Alexis Joly

5.2k total citations · 1 hit paper
85 papers, 1.8k citations indexed

About

Alexis Joly is a scholar working on Ecological Modeling, Ecology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alexis Joly has authored 85 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Ecological Modeling, 27 papers in Ecology and 26 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alexis Joly's work include Species Distribution and Climate Change (40 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Smart Agriculture and AI (18 papers). Alexis Joly is often cited by papers focused on Species Distribution and Climate Change (40 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Smart Agriculture and AI (18 papers). Alexis Joly collaborates with scholars based in France, Italy and United States. Alexis Joly's co-authors include Pierre Bonnet, Olivier Buisson, Hervé Goëau, Carl Frélicot, Sue Han Lee, Erick Mata‐Montero, Nozha Boujemaa, Julien Champ, François Munoz and Christophe Botella and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and New Phytologist.

In The Last Decade

Alexis Joly

76 papers receiving 1.7k citations

Hit Papers

New perspectives on plant disease characterization based ... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexis Joly France 20 658 523 462 406 228 85 1.8k
Volker Steinhage Germany 19 354 0.5× 367 0.7× 101 0.2× 258 0.6× 260 1.1× 51 1.4k
Jana Wäldchen Germany 19 600 0.9× 89 0.2× 424 0.9× 505 1.2× 318 1.4× 40 1.6k
Hanno Scharr Germany 25 2.1k 3.2× 410 0.8× 66 0.1× 870 2.1× 74 0.3× 87 2.9k
Hervé Goëau France 12 630 1.0× 61 0.1× 277 0.6× 282 0.7× 176 0.8× 44 1.0k
Marco Seeland Germany 14 227 0.3× 73 0.1× 164 0.4× 139 0.3× 115 0.5× 30 856
Grant Van Horn United States 11 94 0.1× 855 1.6× 249 0.5× 284 0.7× 84 0.4× 17 1.8k
Benjamin Kellenberger Switzerland 13 102 0.2× 395 0.8× 202 0.4× 443 1.1× 59 0.3× 27 1.2k
Michael Rzanny Germany 17 335 0.5× 40 0.1× 267 0.6× 283 0.7× 282 1.2× 32 928
Chengjun Xie China 24 1.6k 2.4× 430 0.8× 76 0.2× 242 0.6× 55 0.2× 86 2.3k

Countries citing papers authored by Alexis Joly

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Joly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Joly

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Joly. A scholar is included among the top collaborators of Alexis Joly 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 Alexis Joly. Alexis Joly 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.
Joly, Alexis, et al.. (2025). From Presence‐Only to Abundance Species Distribution Models Using Transfer Learning. Ecology Letters. 28(7). e70177–e70177.
2.
Marcos, Diego, Ioannis N. Athanasiadis, Pierre Bonnet, et al.. (2025). Fully automatic extraction of morphological traits from the web: Utopia or reality?. Applications in Plant Sciences. 13(3). e70005–e70005. 4 indexed citations
3.
Bonnet, Pierre, et al.. (2025). Using reflectance spectra and Pl@ntNet to identify herbarium specimens: a case study with Lithocarpus. New Phytologist. 1 indexed citations
4.
Bonnet, Pierre, et al.. (2024). Detecting flowers on imagery with computer vision to improve continental scale grassland biodiversity surveying. SHILAP Revista de lepidopterología. 5(2). 2 indexed citations
5.
Porcher, Emmanuelle, Pierre Bonnet, Christian Damgaard, et al.. (2024). Can we harmonize the monitoring of plants and pollinators?. New Phytologist. 244(1). 39–42. 1 indexed citations
6.
Elliott, Bruce S., et al.. (2023). GEOAI FOR MARINE ECOSYSTEM MONITORING: A COMPLETE WORKFLOW TO GENERATE MAPS FROM AI MODEL PREDICTIONS. SHILAP Revista de lepidopterología. XLVIII-4/W7-2023. 223–230. 2 indexed citations
7.
Høye, Toke T., Tom August, Mario V. Balzan, et al.. (2023). Modern Approaches to the Monitoring of Biоdiversity (MAMBO). SHILAP Revista de lepidopterología. 9. 5 indexed citations
9.
Woods, Sasha, Μαρία Δασκολιά, Alexis Joly, et al.. (2022). How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators. Sustainability. 14(7). 4078–4078. 12 indexed citations
10.
Botella, Christophe, Alexis Joly, Pierre Bonnet, François Munoz, & Pascal Monestiez. (2021). Jointly estimating spatial sampling effort and habitat suitability for multiple species from opportunistic presence‐only data. Methods in Ecology and Evolution. 12(5). 933–945. 8 indexed citations
12.
Servajean, Maximilien, et al.. (2021). Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Computational Biology. 17(4). e1008856–e1008856. 54 indexed citations
13.
Kahl, Stefan, Tom Denton, Holger Klinck, et al.. (2021). Overview of BirdCLEF 2021: Bird call identification in soundscape recordings.. Agritrop (Cirad). 1437–1450. 10 indexed citations
14.
Champ, Julien, et al.. (2020). Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots. Applications in Plant Sciences. 8(7). e11373–e11373. 90 indexed citations
15.
Botella, Christophe, Alexis Joly, Pascal Monestiez, Pierre Bonnet, & François Munoz. (2020). Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selection. PLoS ONE. 15(5). e0232078–e0232078. 36 indexed citations
16.
Goëau, Hervé, Julien Champ, Susan J. Mazer, et al.. (2020). A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction. Applications in Plant Sciences. 8(6). e11368–e11368. 29 indexed citations
17.
Goëau, Hervé, et al.. (2020). Domain Adaptation in the Context of Herbarium Collections: A submission to PlantCLEF 2020.. 1 indexed citations
18.
Goëau, Hervé, et al.. (2019). Accelerating the Automated Detection, Counting and Measurements of Reproductive Organs in Herbarium Collections in the Era of Deep Learning. Biodiversity Information Science and Standards. 3. 5 indexed citations
19.
Goëau, Hervé, Pierre Bonnet, Alexis Joly, et al.. (2012). The ImageCLEF 2012 Plant Identification Task.. HAL (Le Centre pour la Communication Scientifique Directe). 13 indexed citations
20.
Joly, Alexis, Julien Law-To, & Nozha Boujemaa. (2008). INRIA-IMEDIA TRECVID 2008: Video Copy Detection. TRECVID. 9 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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