Nicolas Virlet

1.1k total citations · 1 hit paper
19 papers, 806 citations indexed

About

Nicolas Virlet is a scholar working on Plant Science, Ecology and Analytical Chemistry. According to data from OpenAlex, Nicolas Virlet has authored 19 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Plant Science, 13 papers in Ecology and 4 papers in Analytical Chemistry. Recurrent topics in Nicolas Virlet's work include Remote Sensing in Agriculture (13 papers), Leaf Properties and Growth Measurement (8 papers) and Smart Agriculture and AI (7 papers). Nicolas Virlet is often cited by papers focused on Remote Sensing in Agriculture (13 papers), Leaf Properties and Growth Measurement (8 papers) and Smart Agriculture and AI (7 papers). Nicolas Virlet collaborates with scholars based in United Kingdom, Morocco and France. Nicolas Virlet's co-authors include Malcolm J. Hawkesford, Pouria Sadeghi‐Tehran, Sabrina Labbé, Jean‐Luc Regnard, Audrey Jolivot, David Gómez-Candón, Sébastien Martinez, Evelyne Costes, Valentine Lebourgeois and J.L. Regnard and has published in prestigious journals such as Journal of Experimental Botany, Frontiers in Plant Science and Remote Sensing.

In The Last Decade

Nicolas Virlet

19 papers receiving 784 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

2016 275 citations Nicolas Virlet, Pouria Sadeghi‐Tehran et al. Functional Plant Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Virlet United Kingdom	11	622	423	166	136	89	19	806
José A. Fernandez-Gallego Colombia	10	524 0.8×	371 0.9×	144 0.9×	120 0.9×	53 0.6×	27	679
Jiangchuan Fan China	15	593 1.0×	315 0.7×	274 1.7×	90 0.7×	87 1.0×	34	946
Simon Madec France	11	788 1.3×	575 1.4×	302 1.8×	201 1.5×	67 0.8×	16	1.0k
Geng Bai United States	13	696 1.1×	393 0.9×	148 0.9×	137 1.0×	70 0.8×	37	990
Liang Han China	12	542 0.9×	576 1.4×	362 2.2×	107 0.8×	65 0.7×	17	894
Mengjiao Yang China	11	546 0.9×	470 1.1×	225 1.4×	91 0.7×	78 0.9×	23	894
Duke Pauli United States	14	676 1.1×	299 0.7×	170 1.0×	55 0.4×	149 1.7×	36	923
Tao Duan China	9	445 0.7×	465 1.1×	286 1.7×	42 0.3×	60 0.7×	36	751
Benoît de Solan France	16	930 1.5×	728 1.7×	341 2.1×	200 1.5×	92 1.0×	30	1.2k
Jiwan Han China	15	499 0.8×	401 0.9×	231 1.4×	131 1.0×	57 0.6×	41	998

Countries citing papers authored by Nicolas Virlet

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Virlet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Virlet

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

All Works

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19 of 19 papers shown

Okyere, Frank Gyan, Nicolas Virlet, March Castle, et al.. (2024). Hyperspectral Imaging for Phenotyping Plant Drought Stress and Nitrogen Interactions Using Multivariate Modeling and Machine Learning Techniques in Wheat. Remote Sensing. 16(18). 3446–3446. 9 indexed citations

Virlet, Nicolas, March Castle, A. B. Riche, et al.. (2023). Field phenotyping for African crops: overview and perspectives. Frontiers in Plant Science. 14. 1219673–1219673. 9 indexed citations

Okyere, Frank Gyan, Pouria Sadeghi‐Tehran, Nicolas Virlet, et al.. (2023). Modeling the spatial-spectral characteristics of plants for nutrient status identification using hyperspectral data and deep learning methods. Frontiers in Plant Science. 14. 1209500–1209500. 11 indexed citations

Okyere, Frank Gyan, Pouria Sadeghi‐Tehran, Nicolas Virlet, et al.. (2023). Machine Learning Methods for Automatic Segmentation of Images of Field- and Glasshouse-Based Plants for High-Throughput Phenotyping. Plants. 12(10). 2035–2035. 9 indexed citations

Virlet, Nicolas, et al.. (2022). A predictive model of wheat grain yield based on canopy reflectance indices and theoretical definition of yield potential. Theoretical and Experimental Plant Physiology. 34(4). 537–550. 5 indexed citations

Sadeghi‐Tehran, Pouria, Nicolas Virlet, & Malcolm J. Hawkesford. (2021). A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery. Remote Sensing. 13(5). 898–898. 14 indexed citations

Blanchy, Guillaume, Nicolas Virlet, Pouria Sadeghi‐Tehran, et al.. (2020). Time‐intensive geoelectrical monitoring under winter wheat. Near Surface Geophysics. 18(4). 413–425. 7 indexed citations

Lyra, Danilo Hottis, Nicolas Virlet, Pouria Sadeghi‐Tehran, et al.. (2020). Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform. Journal of Experimental Botany. 71(6). 1885–1898. 33 indexed citations

Sadeghi‐Tehran, Pouria, Plamen Angelov, Nicolas Virlet, & Malcolm J. Hawkesford. (2019). Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. Journal of Imaging. 5(3). 33–33. 20 indexed citations

10.

Sadeghi‐Tehran, Pouria, et al.. (2019). DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks. Frontiers in Plant Science. 10. 1176–1176. 112 indexed citations

11.

Sadeghi‐Tehran, Pouria, et al.. (2017). Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping. Plant Methods. 13(1). 103–103. 43 indexed citations

12.

Sadeghi‐Tehran, Pouria, et al.. (2017). Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering. Frontiers in Plant Science. 8. 252–252. 89 indexed citations

13.

Gómez-Candón, David, Nicolas Virlet, Sabrina Labbé, Audrey Jolivot, & Jean‐Luc Regnard. (2016). Field phenotyping of water stress at tree scale by UAV-sensed imagery: new insights for thermal acquisition and calibration. Precision Agriculture. 17(6). 786–800. 102 indexed citations

14.

Virlet, Nicolas, et al.. (2016). Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring. Functional Plant Biology. 44(1). 143–153. 275 indexed citations breakdown →

15.

Virlet, Nicolas, David Gómez-Candón, Valentine Lebourgeois, et al.. (2016). Contribution of high-resolution remotely sensed thermal-infrared imagery to high-throughput field phenotyping of an apple progeny submitted to water constraints. Acta Horticulturae. 243–250. 2 indexed citations

16.

Virlet, Nicolas, Evelyne Costes, Sébastien Martinez, Jean‐Jacques Kelner, & Jean‐Luc Regnard. (2015). Multispectral airborne imagery in the field reveals genetic determinisms of morphological and transpiration traits of an apple tree hybrid population in response to water deficit. Journal of Experimental Botany. 66(18). 5453–5465. 26 indexed citations

17.

Virlet, Nicolas, et al.. (2015). PHENOTYPING THE RESPONSE OF AN APPLE TREE HYBRID POPULATION TO SOIL WATER CONSTRAINT UNDER FIELD CONDITIONS: NEW INSIGHTS BROUGHT BY HIGH RESOLUTION IMAGING. Acta Horticulturae. 879–886. 2 indexed citations

18.

Virlet, Nicolas, Valentine Lebourgeois, Sébastien Martinez, et al.. (2014). Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraints. Journal of Experimental Botany. 65(18). 5429–5442. 37 indexed citations

19.

Virlet, Nicolas, Evelyne Costes, Sébastien Martinez, et al.. (2011). Contribution of airborne remote sensing to high-throughput phenotyping of an hybrid apple population in response to soil water constraint. Agritrop (Cirad). 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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