Massimo Rosamilia
- Aerospace Engineering top 5%
- Radar Systems and Signal Processing 18
- Advanced SAR Imaging Techniques 12
- Antenna Design and Optimization 3
- Signal Processing top 10%
- Direction-of-Arrival Estimation Techniques 15
-
- Indoor and Outdoor Localization Technologies 2
-
- Chaos control and synchronization 2
-
- Remote Sensing and LiDAR Applications 2
-
- Target Tracking and Data Fusion in Sensor Networks 2
- Co-authors
- Antonio De MaioAugusto AubryLan LanGuisheng LiaoStefano MaranòJingwei XuVincenzo CarotenutoAlessio Balleri
- Journals
- IEEE Transactions on Information Theory (1 paper)IEEE Transactions on Signal Processing (4 papers)IEEE Transactions on Aerospace and Electronic Systems (5 papers)
- Partner nations
- ItalyChinaUnited Kingdom
In The Last Decade
Massimo Rosamilia
20 papers receiving 291 citations
Hit Papers
Peers
Comparison fields: 5 of 30
- Aerospace Engineering 243
- Signal Processing 97
- Computational Mathematics 1
- Statistics and Probability 11
- Biomedical Engineering 47
Countries citing papers authored by Massimo Rosamilia
This map shows the geographic impact of Massimo Rosamilia'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 Massimo Rosamilia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Rosamilia more than expected).
Fields of papers citing papers by Massimo Rosamilia
This network shows the impact of papers produced by Massimo Rosamilia. 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 Massimo Rosamilia. The network helps show where Massimo Rosamilia may publish in the future.
Co-authorship network
The 10 scholars most cited alongside Massimo Rosamilia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | FDA-MIMO Transmitter and Receiver Optimizationbreakdown → | 2024 | 44 |
| 7 | 2024 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 4 | |
| 12 | 2022 | 3 | |
| 13 | 2022 | 34 | |
| 14 | 2022 | 14 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 26 | |
| 17 | 2021 | 66 | |
| 18 | 2021 | 17 | |
| 19 | 2020 | 1 | |
| 20 | 2020 | 30 |
About Massimo Rosamilia
Massimo Rosamilia is a scholar working on Signal Processing, Aerospace Engineering and Statistical and Nonlinear Physics, having authored 23 papers that have together received 295 indexed citations. Recurring topics across this work include Radar Systems and Signal Processing (18 papers), Direction-of-Arrival Estimation Techniques (15 papers), Advanced SAR Imaging Techniques (12 papers), Antenna Design and Optimization (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Chaos control and synchronization (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Target Tracking and Data Fusion in Sensor Networks (2 papers). The work is most often cited by research in Aerospace Engineering (243 citations), Signal Processing (97 citations) and Computational Mathematics (1 citation). Massimo Rosamilia has collaborated with scholars based in Italy, China and United Kingdom. Frequent co-authors include Antonio De Maio, Augusto Aubry, Lan Lan, Guisheng Liao, Stefano Maranò, Jingwei Xu, Vincenzo Carotenuto, Alessio Balleri, Prabhu Babu and Marco Martorella. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Aerospace and Electronic Systems.
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.