Moreno Ambrosin
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Electrical and Electronic Engineering
- Co-authors
- Mauro ContiTooska DargahiFabio De GaspariRadha PoovendranAlberto CaponiGiuseppe BianchiRiccardo LazzerettiSilvio Ranise
- Topics
- Internet Traffic Analysis and Secure E-voting (8 papers)Cryptography and Data Security (6 papers)Privacy-Preserving Technologies in Data (6 papers)
- Journals
- IEEE Communications Surveys & TutorialsIEEE/ACM Transactions on NetworkingComputer Communications
- Partner nations
- ItalyUnited StatesIran
In The Last Decade
Moreno Ambrosin
22 papers receiving 706 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 489
- Artificial Intelligence 431
- Information Systems 172
- Signal Processing 146
- Electrical and Electronic Engineering 105
Countries citing papers authored by Moreno Ambrosin
This map shows the geographic impact of Moreno Ambrosin'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 Moreno Ambrosin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moreno Ambrosin more than expected).
Fields of papers citing papers by Moreno Ambrosin
This network shows the impact of papers produced by Moreno Ambrosin. 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 Moreno Ambrosin. The network helps show where Moreno Ambrosin may publish in the future.
Co-authorship network of co-authors of Moreno Ambrosin
This figure shows the co-authorship network connecting the top 25 collaborators of Moreno Ambrosin. A scholar is included among the top collaborators of Moreno Ambrosin 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 Moreno Ambrosin. Moreno Ambrosin 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 | 19 | |
| 3 | 12 | |
| 4 | 30 | |
| 5 | 24 | |
| 6 | 133 | |
| 7 | 11 | |
| 8 | 7 | |
| 9 | 29 | |
| 10 | 12 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 87 | |
| 14 | 11 | |
| 15 | 95 | |
| 16 | 49 | |
| 17 | 4 | |
| 18 | 38 | |
| 19 | 9 | |
| 20 | 3 |
About Moreno Ambrosin
Moreno Ambrosin is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 22 papers that have together received 726 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (8 papers), Cryptography and Data Security (6 papers) and Privacy-Preserving Technologies in Data (6 papers). The work is most often cited by research in Computer Networks and Communications (489 citations), Signal Processing (146 citations) and Artificial Intelligence (431 citations). Moreno Ambrosin has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Mauro Conti, Tooska Dargahi, Fabio De Gaspari, Radha Poovendran, Alberto Caponi, Giuseppe Bianchi, Riccardo Lazzeretti, Silvio Ranise, Md Masoom Rabbani and Amir M. Rahmani. Their work appears in journals such as IEEE Communications Surveys & Tutorials, IEEE/ACM Transactions on Networking and Computer Communications.
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.