Peter Donnel
Impact in
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- Magnetic confinement fusion research
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- Fusion and Plasma Physics Studies
- Model Reduction and Neural Networks
Papers in
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- Magnetic confinement fusion research 38
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- Fusion and Plasma Physics Studies 2
- Co-authors
- Y. Sarazin (24 shared papers)X. Garbet (24 shared papers)G. Dif‐Pradalier (21 shared papers)Ph. Ghendrih (19 shared papers)V. Grandgirard (20 shared papers)Guillaume Latu (10 shared papers)C. Passeron (4 shared papers)C. Ehrlacher (6 shared papers)
- Journals
- Plasma Physics and Controlled Fusion (11 papers)Nuclear Fusion (5 papers)Physics of Plasmas (3 papers)Computer Physics Communications (2 papers)Monthly Notices of the Royal Astronomical Society (1 paper)
- Partner nations
- FranceSwitzerlandGermany
In The Last Decade
Peter Donnel
39 papers receiving 376 citations
Peers
Comparison fields: 5 of 16
- Nuclear and High Energy Physics 349
- Statistical and Nonlinear Physics 22
- Hardware and Architecture 10
- Numerical Analysis 5
- Modeling and Simulation 4
Countries citing papers authored by Peter Donnel
This map shows the geographic impact of Peter Donnel'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 Peter Donnel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Donnel more than expected).
Fields of papers citing papers by Peter Donnel
This network shows the impact of papers produced by Peter Donnel. 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 Peter Donnel. The network helps show where Peter Donnel may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Donnel, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2022 | 33 | |
| 3 | 2017 | 26 | |
| 4 | 2018 | 23 | |
| 5 | 2024 | 22 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 13 | |
| 8 | 2019 | 13 | |
| 9 | 2017 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 2017 | 9 | |
| 12 | 2025 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2019 | 5 |
About Peter Donnel
Peter Donnel is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics, Hardware and Architecture, Electrical and Electronic Engineering and Astronomy and Astrophysics, having authored 39 papers that have together received 376 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (38 papers), Plasma Diagnostics and Applications (3 papers), Fusion and Plasma Physics Studies (2 papers), Fusion materials and technologies (1 paper), Astrophysics and Star Formation Studies (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Dust and Plasma Wave Phenomena (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (349 citations), Statistical and Nonlinear Physics (22 citations), Hardware and Architecture (10 citations), Numerical Analysis (5 citations) and Modeling and Simulation (4 citations). Peter Donnel has collaborated with scholars based in France, Switzerland and Germany. Frequent co-authors include Y. Sarazin, X. Garbet, G. Dif‐Pradalier, Ph. Ghendrih, V. Grandgirard, Guillaume Latu, C. Passeron, C. Ehrlacher, V. Grandgirard and L. Vermare. Their work appears in journals such as Plasma Physics and Controlled Fusion, Nuclear Fusion, Physics of Plasmas, Computer Physics Communications and Monthly Notices of the Royal Astronomical Society.
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.