G. Ambrosino
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- Magnetic confinement fusion research 75
- Aerospace Engineering top 2%
- Particle accelerators and beam dynamics 18
- Nuclear reactor physics and engineering 8
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- Adaptive Control of Nonlinear Systems 11
- Advanced Control Systems Optimization 9
- Iterative Learning Control Systems 6
- Biomedical Engineering top 5%
- Superconducting Materials and Applications 52
- Astronomy and Astrophysics top 10%
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- Fusion materials and technologies 26
- Co-authors
- M. AriolaA. PirontiR. AlbaneseF. GarofaloG. De TommasiG. CelentanoF. SartoriRaffaele Landolfo
- Journals
- Fusion Engineering and Design (28 papers)IEEE Transactions on Plasma Science (6 papers)IEEE Transactions on Control Systems Technology (5 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
G. Ambrosino
103 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 59
- Nuclear and High Energy Physics 901
- Aerospace Engineering 493
- Control and Systems Engineering 418
- Biomedical Engineering 498
- Astronomy and Astrophysics 158
Countries citing papers authored by G. Ambrosino
This map shows the geographic impact of G. 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 G. Ambrosino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ambrosino more than expected).
Fields of papers citing papers by G. Ambrosino
This network shows the impact of papers produced by G. 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 G. Ambrosino. The network helps show where G. Ambrosino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. 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 | 2022 | 1 | |
| 2 | 2019 | 10 | |
| 3 | 2019 | 11 | |
| 4 | 2019 | 3 | |
| 5 | 2015 | 24 | |
| 6 | 2014 | 1 | |
| 7 | 2013 | 13 | |
| 8 | 2009 | 11 | |
| 9 | 2009 | 6 | |
| 10 | 2008 | 23 | |
| 11 | Development of 20s long hybrid scenarios on JET | 2007 | 3 |
| 12 | Control Optimization for the Position and Shape of the Ignitor Plasma Column | 2006 | 2 |
| 13 | 2005 | 36 | |
| 14 | 2005 | 12 | |
| 15 | 2001 | 3 | |
| 16 | 1999 | 42 | |
| 17 | 1998 | 3 | |
| 18 | 1992 | 3 | |
| 19 | 1991 | 0 | |
| 20 | 1984 | 1 |
About G. Ambrosino
G. Ambrosino is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Biomedical Engineering, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (75 papers), Superconducting Materials and Applications (52 papers), Fusion materials and technologies (26 papers), Particle accelerators and beam dynamics (18 papers), Adaptive Control of Nonlinear Systems (11 papers), Advanced Control Systems Optimization (9 papers), Nuclear reactor physics and engineering (8 papers) and Iterative Learning Control Systems (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (901 citations), Aerospace Engineering (493 citations) and Control and Systems Engineering (418 citations). G. Ambrosino has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include M. Ariola, A. Pironti, R. Albanese, F. Garofalo, G. De Tommasi, G. Celentano, F. Sartori, Raffaele Landolfo, Francesco Portioli and Mario D’Aniello. Their work appears in journals such as Fusion Engineering and Design, IEEE Transactions on Plasma Science, IEEE Transactions on Control Systems Technology, IEEE Transactions on Magnetics and Physics of Plasmas.
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.