Roberto Sannino
- Computer Networks and Communications top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- Jacopo TosiDomenico FormicaFabrizio TaffoniMatteo PetraccaMonica GentiliAlberto BernardiniAugusto SartiAntonio Chimienti
- Topics
- Speech and Audio Processing (3 papers)Bluetooth and Wireless Communication Technologies (3 papers)Advanced Adaptive Filtering Techniques (3 papers)
- Cited by
- Signal ProcessingComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Roberto Sannino
15 papers receiving 289 citations
Peers
Comparison fields: 5 of 64
- Computer Networks and Communications 123
- Biomedical Engineering 92
- Electrical and Electronic Engineering 81
- Computer Vision and Pattern Recognition 77
- Signal Processing 67
Countries citing papers authored by Roberto Sannino
This map shows the geographic impact of Roberto Sannino'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 Roberto Sannino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Sannino more than expected).
Fields of papers citing papers by Roberto Sannino
This network shows the impact of papers produced by Roberto Sannino. 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 Roberto Sannino. The network helps show where Roberto Sannino may publish in the future.
Co-authorship network of co-authors of Roberto Sannino
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Sannino. A scholar is included among the top collaborators of Roberto Sannino 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 Roberto Sannino. Roberto Sannino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 148 | |
| 3 | 37 | |
| 4 | 31 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 0 | |
| 16 | 12 |
About Roberto Sannino
Roberto Sannino is a scholar working on Signal Processing, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 299 indexed citations. Recurring topics across this work include Speech and Audio Processing (3 papers), Bluetooth and Wireless Communication Technologies (3 papers) and Advanced Adaptive Filtering Techniques (3 papers). The work is most often cited by research in Signal Processing (67 citations), Computer Networks and Communications (123 citations) and Computer Vision and Pattern Recognition (77 citations). Roberto Sannino has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Jacopo Tosi, Domenico Formica, Fabrizio Taffoni, Matteo Petracca, Monica Gentili, Alberto Bernardini, Augusto Sarti, Antonio Chimienti, Danilo Pau and Maurizio Lucenteforte. Their work appears in journals such as Sensors, IEEE Sensors Journal and IEEE Signal Processing Letters.
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.