Pierre Casadebaig

1.3k total citations
28 papers, 764 citations indexed

About

Pierre Casadebaig is a scholar working on Plant Science, Agronomy and Crop Science and Global and Planetary Change. According to data from OpenAlex, Pierre Casadebaig has authored 28 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 13 papers in Agronomy and Crop Science and 6 papers in Global and Planetary Change. Recurrent topics in Pierre Casadebaig's work include Sunflower and Safflower Cultivation (13 papers), Genetics and Plant Breeding (10 papers) and Crop Yield and Soil Fertility (10 papers). Pierre Casadebaig is often cited by papers focused on Sunflower and Safflower Cultivation (13 papers), Genetics and Plant Breeding (10 papers) and Crop Yield and Soil Fertility (10 papers). Pierre Casadebaig collaborates with scholars based in France, Morocco and Australia. Pierre Casadebaig's co-authors include Philippe Debaeke, Nicolas Langlade, Jérémie Lecœur, Francis Flénet, Luc Champolivier, Robert Faivre, Pierre Maury, Lydie Guilioni, Angélique Christophe and Scott Chapman and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Plant Cell & Environment.

In The Last Decade

Pierre Casadebaig

28 papers receiving 734 citations

Peers

Pierre Casadebaig

ACS

EEBS

GPC

Xiaoxia Ling China

Clara Gabaldón‐Leal Spain

Virender Singh Bhatia India

C. Mariano Cossani Australia

Hiroe Yoshida Japan

M. Laza Philippines

Raymond N. Mutava United States

K. G. Rickert Australia

M. S. Sheshshayee India

M. Oberforster Austria

Xiaoxia Ling China

Pierre Casadebaig

670 ×1.1

167 ×0.8

ACS

189 ×1.4

EEBS

75 ×0.6

GPC

129 ×1.8

Citations per year, relative to Pierre Casadebaig Pierre Casadebaig (= 1×) peers Xiaoxia Ling

Countries citing papers authored by Pierre Casadebaig

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Casadebaig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Casadebaig

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Casadebaig. A scholar is included among the top collaborators of Pierre Casadebaig 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 Pierre Casadebaig. Pierre Casadebaig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Casadebaig, Pierre, et al.. (2024). A workflow for processing global datasets: application to intercropping. SHILAP Revista de lepidopterología. 4. 1 indexed citations

Alletto, Lionel, et al.. (2024). Cover crop residues mitigate impacts of water deficit on sunflower during vegetative growth with varietal differences, but not during seed development. European Journal of Agronomy. 155. 127139–127139. 3 indexed citations

Casadebaig, Pierre, et al.. (2023). More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop. Theoretical and Applied Genetics. 136(3). 34–34. 11 indexed citations

Casadebaig, Pierre, Nadine Hilgert, Lionel Alletto, et al.. (2022). Species choice and N fertilization influence yield gains through complementarity and selection effects in cereal-legume intercrops. Agronomy for Sustainable Development. 42(2). 31 indexed citations

Debaeke, Philippe, Pierre Casadebaig, & Nicolas Langlade. (2021). New challenges for sunflower ideotyping in changing environments and more ecological cropping systems. OCL. 28. 29–29. 28 indexed citations

Casadebaig, Pierre, Philippe Debaeke, & Daniel Wallach. (2020). A new approach to crop model calibration: Phenotyping plus post‐processing. Crop Science. 60(2). 709–720. 13 indexed citations

Blanchet, Nicolas, Didier Varès, Philippe Burger, et al.. (2019). Heliaphen, an Outdoor High-Throughput Phenotyping Platform for Genetic Studies and Crop Modeling. Frontiers in Plant Science. 9. 1908–1908. 28 indexed citations

Blanchet, Nicolas, et al.. (2018). Data describing the eco-physiological responses of twenty-four sunflower genotypes to water deficit. Data in Brief. 21. 1296–1301. 13 indexed citations

Mangin, Brigitte, Pierre Casadebaig, Nicolas Blanchet, et al.. (2017). Genetic control of plasticity of oil yield for combined abiotic stresses using a joint approach of crop modelling and genome‐wide association. Plant Cell & Environment. 40(10). 2276–2291. 54 indexed citations

10.

Picheny, Victor, et al.. (2017). Optimization of black-box models with uncertain climatic inputs—Application to sunflower ideotype design. PLoS ONE. 12(5). e0176815–e0176815. 6 indexed citations

11.

Debaeke, Philippe, Pierre Casadebaig, Francis Flénet, & Nicolas Langlade. (2017). Sunflower crop and climate change: vulnerability, adaptation, and mitigation potential from case-studies in Europe. OCL. 24(1). D102–D102. 99 indexed citations

12.

Casadebaig, Pierre, et al.. (2016). A model-based approach to assist variety evaluation in sunflower crop. European Journal of Agronomy. 81. 92–105. 25 indexed citations

13.

Casadebaig, Pierre, Bangyou Zheng, Scott Chapman, et al.. (2016). Assessment of the Potential Impacts of Wheat Plant Traits across Environments by Combining Crop Modeling and Global Sensitivity Analysis. PLoS ONE. 11(1). e0146385–e0146385. 75 indexed citations

14.

Casadebaig, Pierre, et al.. (2015). Using Plant Phenotypic Plasticity to Improve Crop Performance and Stability Regarding Climatic Uncertainty: A Computational Study on Sunflower. Procedia Environmental Sciences. 29. 142–143. 3 indexed citations

15.

Casadebaig, Pierre, et al.. (2014). Prediction of sunflower grain oil concentration as a function of variety, crop management and environment using statistical models. European Journal of Agronomy. 54. 84–96. 37 indexed citations

16.

Marchand, Gwenaëlle, Baptiste Mayjonade, Didier Varès, et al.. (2013). A biomarker based on gene expression indicates plant water status in controlled and natural environments. Plant Cell & Environment. 36(12). 2175–2189. 21 indexed citations

17.

Casadebaig, Pierre, et al.. (2012). A Generic Model to Simulate Air-Borne Diseases as a Function of Crop Architecture. PLoS ONE. 7(11). e49406–e49406. 12 indexed citations

18.

Casadebaig, Pierre & Philippe Debaeke. (2011). Using a crop model to assess genetic-environment interactions in multi-environment trials.. Aspects of applied biology. 19–25. 2 indexed citations

19.

Debaeke, Philippe, et al.. (2010). Simulation de la réponse variétale du tournesol à l’environnement à l’aide du modèle SUNFLO. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations

20.

Casadebaig, Pierre, et al.. (2010). Simulation de la réponse variétale du tournesol à l’environnement à l’aide du modèle SUNFLO. SHILAP Revista de lepidopterología. 17(3). 143–151. 15 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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