R. Ambrosino
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- Magnetic confinement fusion research 66
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- Stability and Control of Uncertain Systems 31
- Control and Stability of Dynamical Systems 10
- Control Systems and Identification 10
- Aerospace Engineering top 2%
- Particle accelerators and beam dynamics 17
- Nuclear reactor physics and engineering 10
- Materials Chemistry top 10%
- Fusion materials and technologies 47
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- Superconducting Materials and Applications 43
- Co-authors
- Francesco AmatoCarlo CosentinoG. De TommasiM. AriolaR. AlbaneseBruno SinopoliYilin MoM. Mattei
- Cited by
- Nuclear and High Energy PhysicsControl and Systems EngineeringComputer Networks and Communications
- Journals
- Fusion Engineering and Design (41 papers)Nuclear Fusion (9 papers)IET Control Theory and Applications (5 papers)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
R. Ambrosino
112 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 69
- Nuclear and High Energy Physics 811
- Control and Systems Engineering 1.0k
- Computer Networks and Communications 560
- Aerospace Engineering 441
- Materials Chemistry 565
Countries citing papers authored by R. Ambrosino
This map shows the geographic impact of R. Ambrosino'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 R. Ambrosino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Ambrosino more than expected).
Fields of papers citing papers by R. Ambrosino
This network shows the impact of papers produced by R. Ambrosino. 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 R. Ambrosino. The network helps show where R. Ambrosino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside R. Ambrosino, 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 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2021 | 2 | |
| 15 | DEMO control challenges | 2020 | 1 |
| 16 | 2019 | 10 | |
| 17 | 2018 | 4 | |
| 18 | Three-dimensional disruption, vertical stability and breakdown analysis of the Italian DTT device | 2018 | 1 |
| 19 | 2012 | 6 | |
| 20 | Network lifetime maximization via sensor selection | 2009 | 13 |
About R. Ambrosino
R. Ambrosino is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Control and Systems Engineering, Materials Chemistry and Biomedical Engineering, having authored 118 papers that have together received 2.2k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (66 papers), Fusion materials and technologies (47 papers), Superconducting Materials and Applications (43 papers), Stability and Control of Uncertain Systems (31 papers), Particle accelerators and beam dynamics (17 papers), Control and Stability of Dynamical Systems (10 papers), Nuclear reactor physics and engineering (10 papers) and Control Systems and Identification (10 papers). The work is most often cited by research in Nuclear and High Energy Physics (811 citations), Control and Systems Engineering (1.0k citations), Computer Networks and Communications (560 citations), Aerospace Engineering (441 citations) and Materials Chemistry (565 citations). R. Ambrosino has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Francesco Amato, Carlo Cosentino, G. De Tommasi, M. Ariola, R. Albanese, Bruno Sinopoli, Yilin Mo, M. Mattei, A. Castaldo and F. Crisanti. Their work appears in journals such as Fusion Engineering and Design, Nuclear Fusion, IET Control Theory and Applications, Nonlinear Analysis Hybrid Systems and Automatica.
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.