Antoine Jay
Impact in
Papers in
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- Silicon and Solar Cell Technologies 6
- Semiconductor materials and devices 5
- Advancements in Semiconductor Devices and Circuit Design 3
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- Boron and Carbon Nanomaterials Research 5
- Diamond and Carbon-based Materials Research 4
- Machine Learning in Materials Science 3
- Co-authors
- Nicolas Richard (13 shared papers)Anne Hémeryck (18 shared papers)Jelena Sjakste (4 shared papers)Nathalie Vast (4 shared papers)Olivier Hardouin Duparc (4 shared papers)Vincent Goiffon (6 shared papers)M. Raine (3 shared papers)Normand Mousseau (6 shared papers)
In The Last Decade
Antoine Jay
17 papers receiving 269 citations
Peers
Comparison fields: 5 of 42
- Instrumentation 13
- Ceramics and Composites 19
- Materials Chemistry 136
- Computational Mechanics 54
- Electrical and Electronic Engineering 140
Countries citing papers authored by Antoine Jay
This map shows the geographic impact of Antoine Jay'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 Antoine Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antoine Jay more than expected).
Fields of papers citing papers by Antoine Jay
This network shows the impact of papers produced by Antoine Jay. 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 Antoine Jay. The network helps show where Antoine Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Antoine Jay, 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 | 2016 | 59 | |
| 2 | 2016 | 38 | |
| 3 | 2014 | 31 | |
| 4 | 2019 | 27 | |
| 5 | 2020 | 27 | |
| 6 | 2025 | 17 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2024 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2021 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2021 | 0 |
About Antoine Jay
Antoine Jay is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Computational Mechanics and Geophysics, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Silicon and Solar Cell Technologies (6 papers), Boron and Carbon Nanomaterials Research (5 papers), Semiconductor materials and devices (5 papers), Diamond and Carbon-based Materials Research (4 papers), Semiconductor materials and interfaces (4 papers), Ion-surface interactions and analysis (4 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Instrumentation (13 citations), Ceramics and Composites (19 citations), Materials Chemistry (136 citations), Computational Mechanics (54 citations) and Electrical and Electronic Engineering (140 citations). Antoine Jay has collaborated with scholars based in France, Italy and Canada. Frequent co-authors include Nicolas Richard, Anne Hémeryck, Jelena Sjakste, Nathalie Vast, Olivier Hardouin Duparc, Vincent Goiffon, M. Raine, Normand Mousseau, Pierre Magnan and Layla Martin‐Samos. Their work appears in journals such as IEEE Transactions on Nuclear Science, Journal of Applied Physics, Applied Surface Science, Acta Materialia and Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms.
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.