Sylvain Jay
Impact in
- Ecology top 2%
- Remote Sensing in Agriculture
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications
Papers in
- Ecology 18
- Remote Sensing in Agriculture 18
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- Remote-Sensing Image Classification 12
- Co-authors
- Nathalie Gorretta (9 shared papers)Ryad Bendoula (9 shared papers)Fabienne Maupas (4 shared papers)Mireille Guillaume (12 shared papers)Xavier Hadoux (4 shared papers)Gilles Rabatel (3 shared papers)Frédéric Baret (9 shared papers)Alexis Comar (7 shared papers)
- Journals
- Remote Sensing of Environment (8 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Computers and Electronics in Agriculture (2 papers)Remote Sensing (2 papers)Optics Express (2 papers)
- Partner nations
- FranceChinaUnited States
In The Last Decade
Sylvain Jay
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 72
- Ecology 851
- Environmental Engineering 396
- Analytical Chemistry 215
- Media Technology 171
- Plant Science 620
Countries citing papers authored by Sylvain Jay
This map shows the geographic impact of Sylvain 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 Sylvain Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvain Jay more than expected).
Fields of papers citing papers by Sylvain Jay
This network shows the impact of papers produced by Sylvain 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 Sylvain Jay. The network helps show where Sylvain Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Sylvain 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 220 | |
| 2 | 2018 | 175 | |
| 3 | 2018 | 142 | |
| 4 | 2017 | 132 | |
| 5 | 2014 | 131 | |
| 6 | 2016 | 119 | |
| 7 | 2014 | 66 | |
| 8 | 2017 | 59 | |
| 9 | 2012 | 38 | |
| 10 | 2020 | 32 | |
| 11 | 2018 | 27 | |
| 12 | 2016 | 23 | |
| 13 | 2023 | 16 | |
| 14 | 2017 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2010 | 7 | |
| 18 | 2018 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2011 | 6 |
About Sylvain Jay
Sylvain Jay is a scholar working on Ecology, Media Technology, Plant Science, Oceanography and Environmental Engineering, having authored 31 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (18 papers), Remote-Sensing Image Classification (12 papers), Leaf Properties and Growth Measurement (10 papers), Marine and coastal ecosystems (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Remote Sensing and LiDAR Applications (4 papers), Remote Sensing and Land Use (4 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Ecology (851 citations), Environmental Engineering (396 citations), Analytical Chemistry (215 citations), Media Technology (171 citations) and Plant Science (620 citations). Sylvain Jay has collaborated with scholars based in France, China and United States. Frequent co-authors include Nathalie Gorretta, Ryad Bendoula, Fabienne Maupas, Mireille Guillaume, Xavier Hadoux, Gilles Rabatel, Frédéric Baret, Alexis Comar, Dan Dutartre and Jean‐Baptiste Féret. Their work appears in journals such as Remote Sensing of Environment, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Computers and Electronics in Agriculture, Remote Sensing and Optics Express.
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.