Matthieu Roy-Barman

31 total papers · 764 total citations
17 papers, 658 citations indexed

About

Matthieu Roy-Barman is a scholar working on Pollution, Geochemistry and Petrology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Matthieu Roy-Barman has authored 17 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pollution, 7 papers in Geochemistry and Petrology and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Matthieu Roy-Barman's work include Heavy metals in environment (7 papers), Geochemistry and Elemental Analysis (6 papers) and Mercury impact and mitigation studies (4 papers). Matthieu Roy-Barman is often cited by papers focused on Heavy metals in environment (7 papers), Geochemistry and Elemental Analysis (6 papers) and Mercury impact and mitigation studies (4 papers). Matthieu Roy-Barman collaborates with scholars based in France, Spain and United States. Matthieu Roy-Barman's co-authors include Claude J. Allègre, Marc Chaussidon, G. J. Wasserburg, D. A. Papanastassiou, Sophie Ayrault, J. M. Luck, Louise Bordier, Edwige Pons‐Branchu, Philippe Bonté and Emmanuel Dumont and has published in prestigious journals such as Geochimica et Cosmochimica Acta, The Science of The Total Environment and Earth and Planetary Science Letters.

In The Last Decade

Matthieu Roy-Barman

17 papers receiving 643 citations

Author Peers

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

Author Last Decade Papers Cites
Matthieu Roy-Barman 371 144 128 93 78 17 658
Tim S. Brewer 358 1.0× 98 0.7× 147 1.1× 161 1.7× 85 1.1× 19 681
Wayne U. Ault 360 1.0× 90 0.6× 237 1.9× 101 1.1× 105 1.3× 12 683
G. D. Nicholls 275 0.7× 213 1.5× 107 0.8× 170 1.8× 94 1.2× 26 680
Itsuro Kita 327 0.9× 144 1.0× 173 1.4× 109 1.2× 47 0.6× 31 735
M.P. Modisi 400 1.1× 109 0.8× 150 1.2× 137 1.5× 98 1.3× 16 719
Claude-Jean Allègre 327 0.9× 217 1.5× 135 1.1× 156 1.7× 145 1.9× 8 755
T. Urabe 380 1.0× 128 0.9× 129 1.0× 79 0.8× 45 0.6× 25 698
M. Saitta 356 1.0× 165 1.1× 148 1.2× 120 1.3× 56 0.7× 12 685
A.M. Fouillac 338 0.9× 128 0.9× 80 0.6× 149 1.6× 47 0.6× 19 576
Daniel Grimaud 173 0.5× 287 2.0× 150 1.2× 62 0.7× 45 0.6× 17 561

Countries citing papers authored by Matthieu Roy-Barman

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Roy-Barman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthieu Roy-Barman. 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 Matthieu Roy-Barman. The network helps show where Matthieu Roy-Barman may publish in the future.

Co-authorship network of co-authors of Matthieu Roy-Barman

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Roy-Barman. A scholar is included among the top collaborators of Matthieu Roy-Barman 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 Matthieu Roy-Barman. Matthieu Roy-Barman 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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