Émile Faye

1.4k total citations
30 papers, 707 citations indexed

About

Émile Faye is a scholar working on Plant Science, Ecology and Forestry. According to data from OpenAlex, Émile Faye has authored 30 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 8 papers in Ecology and 7 papers in Forestry. Recurrent topics in Émile Faye's work include African Botany and Ecology Studies (6 papers), Insect Pest Control Strategies (6 papers) and Species Distribution and Climate Change (6 papers). Émile Faye is often cited by papers focused on African Botany and Ecology Studies (6 papers), Insect Pest Control Strategies (6 papers) and Species Distribution and Climate Change (6 papers). Émile Faye collaborates with scholars based in France, Senegal and Ecuador. Émile Faye's co-authors include Olivier Dangles, François Rebaudo, Mario Herrera, Éric Malézieux, Sylvain Pincebourde, Jürgen Kroschel, Bruno Condori, Soroush Parsa, Stephen Morse and Alejandro Bonifacio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Émile Faye

29 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Émile Faye France 13 261 226 149 120 105 30 707
Bester Tawona Mudereri Kenya 14 172 0.7× 192 0.8× 74 0.5× 96 0.8× 107 1.0× 43 575
Sean L. Tuck United Kingdom 3 261 1.0× 240 1.1× 120 0.8× 225 1.9× 50 0.5× 3 683
Sandra Skendžić Croatia 5 379 1.5× 166 0.7× 304 2.0× 202 1.7× 77 0.7× 9 826
Susana Baena United Kingdom 6 217 0.8× 150 0.7× 31 0.2× 101 0.8× 80 0.8× 7 692
Lior Blank Israel 18 240 0.9× 270 1.2× 91 0.6× 149 1.2× 123 1.2× 51 867
Felipe Librán‐Embid Germany 7 108 0.4× 168 0.7× 67 0.4× 146 1.2× 37 0.4× 11 540
Fabrice Vinatier France 15 229 0.9× 174 0.8× 178 1.2× 179 1.5× 17 0.2× 38 626
Shaun Coutts United Kingdom 15 278 1.1× 189 0.8× 87 0.6× 156 1.3× 92 0.9× 26 640
David Giralt Spain 16 86 0.3× 344 1.5× 109 0.7× 220 1.8× 135 1.3× 33 667
Mohsen B. Mesgaran United States 18 579 2.2× 193 0.9× 61 0.4× 259 2.2× 165 1.6× 54 1.1k

Countries citing papers authored by Émile Faye

Since Specialization
Citations

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

Fields of papers citing papers by Émile Faye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Émile Faye

This figure shows the co-authorship network connecting the top 25 collaborators of Émile Faye. A scholar is included among the top collaborators of Émile Faye 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 Émile Faye. Émile Faye 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
1.
Piry, Sylvain, Marie‐Pierre Chapuis, Émile Faye, et al.. (2024). Hierarchizing multi-scale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards. SHILAP Revista de lepidopterología. 4. 1 indexed citations
2.
Faye, Émile, et al.. (2023). Fruit yield estimation using image analysis is also about correcting the number of detections. Acta Horticulturae. 347–354. 1 indexed citations
3.
Taugourdeau, Simon, et al.. (2023). Unmanned aerial vehicle outputs and associated field measurements of the herbaceous and tree layers of the Senegalese savannah. African Journal of Ecology. 61(3). 730–735. 2 indexed citations
4.
Faye, Émile, et al.. (2023). Assessing production gaps at the tree scale: definition and application to mango (Mangifera indica L.) in West Africa. Agronomy for Sustainable Development. 43(5). 1 indexed citations
5.
Normand, Frédéric, et al.. (2023). Variability of mango tree production (‘Kent’) in northern Côte d’Ivoire. Acta Horticulturae. 83–92.
6.
Alexandre, C, et al.. (2023). Creating shared value(s) from On-Farm Experimentation: ten key lessons learned from the development of the SoYield® digital solution in Africa. Agronomy for Sustainable Development. 43(3). 3 indexed citations
7.
Taugourdeau, Simon, Ousmane Ndiaye, Abdoul Aziz Diouf, et al.. (2022). Estimating herbaceous aboveground biomass in Sahelian rangelands using Structure from Motion data collected on the ground and by UAV. Ecology and Evolution. 12(5). e8867–e8867. 11 indexed citations
8.
Malézieux, Éric, et al.. (2021). EFFECT OF THE LENGTH OF THE FLOWERING-HARVEST INTERVAL ON THE RIPENING AND QUALITY OF THE 'KENT' MANGO IN CÔTE D'IVOIRE. Journal of Experimental Biology and Agricultural Sciences. 9(2). 138–146. 1 indexed citations
9.
Faye, Émile, et al.. (2021). Low-cost drones help measure tree characteristics in the Sahelian savanna. Journal of Arid Environments. 187. 104449–104449. 14 indexed citations
10.
Ndiaye, Ousmane, Alain Audebert, Pierre Couteron, et al.. (2021). Unmanned aerial vehicle for the assessment of woody and herbaceous phytomass in Sahelian savanna. Revue d’élevage et de médecine vétérinaire des pays tropicaux. 74(4). 199–205. 4 indexed citations
11.
Roupsard, Olivier, Alain Audebert, Cathy Clermont‐Dauphin, et al.. (2020). How far does the tree affect the crop in agroforestry? New spatial analysis methods in a Faidherbia parkland. Agriculture Ecosystems & Environment. 296. 106928–106928. 50 indexed citations
12.
Faye, Émile, et al.. (2020). Mitigation of climatic conditions and pest protection provided by insect-proof nets for cabbage cultivation in East Africa. Experimental Agriculture. 56(4). 608–619. 4 indexed citations
13.
Heider, Bettina, et al.. (2020). Intraspecific diversity as a reservoir for heat-stress tolerance in sweet potato. Nature Climate Change. 11(1). 64–69. 29 indexed citations
14.
Malézieux, Éric, et al.. (2020). Is machine learning efficient for mango yield estimation when used under heterogeneous field conditions?. Acta Horticulturae. 201–208. 3 indexed citations
15.
Sow, Ahmadou, Émile Faye, Laure Benoit, et al.. (2020). Birds and bats contribute to natural regulation of the millet head miner in tree-crop agroforestry systems. Crop Protection. 132. 105127–105127. 22 indexed citations
16.
Faye, Émile, et al.. (2017). Does heterogeneity in crop canopy microclimates matter for pests? Evidence from aerial high-resolution thermography. Agriculture Ecosystems & Environment. 246. 124–133. 21 indexed citations
17.
Rebaudo, François, Émile Faye, & Olivier Dangles. (2016). Microclimate Data Improve Predictions of Insect Abundance Models Based on Calibrated Spatiotemporal Temperatures. Frontiers in Physiology. 7. 139–139. 45 indexed citations
18.
Faye, Émile, et al.. (2015). A toolbox for studying thermal heterogeneity across spatial scales: from unmanned aerial vehicle imagery to landscape metrics. Methods in Ecology and Evolution. 7(4). 437–446. 69 indexed citations
19.
Faye, Émile, Olivier Dangles, & Sylvain Pincebourde. (2015). Distance makes the difference in thermography for ecological studies. Journal of Thermal Biology. 56. 1–9. 50 indexed citations
20.

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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