Alberto Compagno
- Computer Networks and Communications top 10%
- Signal Processing
- Information Systems
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Mauro ContiGene TsudikLuca MuscarielloGiovanna CarofiglioEleonora LosioukRalph DromsJordan AugéMoreno Ambrosin
- Topics
- Caching and Content Delivery (10 papers)Opportunistic and Delay-Tolerant Networks (4 papers)Advanced Data Storage Technologies (3 papers)
- Journals
- IEEE Communications Surveys & TutorialsSensorsIEEE Transactions on Information Forensics and Security
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Alberto Compagno
15 papers receiving 181 citations
Peers
Comparison fields: 5 of 27
- Computer Networks and Communications 137
- Signal Processing 34
- Information Systems 31
- Artificial Intelligence 31
- Computer Vision and Pattern Recognition 27
Countries citing papers authored by Alberto Compagno
This map shows the geographic impact of Alberto Compagno'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 Alberto Compagno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Compagno more than expected).
Fields of papers citing papers by Alberto Compagno
This network shows the impact of papers produced by Alberto Compagno. 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 Alberto Compagno. The network helps show where Alberto Compagno may publish in the future.
Co-authorship network of co-authors of Alberto Compagno
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto Compagno. A scholar is included among the top collaborators of Alberto Compagno 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 Alberto Compagno. Alberto Compagno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 24 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 24 | |
| 11 | 35 | |
| 12 | 12 | |
| 13 | 17 | |
| 14 | 11 | |
| 15 | 7 |
About Alberto Compagno
Alberto Compagno is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 15 papers that have together received 191 indexed citations. Recurring topics across this work include Caching and Content Delivery (10 papers), Opportunistic and Delay-Tolerant Networks (4 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (137 citations), Signal Processing (34 citations) and Information Systems (31 citations). Alberto Compagno has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Mauro Conti, Gene Tsudik, Luca Muscariello, Giovanna Carofiglio, Eleonora Losiouk, Ralph Droms, Jordan Augé, Moreno Ambrosin, Michele Papalini and Cesar Ghali. Their work appears in journals such as IEEE Communications Surveys & Tutorials, Sensors and IEEE Transactions on Information Forensics and Security.
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.