Luc Champolivier

916 total citations
30 papers, 666 citations indexed

About

Luc Champolivier is a scholar working on Plant Science, Agronomy and Crop Science and Ecology. According to data from OpenAlex, Luc Champolivier has authored 30 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 10 papers in Agronomy and Crop Science and 5 papers in Ecology. Recurrent topics in Luc Champolivier's work include Soybean genetics and cultivation (11 papers), Crop Yield and Soil Fertility (9 papers) and Sunflower and Safflower Cultivation (9 papers). Luc Champolivier is often cited by papers focused on Soybean genetics and cultivation (11 papers), Crop Yield and Soil Fertility (9 papers) and Sunflower and Safflower Cultivation (9 papers). Luc Champolivier collaborates with scholars based in France, Morocco and Australia. Luc Champolivier's co-authors include André Merrien, Philippe Debaeke, Pierre Maury, Pierre Casadebaig, Éric Justes, Angélique Christophe, Jérémie Lecœur, Lydie Guilioni, Francis Flénet and Hugues Clivot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Soil Biology and Biochemistry and Frontiers in Plant Science.

In The Last Decade

Luc Champolivier

28 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luc Champolivier France 13 489 164 149 136 86 30 666
K. M. Volkmar Canada 15 630 1.3× 154 0.9× 210 1.4× 222 1.6× 53 0.6× 25 893
Chathurika Wijewardana United States 18 811 1.7× 133 0.8× 107 0.7× 81 0.6× 53 0.6× 25 908
Genei Antônio Dalmago Brazil 15 433 0.9× 183 1.1× 240 1.6× 80 0.6× 76 0.9× 67 637
M. Stapper Australia 14 632 1.3× 466 2.8× 216 1.4× 129 0.9× 40 0.5× 20 867
Gilles Tremblay Canada 15 306 0.6× 154 0.9× 332 2.2× 44 0.3× 71 0.8× 31 617
Seth L. Naeve United States 26 1.6k 3.3× 554 3.4× 260 1.7× 167 1.2× 98 1.1× 74 1.8k
Xue Han China 16 641 1.3× 77 0.5× 79 0.5× 77 0.6× 30 0.3× 39 739
Ruiqi Li China 13 394 0.8× 119 0.7× 122 0.8× 57 0.4× 37 0.4× 34 516
Johannes Ravn Jørgensen Denmark 18 455 0.9× 134 0.8× 173 1.2× 39 0.3× 221 2.6× 38 835
Luis Orcaray Spain 14 629 1.3× 32 0.2× 94 0.6× 146 1.1× 61 0.7× 20 768

Countries citing papers authored by Luc Champolivier

Since Specialization
Citations

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

Fields of papers citing papers by Luc Champolivier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Champolivier

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Champolivier. A scholar is included among the top collaborators of Luc Champolivier 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 Luc Champolivier. Luc Champolivier 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.
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Debaeke, Philippe, et al.. (2022). Forecasting sunflower grain yield using remote sensing data and statistical models. European Journal of Agronomy. 142. 126677–126677. 16 indexed citations
3.
Schoving, Céline, et al.. (2021). Combining multi-environmental trials and crop simulation to understand soybean response to early sowings under contrasting water conditions. European Journal of Agronomy. 133. 126439–126439. 10 indexed citations
4.
Dejoux, Jean-François, Rémy Fieuzal, Anne Jacquin, et al.. (2021). Evaluation of Multiorbital SAR and Multisensor Optical Data for Empirical Estimation of Rapeseed Biophysical Parameters. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 14. 7268–7283. 15 indexed citations
5.
Lamichhane, Jay Ram, Jean‐Noël Aubertot, Luc Champolivier, Philippe Debaeke, & Pierre Maury. (2020). Combining Experimental and Modeling Approaches to Understand Genotype x Sowing Date x Environment Interaction Effects on Emergence Rates and Grain Yield of Soybean. Frontiers in Plant Science. 11. 558855–558855. 12 indexed citations
6.
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Debaeke, Philippe, Emmanuelle Bret-Mestries, Jean‐Noël Aubertot, et al.. (2020). Sunflower agronomy: 10 years of research in partnership within the “Sunflower” Technological Joint Unit (UMT) in Toulouse. OCL. 27. 14–14. 4 indexed citations
8.
Clivot, Hugues, Bruno Mary, Jean‐Pierre Cohan, et al.. (2017). Quantifying in situ and modeling net nitrogen mineralization from soil organic matter in arable cropping systems. Soil Biology and Biochemistry. 111. 44–59. 73 indexed citations
9.
Champolivier, Luc, et al.. (2016). Source and sink indicators for determining nitrogen, plant density and genotype effects on oil and protein contents in sunflower achenes. Field Crops Research. 192. 33–41. 16 indexed citations
10.
Champolivier, Luc, et al.. (2016). Réglette azote colza: adaptation pour la Suisse d'un outil d'aide à la fertilisation azotée du colza. Agrarforschung Schweiz. 7(9). 378–383. 1 indexed citations
11.
Debaeke, Philippe, et al.. (2016). Analysis and modelling of the factors controlling seed oil concentration in sunflower: a review. OCL. 23(2). D206–D206. 20 indexed citations
12.
Champolivier, Luc, et al.. (2016). Analysis of source and sink dynamics involved in oil and protein accumulation in sunflower achenes using a bi-linear model. Field Crops Research. 201. 200–209. 2 indexed citations
13.
Maury, Pierre, Monique Berger, Luc Champolivier, et al.. (2015). Le semis très précoce : une stratégie agronomique pour améliorer les performances du soja en France ?. OCL. 22(5). D503–D503. 9 indexed citations
14.
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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.
Champolivier, Luc, et al.. (2012). Compte rendu de la 18eConférence Internationale sur le Tournesol : Mar del Plata & Balcarce (Argentine), 2012. SHILAP Revista de lepidopterología. 19(6). 379–392.
17.
Casadebaig, Pierre, Lydie Guilioni, Jérémie Lecœur, et al.. (2010). SUNFLO, a model to simulate genotype-specific performance of the sunflower crop in contrasting environments. Agricultural and Forest Meteorology. 151(2). 163–178. 66 indexed citations
18.
Jeuffroy, Marie‐Hélène, Muriel Valantin‐Morison, Luc Champolivier, & Raymond Réau. (2006). Azote, rendement et qualité des graines : mise au point et utilisation du modèle Azodyn-colza pour améliorer les performances du colza vis-à-vis de l’azote. SHILAP Revista de lepidopterología. 13(6). 388–392. 7 indexed citations
19.
20.
Champolivier, Luc & André Merrien. (1996). Effects of water stress applied at different growth stages to Brassica napus L. var. oleifera on yield, yield components and seed quality. European Journal of Agronomy. 5(3-4). 153–160. 157 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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