G. Prévôt
Impact in
- Nuclear and High Energy Physics top 10%
- Nuclear physics research studies
- Particle Detector Development and Performance
- Radiation top 10%
- Nuclear Physics and Applications
Papers in
-
- Particle Detector Development and Performance 7
- Astrophysics and Cosmic Phenomena 4
- Dark Matter and Cosmic Phenomena 3
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- Radiation Detection and Scintillator Technologies 4
- Nuclear Physics and Applications 4
- Co-authors
- Martin In (1 shared paper)P. Galatola (1 shared paper)Mohamed Amine Gharbi (1 shared paper)Christophe Blanc (1 shared paper)Jean‐Baptiste Fournier (1 shared paper)Maurizio Nobili (1 shared paper)Stefano Aime (2 shared papers)Luca Cipelletti (3 shared papers)
In The Last Decade
G. Prévôt
19 papers receiving 239 citations
Peers
Comparison fields: 5 of 57
- Nuclear and High Energy Physics 81
- Radiation 37
- Materials Chemistry 94
- Electronic, Optical and Magnetic Materials 34
- Fluid Flow and Transfer Processes 10
Countries citing papers authored by G. Prévôt
This map shows the geographic impact of G. Prévôt'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 G. Prévôt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Prévôt more than expected).
Fields of papers citing papers by G. Prévôt
This network shows the impact of papers produced by G. Prévôt. 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 G. Prévôt. The network helps show where G. Prévôt may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Prévôt, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 49 | |
| 2 | 1999 | 38 | |
| 3 | 2009 | 24 | |
| 4 | 2009 | 19 | |
| 5 | 2016 | 17 | |
| 6 | 2016 | 17 | |
| 7 | 1999 | 14 | |
| 8 | 2018 | 13 | |
| 9 | 1998 | 10 | |
| 10 | 2000 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2000 | 6 | |
| 13 | 2019 | 6 | |
| 14 | 1999 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2023 | 3 | |
| 17 | 2013 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About G. Prévôt
G. Prévôt is a scholar working on Nuclear and High Energy Physics, Radiation, Materials Chemistry, Astronomy and Astrophysics and Biomedical Engineering, having authored 23 papers that have together received 247 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (7 papers), Radiation Detection and Scintillator Technologies (4 papers), Astrophysics and Cosmic Phenomena (4 papers), Nuclear Physics and Applications (4 papers), Dark Matter and Cosmic Phenomena (3 papers), Nuclear reactor physics and engineering (3 papers), Mechanical and Optical Resonators (2 papers) and Scientific Research and Discoveries (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (81 citations), Radiation (37 citations), Materials Chemistry (94 citations), Electronic, Optical and Magnetic Materials (34 citations) and Fluid Flow and Transfer Processes (10 citations). G. Prévôt has collaborated with scholars based in France, Japan and Russia. Frequent co-authors include Martin In, P. Galatola, Mohamed Amine Gharbi, Christophe Blanc, Jean‐Baptiste Fournier, Maurizio Nobili, Stefano Aime, Luca Cipelletti, Laurent Ponson and Gaël Pallares. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Soft Matter, Solar Physics, International Journal of Fracture and IEEE Transactions on Nuclear Science.
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.