M. Dan
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 15
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- Particle accelerators and beam dynamics 17
- Co-authors
- A. Maistrello (9 shared papers)E. Gaio (6 shared papers)L. Zanotto (12 shared papers)Hans Decamps (6 shared papers)Kamil Sedlák (1 shared paper)A. Ferro (3 shared papers)L. Barucca (2 shared papers)S. Ciattaglia (2 shared papers)
In The Last Decade
M. Dan
17 papers receiving 79 citations
Peers
Comparison fields: 5 of 17
- Nuclear and High Energy Physics 53
- Aerospace Engineering 60
- Biomedical Engineering 50
- Electrical and Electronic Engineering 42
- Condensed Matter Physics 4
Countries citing papers authored by M. Dan
This map shows the geographic impact of M. Dan'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. Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Dan more than expected).
Fields of papers citing papers by M. Dan
This network shows the impact of papers produced by M. Dan. 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. Dan. The network helps show where M. Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Dan, 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 | 2022 | 22 | |
| 2 | 2021 | 12 | |
| 3 | 2019 | 8 | |
| 4 | 2019 | 7 | |
| 5 | 2020 | 6 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 3 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2024 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2017 | 1 | |
| 19 | Analysis of the internal short-circuit conditions of the Acceleration Grid Power Supply of the MITICA experiment | 2016 | 0 |
| 20 | 2021 | 0 |
About M. Dan
M. Dan is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Biomedical Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering, having authored 21 papers that have together received 85 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (17 papers), Magnetic confinement fusion research (15 papers), Superconducting Materials and Applications (10 papers), Plasma Diagnostics and Applications (4 papers), Particle Accelerators and Free-Electron Lasers (4 papers), Fusion materials and technologies (2 papers), Structural Behavior of Reinforced Concrete (1 paper) and HVDC Systems and Fault Protection (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (53 citations), Aerospace Engineering (60 citations), Biomedical Engineering (50 citations), Electrical and Electronic Engineering (42 citations) and Condensed Matter Physics (4 citations). M. Dan has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include A. Maistrello, E. Gaio, L. Zanotto, Hans Decamps, Kamil Sedlák, A. Ferro, L. Barucca, S. Ciattaglia, A. Zamengo and M. Recchia. Their work appears in journals such as Fusion Engineering and Design, IEEE Transactions on Plasma Science, Applied Sciences, Energies and The Journal of Adhesion.
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.