Clément Chauvier

59 total papers · 648 total citations
24 papers, 518 citations indexed

About

Clément Chauvier is a scholar working on Organic Chemistry, Inorganic Chemistry and Process Chemistry and Technology. According to data from OpenAlex, Clément Chauvier has authored 24 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Organic Chemistry, 11 papers in Inorganic Chemistry and 7 papers in Process Chemistry and Technology. Recurrent topics in Clément Chauvier's work include Catalytic Cross-Coupling Reactions (12 papers), Organoboron and organosilicon chemistry (11 papers) and Asymmetric Hydrogenation and Catalysis (11 papers). Clément Chauvier is often cited by papers focused on Catalytic Cross-Coupling Reactions (12 papers), Organoboron and organosilicon chemistry (11 papers) and Asymmetric Hydrogenation and Catalysis (11 papers). Clément Chauvier collaborates with scholars based in France, Germany and Switzerland. Clément Chauvier's co-authors include Thibault Cantat, P. Thuéry, Matthew D. Wodrich, Durga Prasad Hari, Reto Frei, Jérôme Waser, Louis Fensterbank, Anis Tlili, Christophe Das Neves Gomes and Martin Oestreich and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Chemistry of Materials.

In The Last Decade

Clément Chauvier

24 papers receiving 516 citations

Author Peers

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

Author						Papers	Cites
Clément Chauvier	379	147	145	84	58	24	518
G. N. Bondarenko	326 0.9×	163 1.1×	243 1.7×	86 1.0×	43 0.7×	28	503
Ayaka Kikuchi	234 0.6×	193 1.3×	81 0.6×	128 1.5×	53 0.9×	24	459
Ali Aghmiz	326 0.9×	188 1.3×	228 1.6×	62 0.7×	39 0.7×	25	503
Magnus T. Johnson	401 1.1×	125 0.9×	242 1.7×	71 0.8×	41 0.7×	27	567
Maotong Xu	415 1.1×	231 1.6×	329 2.3×	76 0.9×	50 0.9×	22	573
Álvaro Gordillo	269 0.7×	161 1.1×	135 0.9×	120 1.4×	101 1.7×	21	529
Indrek Pernik	465 1.2×	109 0.7×	286 2.0×	45 0.5×	53 0.9×	23	589
Tsutomu Watahiki	352 0.9×	235 1.6×	159 1.1×	81 1.0×	81 1.4×	17	609
М. А. Москаленко	357 0.9×	95 0.6×	227 1.6×	40 0.5×	41 0.7×	30	468
P Sreejyothi	354 0.9×	114 0.8×	191 1.3×	69 0.8×	62 1.1×	17	475

Countries citing papers authored by Clément Chauvier

Since Specialization

Citations

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

Fields of papers citing papers by Clément Chauvier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clément Chauvier

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

All Works

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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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