F. I. Parra
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- Magnetic confinement fusion research 97
- Laser-Plasma Interactions and Diagnostics 31
- Astronomy and Astrophysics top 2%
- Ionosphere and magnetosphere dynamics 78
- Solar and Space Plasma Dynamics 22
- Aerospace Engineering top 5%
- Particle accelerators and beam dynamics 19
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- Fusion materials and technologies 11
- Biomedical Engineering top 10%
- Superconducting Materials and Applications 13
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- Plasma Diagnostics and Applications 8
- Co-authors
- M. BarnesPeter J. CattoEduardo AhedoI. CalvoA. A. SchekochihinJ. L. VelascoManuel Martı́nez-SánchezJohn Fife
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
F. I. Parra
104 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 40
- Nuclear and High Energy Physics 1.5k
- Astronomy and Astrophysics 1.1k
- Aerospace Engineering 305
- Materials Chemistry 348
- Biomedical Engineering 272
Countries citing papers authored by F. I. Parra
This map shows the geographic impact of F. I. Parra'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. I. Parra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. I. Parra more than expected).
Fields of papers citing papers by F. I. Parra
This network shows the impact of papers produced by F. I. Parra. 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. I. Parra. The network helps show where F. I. Parra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. I. Parra, 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 | 2025 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 13 | |
| 14 | 2019 | 10 | |
| 15 | Optimized up-down asymmetry to drive fast intrinsic rotation in tokamaks | 2017 | 4 |
| 16 | Coupled core/SOL modelling of fuelling requirements during the current ramp-up of ITER L-mode plasmas | 2015 | 1 |
| 17 | Flow damping in stellarators close to quasisymmetry | 2014 | 8 |
| 18 | Optimizing stellarators for large flows | 2014 | 13 |
| 19 | Nonlinear gyrokinetic simulations of intrinsic rotation in up-down asymmetric tokamaks | 2012 | 5 |
| 20 | Improvement of the Plasma-Wall Model on a Fluid-PIC Code of a Hall Thruster | 2004 | 3 |
About F. I. Parra
F. I. Parra is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Aerospace Engineering, having authored 108 papers that have together received 1.8k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (97 papers), Ionosphere and magnetosphere dynamics (78 papers), Laser-Plasma Interactions and Diagnostics (31 papers), Solar and Space Plasma Dynamics (22 papers), Particle accelerators and beam dynamics (19 papers), Superconducting Materials and Applications (13 papers), Fusion materials and technologies (11 papers) and Plasma Diagnostics and Applications (8 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.5k citations), Astronomy and Astrophysics (1.1k citations) and Aerospace Engineering (305 citations). F. I. Parra has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include M. Barnes, Peter J. Catto, Eduardo Ahedo, I. Calvo, A. A. Schekochihin, J. L. Velasco, Manuel Martı́nez-Sánchez, John Fife, C.M. Roach and A. Alonso.
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.