A. Pau
Impact in
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- Magnetic confinement fusion research
- Astronomy and Astrophysics top 10%
- Ionosphere and magnetosphere dynamics
Papers in
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- Magnetic confinement fusion research 33
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- Nuclear reactor physics and engineering 11
- Nuclear Engineering Thermal-Hydraulics 7
- Co-authors
- Alessandra Fanni (13 shared papers)B. Cannas (14 shared papers)G. Sias (14 shared papers)A. Murari (14 shared papers)O. Sauter (15 shared papers)Sara Carcangiu (4 shared papers)F. Rimini (4 shared papers)the TCV Team (2 shared papers)
- Journals
- Nuclear Fusion (10 papers)Plasma Physics and Controlled Fusion (10 papers)Fusion Engineering and Design (7 papers)Nature Communications (1 paper)IEEE Transactions on Nuclear Science (1 paper)
- Partner nations
- SwitzerlandItalyUnited Kingdom
In The Last Decade
A. Pau
37 papers receiving 474 citations
Peers
Comparison fields: 5 of 42
- Nuclear and High Energy Physics 362
- Astronomy and Astrophysics 94
- Aerospace Engineering 139
- Signal Processing 49
- Artificial Intelligence 109
Countries citing papers authored by A. Pau
This map shows the geographic impact of A. Pau'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 A. Pau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pau more than expected).
Fields of papers citing papers by A. Pau
This network shows the impact of papers produced by A. Pau. 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 A. Pau. The network helps show where A. Pau may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Pau, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 53 | |
| 2 | 2019 | 50 | |
| 3 | 2022 | 43 | |
| 4 | 2018 | 33 | |
| 5 | 2020 | 28 | |
| 6 | 2015 | 27 | |
| 7 | 2013 | 27 | |
| 8 | 2015 | 25 | |
| 9 | 2020 | 22 | |
| 10 | 2023 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2018 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2013 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2024 | 7 |
About A. Pau
A. Pau is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering, Materials Chemistry, Astronomy and Astrophysics and Artificial Intelligence, having authored 40 papers that have together received 485 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (33 papers), Nuclear reactor physics and engineering (11 papers), Fusion materials and technologies (9 papers), Ionosphere and magnetosphere dynamics (7 papers), Nuclear Engineering Thermal-Hydraulics (7 papers), Time Series Analysis and Forecasting (5 papers), Superconducting Materials and Applications (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (362 citations), Astronomy and Astrophysics (94 citations), Aerospace Engineering (139 citations), Signal Processing (49 citations) and Artificial Intelligence (109 citations). A. Pau has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Alessandra Fanni, B. Cannas, G. Sias, A. Murari, O. Sauter, Sara Carcangiu, F. Rimini, the TCV Team, P.C. de Vries and Cristina Rea. Their work appears in journals such as Nuclear Fusion, Plasma Physics and Controlled Fusion, Fusion Engineering and Design, Nature Communications and IEEE Transactions on Nuclear Science.
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.