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Hervé Goëau

ResearcherPublications, citations & collaboration network

Hervé Goëau is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 148 works, 3,320 citations, an h-index of 31 and an i10-index of 65.

148
Works
3,320
Citations
31
h-index
65
i10-index

How has Hervé Goëau's publication output changed over time?

ScholarIQpublication output · 2013–2020

Output grew100% over the shown period — from 2 works in 2013 to 4 in 2020.

2
1
2
1
4
20132014201520172020

What are the most-cited papers on Hervé Goëau?

ScholarIQmost cited works
New perspectives on plant disease characterization based on deep learning
Sue Han Lee, Hervé Goëau, Pierre Bonnet, Alexis Joly
Computers and Electronics in Agriculture. 2020340 CitationsOPEN ACCESS
Going deeper in the automated identification of Herbarium specimens
Jose Carranza-Rojas, Hervé Goëau, Pierre Bonnet, Erick Mata‐Montero, Alexis Joly
S64097828. 2017242 CitationsOPEN ACCESS
Interactive plant identification based on social image data
Alexis Joly, Hervé Goëau, Pierre Bonnet, Vera Bakić, Julien Barbe, Souheil Selmi, Itheri Yahiaoui, Jennifer Carré, Elise Mouysset, Jean‐François Molino, Nozha Boujemaa, Daniel Barthélémy
S195809937. 2013156 Citations
A look inside the Pl@ntNet experience
Alexis Joly, Pierre Bonnet, Hervé Goëau, Julien Barbe, Souheil Selmi, Julien Champ, Samuel Dufour-Kowalski, Antoine Affouard, Jennifer Carré, Jean‐François Molino, Nozha Boujemaa, Daniel Barthélémy
S112262039. 2015125 Citations
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
Julien Champ, Adán Mora-Fallas, Hervé Goëau, Erick Mata‐Montero, Pierre Bonnet, Alexis Joly
S2736862409. 2020125 CitationsOPEN ACCESS

Related on ScholarIQ

Centre National de la Recherche Scientifique
Institution
New perspectives on plant disease characterization based on deep learning
Paper
Going deeper in the automated identification of Herbarium specimens
Paper
Interactive plant identification based on social image data
Paper
A look inside the Pl@ntNet experience
Paper
Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots
Paper
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