Benoît de Solan

2.0k total citations
30 papers, 1.2k citations indexed

About

Benoît de Solan is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Benoît de Solan has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Plant Science, 19 papers in Ecology and 8 papers in Environmental Engineering. Recurrent topics in Benoît de Solan's work include Remote Sensing in Agriculture (19 papers), Leaf Properties and Growth Measurement (13 papers) and Remote Sensing and LiDAR Applications (7 papers). Benoît de Solan is often cited by papers focused on Remote Sensing in Agriculture (19 papers), Leaf Properties and Growth Measurement (13 papers) and Remote Sensing and LiDAR Applications (7 papers). Benoît de Solan collaborates with scholars based in France, China and Australia. Benoît de Solan's co-authors include Frédéric Baret, Simon Madec, Alexis Comar, Shouyang Liu, Samuel Thomas, Xiuliang Jin, Matthieu Hemmerlé, Dan Dutartre, S. Jézéquel and Hao Lü and has published in prestigious journals such as Remote Sensing of Environment, Journal of Experimental Botany and Frontiers in Plant Science.

In The Last Decade

Benoît de Solan

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benoît de Solan France 16 930 728 341 200 141 30 1.2k
Yeyin Shi United States 23 1.1k 1.2× 823 1.1× 436 1.3× 235 1.2× 188 1.3× 80 1.8k
Weiliang Wen China 19 1.0k 1.1× 507 0.7× 368 1.1× 129 0.6× 63 0.4× 90 1.4k
Simon Madec France 11 788 0.8× 575 0.8× 302 0.9× 201 1.0× 58 0.4× 16 1.0k
Murilo Maeda United States 17 826 0.9× 794 1.1× 522 1.5× 113 0.6× 167 1.2× 31 1.3k
Juan Landivar United States 22 993 1.1× 765 1.1× 498 1.5× 106 0.5× 190 1.3× 59 1.4k
Michael P. Pound United Kingdom 21 1.8k 2.0× 444 0.6× 299 0.9× 165 0.8× 101 0.7× 50 2.3k
Jiangang Liu China 15 758 0.8× 771 1.1× 463 1.4× 139 0.7× 167 1.2× 56 1.4k
Shouyang Liu China 21 1.1k 1.2× 987 1.4× 537 1.6× 239 1.2× 324 2.3× 45 1.7k
Nadia Shakoor United States 16 829 0.9× 592 0.8× 347 1.0× 150 0.8× 148 1.0× 36 1.4k
Chengming Sun China 21 845 0.9× 505 0.7× 227 0.7× 279 1.4× 95 0.7× 99 1.3k

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-authorship network of co-authors of Benoît de Solan

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît de Solan. A scholar is included among the top collaborators of Benoît de Solan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benoît de Solan. Benoît de Solan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Zhu, Chen, Shouyang Liu, Xiaogang Yin, et al.. (2024). Genotype × environment × management analysis to define allometric rules between leaves and stems in wheat. Journal of Experimental Botany. 75(20). 6388–6404. 2 indexed citations
4.
Li, Wenjuan, Marie Weiss, Sylvain Jay, et al.. (2023). Daily monitoring of Effective Green Area Index and Vegetation Chlorophyll Content from continuous acquisitions of a multi-band spectrometer over winter wheat. Remote Sensing of Environment. 300. 113883–113883. 14 indexed citations
5.
Madec, Simon, Frédéric Baret, Étienne David, et al.. (2023). VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Scientific Data. 10(1). 302–302. 20 indexed citations
6.
Liu, Shouyang, Hao Lü, Jiang Rui-bo, et al.. (2023). Self-Supervised Plant Phenotyping by Combining Domain Adaptation with 3D Plant Model Simulations: Application to Wheat Leaf Counting at Seedling Stage. Plant Phenomics. 5. 41–41. 27 indexed citations
7.
David, Étienne, Daniel Smith, Scott Chapman, et al.. (2023). Global Wheat Head Detection Challenges: Winning Models and Application for Head Counting. Plant Phenomics. 5. 59–59. 8 indexed citations
8.
López‐Lozano, Raúl, et al.. (2023). Analyzing Changes in Maize Leaves Orientation due to GxExM Using an Automatic Method from RGB Images. Plant Phenomics. 5. 46–46. 6 indexed citations
9.
David, Étienne, Simon Madec, Pouria Sadeghi‐Tehran, et al.. (2020). Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods. Plant Phenomics. 2020. 3521852–3521852. 168 indexed citations
10.
Beauchêne, Katia, Antoine Fournier, Josiane Lorgeou, et al.. (2019). Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform. Frontiers in Plant Science. 10. 904–904. 33 indexed citations
11.
Jin, Xiuliang, Simon Madec, Dan Dutartre, et al.. (2019). High-Throughput Measurements of Stem Characteristics to Estimate Ear Density and Above-Ground Biomass. Plant Phenomics. 2019. 4820305–4820305. 37 indexed citations
12.
Solan, Benoît de, et al.. (2019). Architectural Response of Wheat Cultivars to Row Spacing Reveals Altered Perception of Plant Density. Frontiers in Plant Science. 10. 999–999. 26 indexed citations
13.
Fournier, Christian, et al.. (2018). Parameterising wheat leaf and tiller dynamics for faithful reconstruction of wheat plants by structural plant models. Field Crops Research. 218. 213–230. 28 indexed citations
14.
Madec, Simon, Xiuliang Jin, Hao Lü, et al.. (2018). Ear density estimation from high resolution RGB imagery using deep learning technique. Agricultural and Forest Meteorology. 264. 225–234. 221 indexed citations
15.
Madec, Simon, Frédéric Baret, Benoît de Solan, et al.. (2017). High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates. Frontiers in Plant Science. 8. 2002–2002. 254 indexed citations
16.
Liu, Shouyang, Frédéric Baret, Bruno Andrieu, et al.. (2017). Modeling the spatial distribution of plants on the row for wheat crops: Consequences on the green fraction at the canopy level. Computers and Electronics in Agriculture. 136. 147–156. 7 indexed citations
17.
Gouache, David, Katia Beauchêne, Antoine Fournier, et al.. (2016). Applying remote sensing expertise to crop improvement: progress and challenges to scale up high throughput field phenotyping from research to industry. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9866. 986604–986604. 2 indexed citations
18.
Comar, Alexis, Philippe Burger, Benoît de Solan, et al.. (2012). A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results. Functional Plant Biology. 39(11). 914–924. 88 indexed citations
19.
Comar, Alexis, Frédéric Baret, Françoise Viénot, Lei Yan, & Benoît de Solan. (2012). Wheat leaf bidirectional reflectance measurements: Description and quantification of the volume, specular and hot-spot scattering features. Remote Sensing of Environment. 121. 26–35. 52 indexed citations
20.
Solan, Benoît de, et al.. (2001). GIS, MULTI-DATE AND MULTI-SOURCE DATA FOR DETERMINING SHORELINE CHANGES: A CASE FOR GAUTAMI GODAVARI DELTA, EAST COAST OF INDIA. SPIRE - Sciences Po Institutional REpository. 1 indexed citations

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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