C. Garrel
Impact in
- Instrumentation top 10%
- Astronomy and Astrophysical Research
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Radio Astronomy Observations and Technology
- Stellar, planetary, and galactic studies
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 14
- Astrophysical Phenomena and Observations 6
- Gamma-ray bursts and supernovae 3
- Radio Astronomy Observations and Technology 2
- Cosmology and Gravitation Theories 2
-
- Astrophysics and Cosmic Phenomena 7
- Dark Matter and Cosmic Phenomena 2
- Co-authors
- Esra Bülbül (9 shared papers)M. E. Ramos-Ceja (9 shared papers)Xiaoyuan Zhang (7 shared papers)J. S. Sanders (7 shared papers)Ang Liu (7 shared papers)T. H. Reiprich (4 shared papers)M. Pierre (7 shared papers)V. Ghirardini (7 shared papers)
In The Last Decade
C. Garrel
17 papers receiving 113 citations
Peers
Comparison fields: 5 of 20
- Instrumentation 45
- Astronomy and Astrophysics 135
- Nuclear and High Energy Physics 49
- Computational Mechanics 18
- Statistical and Nonlinear Physics 6
Countries citing papers authored by C. Garrel
This map shows the geographic impact of C. Garrel'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 C. Garrel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Garrel more than expected).
Fields of papers citing papers by C. Garrel
This network shows the impact of papers produced by C. Garrel. 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 C. Garrel. The network helps show where C. Garrel may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Garrel, 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 | 2022 | 28 | |
| 2 | 2022 | 19 | |
| 3 | 2024 | 13 | |
| 4 | 2022 | 13 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2018 | 5 | |
| 12 | 2023 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 1 |
About C. Garrel
C. Garrel is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Instrumentation, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 147 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (14 papers), Astrophysics and Cosmic Phenomena (7 papers), Astrophysical Phenomena and Observations (6 papers), Astronomy and Astrophysical Research (5 papers), Gamma-ray bursts and supernovae (3 papers), Dark Matter and Cosmic Phenomena (2 papers), Radio Astronomy Observations and Technology (2 papers) and Cosmology and Gravitation Theories (2 papers). The work is most often cited by research in Instrumentation (45 citations), Astronomy and Astrophysics (135 citations), Nuclear and High Energy Physics (49 citations), Computational Mechanics (18 citations) and Statistical and Nonlinear Physics (6 citations). C. Garrel has collaborated with scholars based in Germany, France and Greece. Frequent co-authors include Esra Bülbül, M. E. Ramos-Ceja, Xiaoyuan Zhang, J. S. Sanders, Ang Liu, T. H. Reiprich, M. Pierre, V. Ghirardini, E. Koulouridis and S. Paltani. Their work appears in journals such as Astronomy and Astrophysics 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.