Rémi Servien

31 papers receiving 422 citations

Peers

Rémi Servien
Comparison fields: 5 of 97
  • Pollution 66
  • Health, Toxicology and Mutagenesis 49
  • Spectroscopy 55
  • Complementary and alternative medicine 26
  • Molecular Biology 199
Replace Martin Gütlein with:
Martin Gütlein Germany
Cosimo Toma Italy
Catherine Mahony United Kingdom
Karoline Scholz Germany
Ralf J. M. Weber United Kingdom
Masatoshi Watai Japan
Inthirany Thillainadarajah United States
L. Valverde-Som Spain
Alban Lepailleur France
Alberto Gil-de-la-Fuente Spain
Rémi Servien relative to Martin Gütlein Germany Martin Gütlein's profile →
Citations per field
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Citations per year

Countries citing papers authored by Rémi Servien

Since Specialization
Citations

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

Fields of papers citing papers by Rémi Servien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rémi Servien, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rémi Servien Line = papers co-authored together Rémi Servien links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201755
3 201952
4 201546
5 201419
6 202118
7 201717
8 201217
9 202016
10 201712
11 201611
12 202111
13 202111
14 20127
15 20226
16 20234
17 20133
18 20233
19 20213
20 20203

About Rémi Servien

Rémi Servien is a scholar working on Molecular Biology, Statistics and Probability, Artificial Intelligence, Pollution and Biomedical Engineering, having authored 34 papers that have together received 426 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Statistical Methods and Inference (8 papers), Bayesian Methods and Mixture Models (6 papers), Advanced Chemical Sensor Technologies (5 papers), Pesticide and Herbicide Environmental Studies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Computational Drug Discovery Methods (3 papers) and Pesticide Residue Analysis and Safety (3 papers). The work is most often cited by research in Pollution (66 citations), Health, Toxicology and Mutagenesis (49 citations), Spectroscopy (55 citations), Complementary and alternative medicine (26 citations) and Molecular Biology (199 citations). Rémi Servien has collaborated with scholars based in France, Australia and Greece. Frequent co-authors include Cécile Canlet, Gaëlle Lefort, Marie Tremblay‐Franco, Pierre Benoît, Laure Mamy, Didier Concordet, Nathalie Vialaneix, Laurence Liaubet, Arnaud Hélias and Éric Latrille. Their work appears in journals such as Scientific Reports, The Science of The Total Environment, The International Journal of Biochemistry & Cell Biology, Bioinformatics and Environmental Pollution.

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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