Didier Pellet

1.6k total citations
29 papers, 1.2k citations indexed

About

Didier Pellet is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Didier Pellet has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 9 papers in Agronomy and Crop Science and 6 papers in Soil Science. Recurrent topics in Didier Pellet's work include Crop Yield and Soil Fertility (7 papers), Wheat and Barley Genetics and Pathology (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Didier Pellet is often cited by papers focused on Crop Yield and Soil Fertility (7 papers), Wheat and Barley Genetics and Pathology (5 papers) and Soil Carbon and Nitrogen Dynamics (5 papers). Didier Pellet collaborates with scholars based in Switzerland, United States and Colombia. Didier Pellet's co-authors include Leon V. Kochian, David L. Grunes, Mabrouk A. El‐Sharkawy, Raphaël Charles, Gérard Gaillard, Olivier Jolliet, Alice Baux, Juan M. Herrera, Lilia Levy Häner and M. A. El‐Sharkawy and has published in prestigious journals such as PLANT PHYSIOLOGY, Plant and Soil and Frontiers in Plant Science.

In The Last Decade

Didier Pellet

28 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Didier Pellet Switzerland 14 958 186 147 145 131 29 1.2k
R. F. Brennan Australia 18 587 0.6× 63 0.3× 31 0.2× 174 1.2× 408 3.1× 50 902
T. J. Hocking United Kingdom 17 563 0.6× 48 0.3× 61 0.4× 135 0.9× 201 1.5× 44 1.1k
Maria Laura Traversi Italy 22 723 0.8× 59 0.3× 53 0.4× 46 0.3× 93 0.7× 52 1.1k
Majid AghaAlikhani Iran 20 727 0.8× 17 0.1× 103 0.7× 202 1.4× 240 1.8× 73 1.1k
Atif A. Bamagoos Saudi Arabia 20 873 0.9× 37 0.2× 47 0.3× 112 0.8× 188 1.4× 50 1.3k
Geno A. Picchioni United States 19 835 0.9× 37 0.2× 67 0.5× 37 0.3× 187 1.4× 64 1.1k
Tadao Wagatsuma Japan 25 1.4k 1.5× 282 1.5× 39 0.3× 39 0.3× 120 0.9× 50 1.5k
Zhanling Zhu China 19 871 0.9× 22 0.1× 114 0.8× 84 0.6× 263 2.0× 38 1.2k
Lúcia Helena Garófalo Chaves Brazil 14 492 0.5× 64 0.3× 31 0.2× 56 0.4× 339 2.6× 180 872
Jiameng Guo China 21 526 0.5× 42 0.2× 52 0.4× 156 1.1× 196 1.5× 45 971

Countries citing papers authored by Didier Pellet

Since Specialization
Citations

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

Fields of papers citing papers by Didier Pellet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Didier Pellet

This figure shows the co-authorship network connecting the top 25 collaborators of Didier Pellet. A scholar is included among the top collaborators of Didier Pellet 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 Didier Pellet. Didier Pellet 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.
Stefan, Laura, et al.. (2023). Asynchrony is more important than genetic distance in driving yield stability in wheat variety mixtures. Crop Science. 64(1). 455–469. 6 indexed citations
2.
Schumpp, Olivier, Justine Brodard, Brice Dupuis, et al.. (2021). Large-Scale RT-qPCR Diagnostics for Seed Potato Certification. Potato Research. 64(4). 553–569. 10 indexed citations
3.
Herrera, Juan M., Lilia Levy Häner, Fabio Mascher, et al.. (2020). Lessons From 20 Years of Studies of Wheat Genotypes in Multiple Environments and Under Contrasting Production Systems. Frontiers in Plant Science. 10. 1745–1745. 28 indexed citations
4.
Herrera, Juan M., Christos Noulas, P. Stamp, et al.. (2020). Nitrogen Rate Increase Not Required for No-Till Wheat in Cool and Humid Conditions. Agronomy. 10(3). 430–430. 2 indexed citations
5.
Herrera, Juan M., Lilia Levy Häner, Annelie Holzkämper, & Didier Pellet. (2018). Evaluation of ridge regression for country-wide prediction of genotype-specific grain yields of wheat. Agricultural and Forest Meteorology. 252. 1–9. 11 indexed citations
6.
Schumpp, Olivier, et al.. (2016). Diagnostic moléculaire à haut débit pour détecter les viroses des plants de pomme de terre. Agrarforschung Schweiz. 7(10). 456–465. 1 indexed citations
7.
Herrera, Juan M., Lucie Büchi, Gerardo Rubio, et al.. (2016). Root decomposition at high and low N supply throughout a crop rotation. European Journal of Agronomy. 84. 105–112. 6 indexed citations
8.
Herrera, Juan M., Christos Noulas, P. Stamp, & Didier Pellet. (2016). Little Potential of Spring Wheat Genotypes as a Strategy to Reduce Nitrogen Leaching in Central Europe. Agronomy. 6(2). 29–29. 10 indexed citations
9.
Maltas, Alexandra, Raphaël Charles, Didier Pellet, et al.. (2015). Evaluation de deux méthodes pour optimiser la fertilisation azotée des grandes cultures. Agrarforschung Schweiz. 6(3). 84–93. 1 indexed citations
10.
Häner, Lilia Levy, P. Stamp, Michael Kreuzer, Juan M. Herrera, & Didier Pellet. (2015). Environmental Effects on the Expression of Genotypic Differences in Wheat Grain Viscosity. Crop Science. 55(3). 1311–1319. 2 indexed citations
11.
Pellet, Didier, et al.. (2015). Charançon de la tige du colza: effet sur le rendement et seuil d’intervention. Agrarforschung Schweiz. 6(7). 328–335. 1 indexed citations
12.
Pellet, Didier, et al.. (2013). Le colza HOLL en Suisse: de la production pilote à la production à grande échelle. Agrarforschung Schweiz. 4(7). 344–347.
13.
Baux, Alice, et al.. (2013). Insights into temperature effects on the fatty acid composition of oilseed rape varieties. European Journal of Agronomy. 49. 12–19. 29 indexed citations
14.
Häner, Lilia Levy, et al.. (2013). Experimental determination of genetic and environmental influences on the viscosity of triticale. Cereal Research Communications. 41(4). 613–625. 3 indexed citations
15.
Häner, Lilia Levy, et al.. (2013). Viscosity of triticale varieties differs in its response to temperature after flowering. Field Crops Research. 149. 347–353. 4 indexed citations
16.
Baux, Alice, Thomas Hebeisen, & Didier Pellet. (2008). Effects of minimal temperatures on low-linolenic rapeseed oil fatty-acid composition. European Journal of Agronomy. 29(2-3). 102–107. 55 indexed citations
17.
Charles, Raphaël, Olivier Jolliet, Gérard Gaillard, & Didier Pellet. (2005). Environmental analysis of intensity level in wheat crop production using life cycle assessment. Agriculture Ecosystems & Environment. 113(1-4). 216–225. 149 indexed citations
18.
Pellet, Didier & M. A. El‐Sharkawy. (1997). CASSAVA VARIETAL RESPONSE TO FERTILIZATION: GROWTH DYNAMICS AND IMPLICATIONS FOR CROPPING SUSTAINABILITY. Experimental Agriculture. 33(3). 353–365. 46 indexed citations
19.
20.
Pellet, Didier, et al.. (1996). Multiple Aluminum-Resistance Mechanisms in Wheat (Roles of Root Apical Phosphate and Malate Exudation). PLANT PHYSIOLOGY. 112(2). 591–597. 153 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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