F. Nabais
- Nuclear and High Energy Physics top 10%
- Astronomy and Astrophysics top 10%
- Materials Chemistry
- Social Psychology
- Artificial Intelligence
- Co-authors
- S. E. SharapovD. BorbaS. D. PinchesV. KiptilyM. F. F. NaveM. MantsinenJ. Ferreiracontributors to the EFDA-JET Workprogramme
- Topics
- Magnetic confinement fusion research (20 papers)Ionosphere and magnetosphere dynamics (17 papers)Laser-Plasma Interactions and Diagnostics (7 papers)
- Partner nations
- United KingdomPortugalSpain
In The Last Decade
F. Nabais
24 papers receiving 195 citations
Peers
Comparison fields: 5 of 37
- Nuclear and High Energy Physics 162
- Astronomy and Astrophysics 121
- Materials Chemistry 40
- Social Psychology 26
- Artificial Intelligence 18
Countries citing papers authored by F. Nabais
This map shows the geographic impact of F. Nabais'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 F. Nabais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Nabais more than expected).
Fields of papers citing papers by F. Nabais
This network shows the impact of papers produced by F. Nabais. 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 F. Nabais. The network helps show where F. Nabais may publish in the future.
Co-authorship network of co-authors of F. Nabais
This figure shows the co-authorship network connecting the top 25 collaborators of F. Nabais. A scholar is included among the top collaborators of F. Nabais based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Nabais. F. Nabais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 42nd European Physical Society Conference on Plasma Physics, EPS 2015 | 2 |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 6 | |
| 13 | EMOTE: Embodied-perceptive tutors for empathy-based learning in a game environment | 5 |
| 14 | Scenario for alpha driven Alfvén modes in deuterium-tritium JET plasmas | 1 |
| 15 | 19 | |
| 16 | Measurement and qualitative interpretation of the ra dial scale of turbulence in JET plasmas | 0 |
| 17 | Redistribution of ICRH fast ions in the presence of fishbones and Alfvén eigenmodes | 0 |
| 18 | 31 | |
| 19 | Internal kink mode stability in the presence of ICRH driven fast ions populations | 3 |
| 20 | 32 |
About F. Nabais
F. Nabais is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Social Psychology, having authored 27 papers that have together received 205 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (20 papers), Ionosphere and magnetosphere dynamics (17 papers) and Laser-Plasma Interactions and Diagnostics (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (162 citations), Astronomy and Astrophysics (121 citations) and Social Psychology (26 citations). F. Nabais has collaborated with scholars based in United Kingdom, Portugal and Spain. Frequent co-authors include S. E. Sharapov, D. Borba, S. D. Pinches, V. Kiptily, M. F. F. Nave, M. Mantsinen, J. Ferreira, contributors to the EFDA-JET Workprogramme, B. N. Breǐzman and R. Coelho. Their work appears in journals such as Physics of Plasmas, Nuclear Fusion and Plasma Physics and Controlled Fusion.
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.