Luca Cagliero
- Artificial Intelligence top 2%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Signal Processing top 5%
- Co-authors
- Paolo GarzaElena BaralisAlessandro FioriTania CerquitelliLaura FarinettiNaeem Ahmed MahotoSilvia ChiusanoSaima Jabeen
- Topics
- Topic Modeling (32 papers)Data Mining Algorithms and Applications (30 papers)Natural Language Processing Techniques (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Luca Cagliero
119 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Artificial Intelligence 581
- Information Systems 370
- Management Science and Operations Research 140
- Computational Theory and Mathematics 131
- Signal Processing 116
Countries citing papers authored by Luca Cagliero
This map shows the geographic impact of Luca Cagliero'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 Luca Cagliero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Cagliero more than expected).
Fields of papers citing papers by Luca Cagliero
This network shows the impact of papers produced by Luca Cagliero. 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 Luca Cagliero. The network helps show where Luca Cagliero may publish in the future.
Co-authorship network of co-authors of Luca Cagliero
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Cagliero. A scholar is included among the top collaborators of Luca Cagliero 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 Luca Cagliero. Luca Cagliero 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 32 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 22 | |
| 18 | 3 | |
| 19 | Heterogeneous Industrial Vehicle Usage Predictions: A Real Case. | 6 |
| 20 | Identifying collaborations among researchers: a pattern-based approach | 3 |
About Luca Cagliero
Luca Cagliero is a scholar working on Computer Science Applications, Health Informatics and Artificial Intelligence, having authored 127 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (32 papers), Data Mining Algorithms and Applications (30 papers) and Natural Language Processing Techniques (24 papers). The work is most often cited by research in Artificial Intelligence (581 citations), Information Systems (370 citations) and Computer Science Applications (73 citations). Luca Cagliero has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Paolo Garza, Elena Baralis, Alessandro Fiori, Tania Cerquitelli, Laura Farinetti, Naeem Ahmed Mahoto, Silvia Chiusano, Saima Jabeen, Luca Vassio and Sajid Shah. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications 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.