Marie Launay

3.4k total citations
53 papers, 1.7k citations indexed

About

Marie Launay is a scholar working on Plant Science, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Marie Launay has authored 53 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Plant Science, 15 papers in Agronomy and Crop Science and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Marie Launay's work include Climate change impacts on agriculture (12 papers), Agronomic Practices and Intercropping Systems (11 papers) and Wheat and Barley Genetics and Pathology (7 papers). Marie Launay is often cited by papers focused on Climate change impacts on agriculture (12 papers), Agronomic Practices and Intercropping Systems (11 papers) and Wheat and Barley Genetics and Pathology (7 papers). Marie Launay collaborates with scholars based in France, Denmark and Germany. Marie Launay's co-authors include Martine Guérif, Nadine Brisson, Iñaki García de Cortázar Atauri, Guénaëlle Corre‐Hellou, Yves Crozat, Éric Justes, Bruno Mary, Samuel Buis, Dominique Ripoche and Julie Constantin and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Global Change Biology.

In The Last Decade

Marie Launay

51 papers receiving 1.6k citations

Peers

Marie Launay
Edmar Teixeira New Zealand
Stefan Hauser Nigeria
Daniel Plénet France
Brian K. Northup United States
Françoise Ruget France
Damien Beillouin France
Hamish Brown New Zealand
Florent Maraux France
J. R. Kiniry United States
Armen R. Kemanian United States
Edmar Teixeira New Zealand
Marie Launay
Citations per year, relative to Marie Launay Marie Launay (= 1×) peers Edmar Teixeira

Countries citing papers authored by Marie Launay

Since Specialization
Citations

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

Fields of papers citing papers by Marie Launay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Launay

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Launay. A scholar is included among the top collaborators of Marie Launay 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 Marie Launay. Marie Launay 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.
Chenu, Karine, et al.. (2025). Plant plasticity in the face of climate change – CO2 offsetting effects to warming and water deficit in wheat. A review. Environmental and Experimental Botany. 232. 106113–106113. 1 indexed citations
2.
Buis, Samuel, et al.. (2025). Selecting crop variables and parameters for the calibration of a new cultivar in a crop model: A case study of winter wheat for STICS. European Journal of Agronomy. 168. 127677–127677. 2 indexed citations
3.
4.
Delmas, Chloé E. L., Marie‐Odile Bancal, Christel Leyronas, et al.. (2024). Monitoring the phenology of plant pathogenic fungi: why and how?. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 99(3). 1075–1084. 4 indexed citations
5.
Wallach, Daniel, Samuel Buis, Taru Palosuo, et al.. (2024). A calibration protocol for soil-crop models. Environmental Modelling & Software. 180. 106147–106147. 12 indexed citations
6.
Vercambre, Gilles, José Manuel Mirás‐Avalos, Daniel Plénet, et al.. (2024). Analyzing the impacts of climate change on ecosystem services provided by apple orchards in Southeast France using a process-based model. Journal of Environmental Management. 370. 122470–122470. 5 indexed citations
7.
Münz, Sebastian, Noémie Gaudio, Marie Launay, et al.. (2023). Modeling soil-plant functioning of intercrops using comprehensive and generic formalisms implemented in the STICS model. Agronomy for Sustainable Development. 43(5). 8 indexed citations
8.
Beaudoin, Nicolas, Patrice Lecharpentier, Dominique Ripoche, et al.. (2023). Stics Soil Crop Model. Conceptual Framework, Equations and Uses. SPIRE - Sciences Po Institutional REpository. 7 indexed citations
9.
Kieling, Amanda Gonçalves, et al.. (2023). Comparison of 17β-estradiol, bisphenol-A and caffeine concentration levels before and after the water treatment plant. Journal of Water and Health. 21(11). 1716–1726. 1 indexed citations
10.
Vallavieille-Pope, Claude de, Bochra A. Bahri, Marc Leconte, et al.. (2018). Thermal generalist behaviour of invasive Puccinia striiformis f. sp. tritici strains under current and future climate conditions. Plant Pathology. 67(6). 1307–1320. 38 indexed citations
11.
Atauri, Iñaki García de Cortázar, et al.. (2017). Assessing future meteorological stresses for grain maize in France. Agricultural Systems. 159. 237–247. 19 indexed citations
12.
Habets, Florence, et al.. (2015). Pesticide fate modeling in soils with the crop model STICS: Feasibility for assessment of agricultural practices. The Science of The Total Environment. 542(Pt A). 787–802. 33 indexed citations
13.
Wallach, Daniel, Samuel Buis, Patrice Lecharpentier, et al.. (2010). A package of parameter estimation methods and implementation for the STICS crop-soil model. Environmental Modelling & Software. 26(4). 386–394. 52 indexed citations
14.
Launay, Marie, Anne-Laurence Le Faou, Christine Sévilla-Dedieu, et al.. (2009). Prevalence of tobacco smoking in teachers following anti-smoking policies: results from two French surveys (1999 and 2005). European Journal of Public Health. 20(2). 151–156. 6 indexed citations
15.
Launay, Marie, Anne‐Isabelle Graux, Nadine Brisson, & Martine Guérif. (2009). Carbohydrate remobilization from storage root to leaves after a stress release in sugar beet (Beta vulgaris L.): experimental and modelling approaches. The Journal of Agricultural Science. 147(6). 669–682. 13 indexed citations
16.
Launay, Marie, Nadine Brisson, Henrik Hauggaard‐Nielsen, et al.. (2009). Exploring options for managing strategies for pea–barley intercropping using a modeling approach. European Journal of Agronomy. 31(2). 85–98. 59 indexed citations
17.
Jégo, Guillaume, Miren Martínez‐Santos, Iñaki Antigüedad, et al.. (2008). Evaluation of the impact of various agricultural practices on nitrate leaching under the root zone of potato and sugar beet using the STICS soil–crop model. The Science of The Total Environment. 394(2-3). 207–221. 64 indexed citations
18.
Beaudoin, Nicolas, et al.. (2008). Evaluation of the soil crop model STICS over 8 years against the “on farm” database of Bruyères catchment. European Journal of Agronomy. 29(1). 46–57. 79 indexed citations
19.
Gooding, M. J., R. Ruske, Henrik Hauggaard‐Nielsen, et al.. (2007). Intercropping with pulses to concentrate nitrogen and sulphur in wheat. The Journal of Agricultural Science. 145(5). 469–479. 65 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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