Sylvie Duthoit

1.7k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Sylvie Duthoit is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Sylvie Duthoit has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Plant Science and 6 papers in Global and Planetary Change. Recurrent topics in Sylvie Duthoit's work include Remote Sensing in Agriculture (8 papers), Horticultural and Viticultural Research (5 papers) and Land Use and Ecosystem Services (3 papers). Sylvie Duthoit is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Horticultural and Viticultural Research (5 papers) and Land Use and Ecosystem Services (3 papers). Sylvie Duthoit collaborates with scholars based in France, South Africa and United Kingdom. Sylvie Duthoit's co-authors include Olivier Maurin, Vincent Savolainen, Renaud Lahaye, Michelle van der Bank, Jorge Warner, Diego Bogarín, Timothy G. Barraclough, Franco Pupulin, Guillaume Gigot and Gérard Dedieu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Agricultural and Forest Meteorology.

In The Last Decade

Sylvie Duthoit

15 papers receiving 1.3k 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.

DNA barcoding the floras of biodiversity hotspots

2008 726 citations Renaud Lahaye, Michelle van der Bank et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sylvie Duthoit France	9	577	540	530	261	224	15	1.3k
Roland Pieruschka Germany	21	1.5k 2.5×	331 0.6×	424 0.8×	162 0.6×	149 0.7×	45	1.9k
Malia Gehan United States	16	1.3k 2.2×	393 0.7×	366 0.7×	56 0.2×	242 1.1×	29	1.6k
Xavier Sirault Australia	22	1.7k 3.0×	673 1.2×	292 0.6×	71 0.3×	281 1.3×	38	2.2k
Uli Schurr Germany	17	1.7k 3.0×	309 0.6×	643 1.2×	189 0.7×	137 0.6×	23	2.4k
Evelyne Costes France	30	2.4k 4.2×	216 0.4×	928 1.8×	226 0.9×	160 0.7×	144	2.8k
Michael Gomez Selvaraj Colombia	23	1.5k 2.6×	288 0.5×	295 0.6×	66 0.3×	124 0.6×	60	1.8k
John J. Couture United States	25	788 1.4×	737 1.4×	93 0.2×	251 1.0×	72 0.3×	49	1.5k
Nathalie Wuyts Belgium	17	1.1k 1.9×	372 0.7×	252 0.5×	54 0.2×	91 0.4×	34	1.4k
C. Miranda Spain	23	1.2k 2.1×	300 0.6×	226 0.4×	92 0.4×	57 0.3×	72	1.5k
Christine Granier France	30	2.6k 4.5×	293 0.5×	779 1.5×	229 0.9×	347 1.5×	47	3.0k

Countries citing papers authored by Sylvie Duthoit

Since Specialization

Citations

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

Fields of papers citing papers by Sylvie Duthoit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvie Duthoit

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

All Works

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15 of 15 papers shown

Duthoit, Sylvie, et al.. (2022). Reconstruction of Sentinel-2 derived time series using robust Gaussian mixture models — Application to the detection of anomalous crop development. Computers and Electronics in Agriculture. 198. 106983–106983. 20 indexed citations

Duthoit, Sylvie, et al.. (2022). Robust Estimation of Gaussian Mixture Models Using Anomaly Scores and Bayesian Information Criterion for Missing Value Imputation. 2022 30th European Signal Processing Conference (EUSIPCO). 827–831. 1 indexed citations

Duthoit, Sylvie, et al.. (2021). Understanding Vine Hyperspectral Signature through Different Irrigation Plans: A First Step to Monitor Vineyard Water Status. Remote Sensing. 13(3). 536–536. 25 indexed citations

Duthoit, Sylvie, et al.. (2021). Monitoring vineyard water status using Sentinel-2 images: qualitative survey on five wine estates in the south of France. OENO One. 55(4). 115–127. 5 indexed citations

Duthoit, Sylvie, et al.. (2021). Towards Vine Water Status Monitoring on a Large Scale Using Sentinel-2 Images. Remote Sensing. 13(9). 1837–1837. 24 indexed citations

Duthoit, Sylvie, et al.. (2020). Towards a massive sentinel-2 LAI time-series production using 2-D convolutional networks. Computers and Electronics in Agriculture. 180. 105899–105899. 4 indexed citations

Duthoit, Sylvie, et al.. (2018). How can remote sensing techniques help monitoring the vine and maximize the terroir potential?. SHILAP Revista de lepidopterología. 50. 2007–2007. 2 indexed citations

Jacquin, Anne, et al.. (2018). On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases. Remote Sensing. 11(1). 23–23. 90 indexed citations

Duthoit, Sylvie, et al.. (2017). Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery. Remote Sensing. 9(4). 308–308. 148 indexed citations

10.

Ducrot, Danielle, et al.. (2015). Identification and characterization of agro-ecological infrastructures by remote sensing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9637. 96372H–96372H. 2 indexed citations

11.

Lahaye, Renaud, Michelle van der Bank, Diego Bogarín, et al.. (2008). DNA barcoding the floras of biodiversity hotspots. Proceedings of the National Academy of Sciences. 105(8). 2923–2928. 726 indexed citations breakdown →

12.

Duthoit, Sylvie, Valérie Demarez, Jean‐Philippe Gastellu‐Etchegorry, Emmanuel Martin, & Jean‐Louis Roujean. (2008). Assessing the effects of the clumping phenomenon on BRDF of a maize crop based on 3D numerical scenes using DART model. Agricultural and Forest Meteorology. 148(8-9). 1341–1352. 51 indexed citations

13.

Lahaye, Renaud, Michelle van der Bank, Olivier Maurin, Sylvie Duthoit, & Vincent Savolainen. (2008). A DNA barcode for the flora of the Kruger National Park (South Africa). South African Journal of Botany. 74(2). 370–371. 7 indexed citations

14.

Lahaye, Renaud, Vincent Savolainen, Sylvie Duthoit, Olivier Maurin, & Michelle van der Bank. (2008). A test of psbK-psbI and atpF-atpH as potential plant DNA barcodes using the flora of the Kruger National Park as a model system (South Africa). 26 indexed citations

15.

Demarez, Valérie, Sylvie Duthoit, Frédéric Baret, Marie Weiss, & Gérard Dedieu. (2008). Estimation of leaf area and clumping indexes of crops with hemispherical photographs. Agricultural and Forest Meteorology. 148(4). 644–655. 202 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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