 1 |
| 18 | A Borda count for collective sentiment analysis | 2 |
| 19 | 6 | |
| 20 | From Sentiment Analysis to Preference Aggregation. | 4 |
About Andrea Loreggia
Andrea Loreggia is a scholar working on Artificial Intelligence, Health Informatics and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 242 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (6 papers), Semantic Web and Ontologies (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Informatics (8 citations), Artificial Intelligence (140 citations) and Safety Research (31 citations). Andrea Loreggia has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Francesca Rossi, Loris Nanni, Vijay Saraswat, Kristen Brent Venable, Horst Samulowitz, Yuri Malitsky, Nicholas Mattei, Alessandra Lumini, Sheryl Brahnam and Umberto Grandi. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Access.
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.