Fabrizio Angiulli
About
In The Last Decade
Fabrizio Angiulli
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 1.2k
- Computer Networks and Communications 450
- Signal Processing 308
- Computer Vision and Pattern Recognition 226
- Information Systems 144
Countries citing papers authored by Fabrizio Angiulli
This map shows the geographic impact of Fabrizio Angiulli'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 Fabrizio Angiulli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrizio Angiulli more than expected).
Fields of papers citing papers by Fabrizio Angiulli
This network shows the impact of papers produced by Fabrizio Angiulli. 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 Fabrizio Angiulli. The network helps show where Fabrizio Angiulli may publish in the future.
Co-authorship network of co-authors of Fabrizio Angiulli
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrizio Angiulli. A scholar is included among the top collaborators of Fabrizio Angiulli 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 Fabrizio Angiulli. Fabrizio Angiulli 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 | 6 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 18 | |
| 6 | 3 | |
| 7 | 32 | |
| 8 | 47 | |
| 9 | 12 | |
| 10 | 31 | |
| 11 | Clustering by exceptions | 2 |
| 12 | 3 | |
| 13 | 1 | |
| 14 | Outlier detection using disjunctive logic programming | 1 |
| 15 | 11 | |
| 16 | 1 | |
| 17 | Outlier Detection Using Default Logic | 9 |
| 18 | Outlier Detection Using Default Logic. | 4 |
| 19 | 0 | |
| 20 | On the Complexity of Mining Association Rules. | 8 |
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.