Michaël Chelle

3.0k total citations · 1 hit paper
43 papers, 1.9k citations indexed

About

Michaël Chelle is a scholar working on Plant Science, Ecology and Global and Planetary Change. According to data from OpenAlex, Michaël Chelle has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Plant Science, 13 papers in Ecology and 13 papers in Global and Planetary Change. Recurrent topics in Michaël Chelle's work include Greenhouse Technology and Climate Control (22 papers), Leaf Properties and Growth Measurement (14 papers) and Remote Sensing in Agriculture (13 papers). Michaël Chelle is often cited by papers focused on Greenhouse Technology and Climate Control (22 papers), Leaf Properties and Growth Measurement (14 papers) and Remote Sensing in Agriculture (13 papers). Michaël Chelle collaborates with scholars based in France, Morocco and Netherlands. Michaël Chelle's co-authors include Bruno Andrieu, J. Vos, Jochem B. Evers, P.H.B. de Visser, Gerhard Buck-Sorlin, Christian Fournier, G.Á. Maddonni, Frédéric Baret, Jean‐Louis Drouet and Jorge J. Casal and has published in prestigious journals such as PLANT PHYSIOLOGY, Remote Sensing of Environment and New Phytologist.

In The Last Decade

Michaël Chelle

42 papers receiving 1.8k citations

Hit Papers

Functional–structural plant modelling: a new versatile to... 2009 2026 2014 2020 2009 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaël Chelle France 22 1.6k 501 500 258 226 43 1.9k
Christian Fournier France 27 1.7k 1.1× 352 0.7× 342 0.7× 416 1.6× 110 0.5× 59 2.0k
Matthew M. Conley United States 15 970 0.6× 410 0.8× 417 0.8× 126 0.5× 123 0.5× 30 1.3k
Hervé Sinoquet France 23 1.0k 0.7× 542 1.1× 363 0.7× 129 0.5× 187 0.8× 33 1.5k
Gerhard Buck-Sorlin Germany 20 1.6k 1.0× 338 0.7× 183 0.4× 122 0.5× 69 0.3× 58 1.8k
Xavier Sirault Australia 22 1.7k 1.1× 319 0.6× 673 1.3× 233 0.9× 429 1.9× 38 2.2k
David J. Bonfil Israel 24 1.3k 0.8× 328 0.7× 955 1.9× 296 1.1× 340 1.5× 74 2.1k
Pedro Andrade-Sánchez United States 18 1.3k 0.8× 216 0.4× 557 1.1× 149 0.6× 235 1.0× 41 1.7k
Llorenç Cabrera‐Bosquet France 23 1.9k 1.2× 427 0.9× 560 1.1× 472 1.8× 139 0.6× 40 2.4k
Glen L. Ritchie United States 25 1.3k 0.8× 237 0.5× 249 0.5× 201 0.8× 170 0.8× 95 1.6k
Olga M. Grant United Kingdom 18 1.0k 0.6× 566 1.1× 318 0.6× 46 0.2× 132 0.6× 32 1.4k

Countries citing papers authored by Michaël Chelle

Since Specialization
Citations

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

Fields of papers citing papers by Michaël Chelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaël Chelle

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël Chelle. A scholar is included among the top collaborators of Michaël Chelle 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 Michaël Chelle. Michaël Chelle 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.
Webber, Heidi, et al.. (2024). MONTPEL: A multi-component Penman-Monteith energy balance model. Agricultural and Forest Meteorology. 358. 110221–110221. 2 indexed citations
2.
Chelle, Michaël, et al.. (2022). Daily fluctuations in leaf temperature modulate the development of a foliar pathogen. Agricultural and Forest Meteorology. 322. 109031–109031. 4 indexed citations
3.
4.
Fournier, Christian, Christophe Pradal, Michaël Chelle, et al.. (2019). HydroShoot: a functional-structural plant model for simulating hydraulic structure, gas and energy exchange dynamics of complex plant canopies under water deficit—application to grapevine ( Vitis vinifera ). LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 1(1). 23 indexed citations
6.
Brun, François, Céline Richard‐Molard, Loïc Pagès, Michaël Chelle, & Bertrand Ney. (2010). To what extent may changes in the root system architecture of Arabidopsis thaliana grown under contrasted homogenous nitrogen regimes be explained by changes in carbon supply? A modelling approach. Journal of Experimental Botany. 61(8). 2157–2169. 14 indexed citations
7.
Vos, J., Jochem B. Evers, Gerhard Buck-Sorlin, et al.. (2009). Functional–structural plant modelling: a new versatile tool in crop science. Journal of Experimental Botany. 61(8). 2101–2115. 407 indexed citations breakdown →
8.
Combes, Didier, et al.. (2009). Using a turbid medium approach to estimate light interception by individual plants. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(2). S223–S223. 1 indexed citations
9.
Vos, J., et al.. (2009). Functional–structural plant modelling: A new paradigm in crop science. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(2). S223–S223.
10.
Chelle, Michaël & Pierre Cellier. (2009). Horizontal variability in air temperature over time within a maize inter-row. Agricultural and Forest Meteorology. 149(8). 1294–1300. 5 indexed citations
11.
Evers, Jochem B., J. Vos, Bruno Andrieu, Michaël Chelle, & Gerhard Buck-Sorlin. (2008). Functional-structional plant modelling, applied to tillering in wheat. Italian Journal of Agronomy. 3(3). 739–740. 1 indexed citations
12.
Chelle, Michaël, Jochem B. Evers, Didier Combes, et al.. (2007). Simulation of the three‐dimensional distribution of the red:far‐red ratio within crop canopies. New Phytologist. 176(1). 223–234. 49 indexed citations
14.
Devienne-Barret, Florence, et al.. (2006). Ara-Rhizotron: An Effective Culture System to Study Simultaneously Root and Shoot Development of Arabidopsis. Plant and Soil. 280(1-2). 253–266. 30 indexed citations
15.
Chelle, Michaël. (2005). Phylloclimate or the climate perceived by individual plant organs: What is it? How to model it? What for?. New Phytologist. 166(3). 781–790. 130 indexed citations
16.
Evers, Jochem B., J. Vos, Christian Fournier, et al.. (2005). Towards a generic architectural model of tillering in Gramineae, as exemplified by spring wheat (Triticum aestivum). New Phytologist. 166(3). 801–812. 84 indexed citations
17.
Baret, Frédéric, et al.. (1999). Modeling maize canopy 3D architecture. Ecological Modelling. 122(1-2). 25–43. 63 indexed citations
18.
Baret, Frédéric, et al.. (1999). Radiative transfer sensitivity to the accuracy of canopy structure description. The case of a maize canopy. Agronomie. 19(3-4). 241–254. 18 indexed citations
19.
Chelle, Michaël & Bruno Andrieu. (1998). The nested radiosity model for the distribution of light within plant canopies. Ecological Modelling. 111(1). 75–91. 145 indexed citations
20.
Chelle, Michaël, Bruno Andrieu, & Kadi Bouatouch. (1998). Nested radiosity for plant canopies. The Visual Computer. 14(3). 109–125. 29 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026