Patrick Chabrier

1.0k total citations
8 papers, 635 citations indexed

About

Patrick Chabrier is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Soil Science. According to data from OpenAlex, Patrick Chabrier has authored 8 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Ecology, Evolution, Behavior and Systematics, 3 papers in Genetics and 3 papers in Soil Science. Recurrent topics in Patrick Chabrier's work include Climate change impacts on agriculture (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Soil Carbon and Nitrogen Dynamics (2 papers). Patrick Chabrier is often cited by papers focused on Climate change impacts on agriculture (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Soil Carbon and Nitrogen Dynamics (2 papers). Patrick Chabrier collaborates with scholars based in France, Morocco and India. Patrick Chabrier's co-authors include S. Gerber, Simon de Givry, Thomas Schiex, Antoine Kremer, David J. Milan, Jacques-Éric Bergez, Hélène Raynal, David Makowski, Marie-Hélène Jeuffroy and Philippe Debaeke and has published in prestigious journals such as Bioinformatics, Computers and Electronics in Agriculture and Environmental Modelling & Software.

In The Last Decade

Patrick Chabrier

8 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Chabrier France 6 348 290 130 121 84 8 635
К. В. Крутовский United States 11 285 0.8× 317 1.1× 251 1.9× 197 1.6× 87 1.0× 21 651
Marcela van Loo Austria 15 243 0.7× 359 1.2× 150 1.2× 263 2.2× 88 1.0× 24 715
Gancho T. Slavov United Kingdom 9 326 0.9× 336 1.2× 265 2.0× 68 0.6× 50 0.6× 12 680
Betty Pelgas Canada 10 246 0.7× 341 1.2× 242 1.9× 58 0.5× 49 0.6× 11 590
Jean‐Marc Bouvet France 13 198 0.6× 138 0.5× 129 1.0× 267 2.2× 48 0.6× 26 603
Zefu Wang China 13 230 0.7× 333 1.1× 347 2.7× 195 1.6× 75 0.9× 45 797
Dulcinéia de Carvalho Brazil 17 446 1.3× 295 1.0× 206 1.6× 278 2.3× 74 0.9× 78 819
Shingo Kaneko Japan 12 191 0.5× 268 0.9× 142 1.1× 206 1.7× 134 1.6× 89 589
Alejandra Vázquez‐Lobo Mexico 16 374 1.1× 228 0.8× 224 1.7× 221 1.8× 52 0.6× 32 660
Sabine Van Glabeke Belgium 11 349 1.0× 210 0.7× 138 1.1× 256 2.1× 59 0.7× 17 593

Countries citing papers authored by Patrick Chabrier

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Chabrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Chabrier

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

All Works

8 of 8 papers shown
1.
Thomas, Alban, M. Sekhar, Hélène Raynal, et al.. (2017). A dynamic model for water management at the farm level integrating strategic, tactical and operational decisions. Environmental Modelling & Software. 100. 123–135. 12 indexed citations
2.
Bergez, Jacques-Éric, et al.. (2016). A new plug-in under RECORD to link biophysical and decision models for crop management. Agronomy for Sustainable Development. 36(1). 3 indexed citations
3.
Chabrier, Patrick, Olivier Martin, Hélène Raynal, & Jacques-Éric Bergez. (2015). A new graphical modeling plugin based on Forrester diagrams for the RECORD platform. Computers and Electronics in Agriculture. 111. 103–106. 1 indexed citations
4.
Bergez, Jacques-Éric, Hélène Raynal, Marie Launay, et al.. (2014). Evolution of the STICS crop model to tackle new environmental issues: New formalisms and integration in the modelling and simulation platform RECORD. Environmental Modelling & Software. 62. 370–384. 28 indexed citations
5.
Bergez, Jacques-Éric, Patrick Chabrier, Christian Gary, et al.. (2012). An open platform to build, evaluate and simulate integrated models of farming and agro-ecosystems. Environmental Modelling & Software. 39. 39–49. 63 indexed citations
6.
Givry, Simon de, Patrick Chabrier, Thomas Derrien, et al.. (2007). A comparative genome approach to marker ordering. Bioinformatics. 23(2). e50–e56. 17 indexed citations
7.
Givry, Simon de, et al.. (2004). CARHTA GENE: multipopulation integrated genetic and radiation hybrid mapping. Computer applications in the biosciences. 21(8). 1703–1704. 315 indexed citations
8.
Gerber, S., Patrick Chabrier, & Antoine Kremer. (2003). famoz: a software for parentage analysis using dominant, codominant and uniparentally inherited markers. Molecular Ecology Notes. 3(3). 479–481. 196 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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