Raphaël Sgier
Impact in
- Astronomy and Astrophysics top 10%
- Galaxies: Formation, Evolution, Phenomena
- Cosmology and Gravitation Theories
- Gamma-ray bursts and supernovae
-
- Astronomy and Astrophysical Research
Papers in
-
- Galaxies: Formation, Evolution, Phenomena 6
- Cosmology and Gravitation Theories 4
- Radio Astronomy Observations and Technology 1
-
- Gaussian Processes and Bayesian Inference 1
- Computational Physics and Python Applications 1
- Co-authors
- Michaël Defferrard (1 shared paper)Nathanaël Perraudin (1 shared paper)T. Kacprzak (1 shared paper)Alexandre Réfrégier (5 shared papers)Janis Fluri (4 shared papers)Tomasz Kacprzak (4 shared papers)D. Zürcher (1 shared paper)A. Amara (2 shared papers)
- Journals
- Astronomy and Computing (3 papers)Journal of Cosmology and Astroparticle Physics (2 papers)Repository for Publications and Research Data (ETH Zurich) (1 paper)
- Partner nations
- SwitzerlandGermanyItaly
In The Last Decade
Raphaël Sgier
6 papers receiving 210 citations
Peers
Comparison fields: 5 of 43
- Astronomy and Astrophysics 125
- Instrumentation 24
- Computer Graphics and Computer-Aided Design 14
- Nuclear and High Energy Physics 48
- Computer Vision and Pattern Recognition 53
Countries citing papers authored by Raphaël Sgier
This map shows the geographic impact of Raphaël Sgier'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 Raphaël Sgier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Sgier more than expected).
Fields of papers citing papers by Raphaël Sgier
This network shows the impact of papers produced by Raphaël Sgier. 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 Raphaël Sgier. The network helps show where Raphaël Sgier may publish in the future.
Co-authors
The 17 scholars most cited alongside Raphaël Sgier, 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 | 2019 | 90 | |
| 2 | 2018 | 60 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 7 |
About Raphaël Sgier
Raphaël Sgier is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Nuclear and High Energy Physics, Instrumentation and Infectious Diseases, having authored 6 papers that have together received 217 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (6 papers), Cosmology and Gravitation Theories (4 papers), Dark Matter and Cosmic Phenomena (1 paper), Astronomy and Astrophysical Research (1 paper), Radio Astronomy Observations and Technology (1 paper), Gaussian Processes and Bayesian Inference (1 paper), Computational Physics and Python Applications (1 paper) and Astrophysics and Cosmic Phenomena (1 paper). The work is most often cited by research in Astronomy and Astrophysics (125 citations), Instrumentation (24 citations), Computer Graphics and Computer-Aided Design (14 citations), Nuclear and High Energy Physics (48 citations) and Computer Vision and Pattern Recognition (53 citations). Raphaël Sgier has collaborated with scholars based in Switzerland, Germany and Italy. Frequent co-authors include Michaël Defferrard, Nathanaël Perraudin, T. Kacprzak, Alexandre Réfrégier, Janis Fluri, Tomasz Kacprzak, D. Zürcher, A. Amara, Thomas Hofmann and Aurélien Lucchi. Their work appears in journals such as Astronomy and Computing, Journal of Cosmology and Astroparticle Physics and Repository for Publications and Research Data (ETH Zurich).
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.