Jean-Marie Machet

51 total papers · 2.4k total citations
22 papers, 1.8k citations indexed

About

Jean-Marie Machet is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Jean-Marie Machet has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 9 papers in Agronomy and Crop Science and 7 papers in Soil Science. Recurrent topics in Jean-Marie Machet's work include Plant nutrient uptake and metabolism (11 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Crop Yield and Soil Fertility (5 papers). Jean-Marie Machet is often cited by papers focused on Plant nutrient uptake and metabolism (11 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Crop Yield and Soil Fertility (5 papers). Jean-Marie Machet collaborates with scholars based in France, Belgium and Canada. Jean-Marie Machet's co-authors include Sylvie Recous, Bruno Mary, Nicolas Beaudoin, Carolyne Dürr, Guy Richard, Stéphane Cadoux, A. B. Riche, Nicola Yates, Philippe Gate and Dominique Ripoche and has published in prestigious journals such as The Science of The Total Environment, Journal of Experimental Botany and Plant and Soil.

In The Last Decade

Jean-Marie Machet

22 papers receiving 1.8k citations

Hit Papers

STICS: a generic model fo... 1998 2026 2007 2016 1998 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean-Marie Machet 880 777 716 350 305 22 1.8k
Gottlieb Basch 646 0.7× 857 1.1× 722 1.0× 208 0.6× 444 1.5× 56 1.8k
Bill Deen 569 0.6× 785 1.0× 1.2k 1.7× 334 1.0× 278 0.9× 65 2.1k
Liang Wu 779 0.9× 503 0.6× 804 1.1× 272 0.8× 127 0.4× 44 1.9k
Tinglu Fan 824 0.9× 431 0.6× 1.4k 1.9× 323 0.9× 90 0.3× 33 2.1k
Sharon L. Weyers 465 0.5× 414 0.5× 778 1.1× 276 0.8× 145 0.5× 45 1.8k
M. J. Glendining 531 0.6× 663 0.9× 1.2k 1.7× 518 1.5× 219 0.7× 55 2.2k
Stephen Machado 802 0.9× 461 0.6× 799 1.1× 219 0.6× 91 0.3× 52 1.7k
P. E. Fixen 722 0.8× 417 0.5× 996 1.4× 553 1.6× 143 0.5× 43 2.1k
L. Townley‐Smith 463 0.5× 426 0.5× 933 1.3× 411 1.2× 164 0.5× 43 1.7k
Stephan Albrecht 963 1.1× 390 0.5× 829 1.2× 274 0.8× 123 0.4× 57 1.8k

Countries citing papers authored by Jean-Marie Machet

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Marie Machet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean-Marie Machet

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

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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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