M. Ugoletti
Impact in
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- Magnetic confinement fusion research
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- Particle accelerators and beam dynamics
Papers in ⓘ
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- Magnetic confinement fusion research 18
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- Particle accelerators and beam dynamics 16
- Co-authors
- M. Agostini (12 shared papers)G. Serianni (13 shared papers)M. Barbisan (9 shared papers)R. Pasqualotto (4 shared papers)B. Zaniol (5 shared papers)A. Pimazzoni (10 shared papers)S. Coda (1 shared paper)M. Brombin (5 shared papers)
- Journals
- Review of Scientific Instruments (5 papers)IEEE Transactions on Plasma Science (3 papers)Fusion Engineering and Design (2 papers)Nuclear Fusion (2 papers)Journal of Instrumentation (2 papers)
- Partner nations
- ItalySwitzerlandFrance
In The Last Decade
M. Ugoletti
17 papers receiving 123 citations
Peers
Comparison fields: 5 of 45
- Nuclear and High Energy Physics 63
- Aerospace Engineering 73
- Cognitive Neuroscience 23
- Electrical and Electronic Engineering 62
- Cellular and Molecular Neuroscience 15
Countries citing papers authored by M. Ugoletti
This map shows the geographic impact of M. Ugoletti'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 M. Ugoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ugoletti more than expected).
Fields of papers citing papers by M. Ugoletti
This network shows the impact of papers produced by M. Ugoletti. 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 M. Ugoletti. The network helps show where M. Ugoletti may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Ugoletti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 42 | |
| 2 | 2020 | 17 | |
| 3 | 2020 | 11 | |
| 4 | 2021 | 10 | |
| 5 | 2021 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2019 | 0 |
About M. Ugoletti
M. Ugoletti is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Electrical and Electronic Engineering, Radiation and Atomic and Molecular Physics, and Optics, having authored 21 papers that have together received 126 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (18 papers), Particle accelerators and beam dynamics (16 papers), Plasma Diagnostics and Applications (14 papers), Particle Accelerators and Free-Electron Lasers (3 papers), Advanced X-ray Imaging Techniques (1 paper), Medical Imaging Techniques and Applications (1 paper), Gyrotron and Vacuum Electronics Research (1 paper) and Atomic and Molecular Physics (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (63 citations), Aerospace Engineering (73 citations), Cognitive Neuroscience (23 citations), Electrical and Electronic Engineering (62 citations) and Cellular and Molecular Neuroscience (15 citations). M. Ugoletti has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include M. Agostini, G. Serianni, M. Barbisan, R. Pasqualotto, B. Zaniol, A. Pimazzoni, S. Coda, M. Brombin, P. Manas and P. Hennequin. Their work appears in journals such as Review of Scientific Instruments, IEEE Transactions on Plasma Science, Fusion Engineering and Design, Nuclear Fusion and Journal of Instrumentation.
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.