Simon Madec

1.6k total citations
16 papers, 1.0k citations indexed

About

Simon Madec is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Simon Madec has authored 16 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Ecology, 10 papers in Plant Science and 7 papers in Environmental Engineering. Recurrent topics in Simon Madec's work include Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (7 papers) and Smart Agriculture and AI (6 papers). Simon Madec is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Remote Sensing and LiDAR Applications (7 papers) and Smart Agriculture and AI (6 papers). Simon Madec collaborates with scholars based in France, China and Australia. Simon Madec's co-authors include Frédéric Baret, Benoît de Solan, Alexis Comar, Hao Lü, Dan Dutartre, Shouyang Liu, Matthieu Hemmerlé, Xiuliang Jin, S. Jézéquel and Samuel Thomas 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

Simon Madec

16 papers receiving 998 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Madec France	11	788	575	302	201	94	16	1.0k
Benoît de Solan France	16	930 1.2×	728 1.3×	341 1.1×	200 1.0×	75 0.8×	30	1.2k
Shangpeng Sun China	15	605 0.8×	383 0.7×	331 1.1×	93 0.5×	63 0.7×	43	916
Weiliang Wen China	19	1.0k 1.3×	507 0.9×	368 1.2×	129 0.6×	65 0.7×	90	1.4k
Pouria Sadeghi‐Tehran United Kingdom	12	633 0.8×	374 0.7×	128 0.4×	168 0.8×	152 1.6×	24	924
Stefan Paulus Germany	20	1.2k 1.6×	797 1.4×	595 2.0×	289 1.4×	109 1.2×	39	1.6k
Nicolas Virlet United Kingdom	11	622 0.8×	423 0.7×	166 0.5×	136 0.7×	42 0.4×	19	806
Shouyang Liu China	21	1.1k 1.4×	987 1.7×	537 1.8×	239 1.2×	87 0.9×	45	1.7k
Juan Landivar United States	22	993 1.3×	765 1.3×	498 1.6×	106 0.5×	31 0.3×	59	1.4k
Chengquan Zhou China	23	818 1.0×	992 1.7×	550 1.8×	311 1.5×	64 0.7×	39	1.5k
Ce Yang United States	19	987 1.3×	573 1.0×	177 0.6×	579 2.9×	45 0.5×	40	1.4k

Countries citing papers authored by Simon Madec

Since Specialization

Citations

This map shows the geographic impact of Simon Madec'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 Simon Madec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Madec more than expected).

Fields of papers citing papers by Simon Madec

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Madec. 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 Simon Madec. The network helps show where Simon Madec may publish in the future.

Co-authorship network of co-authors of Simon Madec

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Madec. A scholar is included among the top collaborators of Simon Madec 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 Simon Madec. Simon Madec is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Bégué, Agnès, Simon Madec, Louise Leroux, et al.. (2023). How Well Do EO-Based Food Security Warning Systems for Food Security Agree? Comparison of NDVI-Based Vegetation Anomaly Maps in West Africa. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 1641–1653. 3 indexed citations

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

Gu, Yanyang, Andries Potgieter, Étienne David, et al.. (2023). From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection. Plant Phenomics. 5. 17–17. 2 indexed citations

Madec, Simon, et al.. (2022). SegVeg: Segmenting RGB Images into Green and Senescent Vegetation by Combining Deep and Shallow Methods. Plant Phenomics. 2022. 9803570–9803570. 29 indexed citations

Li, Wenjuan, Alexis Comar, Marie Weiss, et al.. (2021). A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images. Plant Phenomics. 2021. 9892647–9892647. 5 indexed citations

López‐Lozano, Raúl, et al.. (2021). Estimates of maize plant density from UAV RGB images using Faster-RCNN detection model: impact of the spatial resolution. arXiv (Cornell University). 51 indexed citations

Li, Wenjuan, Jingyi Jiang, Marie Weiss, et al.. (2021). Impact of the reproductive organs on crop BRDF as observed from a UAV. Remote Sensing of Environment. 259. 112433–112433. 38 indexed citations

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

Madec, Simon, Benoît de Solan, Raúl López‐Lozano, et al.. (2020). An automatic method based on daily in situ images and deep learning to date wheat heading stage. Field Crops Research. 252. 107793–107793. 32 indexed citations

10.

Madec, Simon, et al.. (2019). The P2S2 segmentation dataset: annotated in-field multi-crop RGB images acquired under various conditions. SPIRE - Sciences Po Institutional REpository. 1 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.

Xiong, Haipeng, Zhiguo Cao, Hao Lü, et al.. (2019). TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks. Plant Methods. 15(1). 101 indexed citations

13.

Weiss, Marie, Jean‐Pierre Goffart, Viviane Planchón, et al.. (2019). The P2S2 Validation Database for Decametric Resolution Crop Products: Green Area Index, Fraction of Intercepted Light, Green Fraction and Chlorophyll Content. HAL (Le Centre pour la Communication Scientifique Directe). 8. 4588–4591. 2 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.

Baret, Frédéric, et al.. (2018). Leaf-rolling in maize crops: from leaf scoring to canopy-level measurements for phenotyping. Journal of Experimental Botany. 69(10). 2705–2716. 56 indexed citations

16.

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

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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