Benoît de Solan
Impact in
- Ecology top 2%
- Remote Sensing in Agriculture
- Plant Science top 2%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Greenhouse Technology and Climate Control
Papers in
-
- Leaf Properties and Growth Measurement 13
- Smart Agriculture and AI 7
- Greenhouse Technology and Climate Control 6
- Horticultural and Viticultural Research 2
- Wheat and Barley Genetics and Pathology 2
- Ecology 19
- Remote Sensing in Agriculture 19
- Co-authors
- Frédéric Baret (20 shared papers)Simon Madec (7 shared papers)Alexis Comar (9 shared papers)Shouyang Liu (7 shared papers)Samuel Thomas (5 shared papers)Xiuliang Jin (2 shared papers)Dan Dutartre (2 shared papers)Matthieu Hemmerlé (2 shared papers)
In The Last Decade
Benoît de Solan
27 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 64
- Ecology 728
- Plant Science 930
- Environmental Engineering 341
- Analytical Chemistry 200
- Geology 47
Countries citing papers authored by Benoît de Solan
This map shows the geographic impact of Benoît de Solan'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 Benoît de Solan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoît de Solan more than expected).
Fields of papers citing papers by Benoît de Solan
This network shows the impact of papers produced by Benoît de Solan. 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 Benoît de Solan. The network helps show where Benoît de Solan may publish in the future.
Co-authors
The 25 scholars most cited alongside Benoît de Solan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 254 | |
| 2 | 2018 | 221 | |
| 3 | 2020 | 168 | |
| 4 | 2012 | 88 | |
| 5 | 2011 | 72 | |
| 6 | 2017 | 63 | |
| 7 | 2012 | 52 | |
| 8 | 2014 | 40 | |
| 9 | 2019 | 37 | |
| 10 | 2019 | 33 | |
| 11 | 2020 | 32 | |
| 12 | 2018 | 28 | |
| 13 | 2023 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2023 | 20 | |
| 16 | 2024 | 17 | |
| 17 | 2023 | 14 | |
| 18 | 2023 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2023 | 6 |
About Benoît de Solan
Benoît de Solan is a scholar working on Plant Science, Ecology, Environmental Engineering, Global and Planetary Change and Agronomy and Crop Science, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (19 papers), Leaf Properties and Growth Measurement (13 papers), Remote Sensing and LiDAR Applications (7 papers), Smart Agriculture and AI (7 papers), Greenhouse Technology and Climate Control (6 papers), Land Use and Ecosystem Services (3 papers), Horticultural and Viticultural Research (2 papers) and Wheat and Barley Genetics and Pathology (2 papers). The work is most often cited by research in Ecology (728 citations), Plant Science (930 citations), Environmental Engineering (341 citations), Analytical Chemistry (200 citations) and Geology (47 citations). Benoît de Solan has collaborated with scholars based in France, China and Australia. Frequent co-authors include Frédéric Baret, Simon Madec, Alexis Comar, Shouyang Liu, Samuel Thomas, Xiuliang Jin, Dan Dutartre, Matthieu Hemmerlé, S. Jézéquel and Hao Lü. Their work appears in journals such as Plant Phenomics, Remote Sensing of Environment, Frontiers in Plant Science, Field Crops Research and Computers and Electronics in Agriculture.
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.