E. Fable
Impact in
- Nuclear and High Energy Physics top 0.5%
- Magnetic confinement fusion research
- Laser-Plasma Interactions and Diagnostics
- Astronomy and Astrophysics top 2%
- Ionosphere and magnetosphere dynamics
Papers in
-
- Magnetic confinement fusion research 192
- Laser-Plasma Interactions and Diagnostics 35
-
- Ionosphere and magnetosphere dynamics 99
E. Fable
189 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 45
- Nuclear and High Energy Physics 3.2k
- Astronomy and Astrophysics 1.5k
- Aerospace Engineering 949
- Materials Chemistry 1.6k
- Biomedical Engineering 829
Countries citing papers authored by E. Fable
This map shows the geographic impact of E. Fable'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 E. Fable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Fable more than expected).
Fields of papers citing papers by E. Fable
This network shows the impact of papers produced by E. Fable. 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 E. Fable. The network helps show where E. Fable may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Fable, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 5 | |
| 11 | 2021 | 14 | |
| 12 | DEMO control challenges | 2020 | 1 |
| 13 | 2019 | 11 | |
| 14 | Integrated modelling of ITER scenarios with D-T Mix control | 2018 | 1 |
| 15 | The next step in systems modelling: The integration of a simple 1D transport and equilibrium solver | 2018 | 4 |
| 16 | Synergies between H-NBI fast-ions and ICRF heating in the non-activated operational phase of ITER | 2018 | 2 |
| 17 | 2016 | 11 | |
| 18 | First results of real-time plasma state reconstruction using a model-based dynamic observer on ASDEX-Upgrade | 2014 | 2 |
| 19 | Transport analysis and modelling of high radiation and high density plasmas at ASDEX Upgrade | 2014 | 1 |
| 20 | Validation of gyrokinetic modelling of impurity transport including rotation in ASDEX Upgrade | 2013 | 44 |
About E. Fable
E. Fable is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Materials Chemistry, Aerospace Engineering and Biomedical Engineering, having authored 207 papers that have together received 3.4k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (192 papers), Ionosphere and magnetosphere dynamics (99 papers), Fusion materials and technologies (95 papers), Superconducting Materials and Applications (51 papers), Laser-Plasma Interactions and Diagnostics (35 papers), Particle accelerators and beam dynamics (31 papers), Nuclear reactor physics and engineering (20 papers) and Plasma Diagnostics and Applications (18 papers). The work is most often cited by research in Nuclear and High Energy Physics (3.2k citations), Astronomy and Astrophysics (1.5k citations), Aerospace Engineering (949 citations), Materials Chemistry (1.6k citations) and Biomedical Engineering (829 citations). E. Fable has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include C. Angioni, R. Dux, R. M. McDermott, O. Sauter, T. Pütterich, G. Tardini, H. Zohm, F. Ryter, M. Siccinio and A. G. Peeters. Their work appears in journals such as Nuclear Fusion, Plasma Physics and Controlled Fusion, Fusion Engineering and Design, Physics of Plasmas and Fusion Science & Technology.
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.