Benoît de Solan

2.0k citations
34 papers · 1.4k · h-index 17

Impact in

  • Ecology top 2%
    • Remote Sensing in Agriculture
    • 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
    • Remote Sensing in Agriculture 22

Benoît de Solan

31 papers receiving 1.4k citations

Peers

Benoît de Solan
Comparison fields: 5 of 65
  • Ecology 766
  • Plant Science 1.0k
  • Environmental Engineering 345
  • Analytical Chemistry 205
  • Ecological Modeling 37
Replace Yeyin Shi with:
Yeyin Shi United States
Simon Madec France
Juan Landivar United States
Shouyang Liu China
Michael P. Pound United Kingdom
Weiliang Wen China
Jiangang Liu China
Wei Guo Japan
Alexis Comar France
Yuntao Ma China
Benoît de Solan relative to Yeyin Shi United States Yeyin Shi's profile →
Citations per field
00.5×4.6×
Yeyin Shi · 1×
Citations per year

Countries citing papers authored by Benoît de Solan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Benoît de Solan Line = papers co-authored together Benoît de Solan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017268
2 2018236
3 2020192
4 201297
5 201174
6 201766
7 201264
8 201452
9 201943
10 201939
11 202336
12 202035
13 201829
14 201929
15 202324
16 202419
17 202316
18 202310
19 20189
20 20238

About Benoît de Solan

Benoît de Solan is a scholar working on Plant Science, Ecology, Environmental Engineering, Global and Planetary Change and Atmospheric Science, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (22 papers), Leaf Properties and Growth Measurement (13 papers), Remote Sensing and LiDAR Applications (8 papers), Smart Agriculture and AI (7 papers), Greenhouse Technology and Climate Control (6 papers), Land Use and Ecosystem Services (4 papers), Crop Yield and Soil Fertility (2 papers) and Plant Water Relations and Carbon Dynamics (2 papers). The work is most often cited by research in Ecology (766 citations), Plant Science (1.0k citations), Environmental Engineering (345 citations), Analytical Chemistry (205 citations) and Ecological Modeling (37 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, Matthieu Hemmerlé, Dan Dutartre, S. Jézéquel and Hao Lü. Their work appears in journals such as Plant Phenomics, Remote Sensing of Environment, Frontiers in Plant Science, Agricultural and Forest Meteorology 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.

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