Matthieu Gervais

55 total papers · 648 total citations
34 papers, 530 citations indexed

About

Matthieu Gervais is a scholar working on Polymers and Plastics, Electrical and Electronic Engineering and Organic Chemistry. According to data from OpenAlex, Matthieu Gervais has authored 34 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Polymers and Plastics, 9 papers in Electrical and Electronic Engineering and 8 papers in Organic Chemistry. Recurrent topics in Matthieu Gervais's work include Conducting polymers and applications (9 papers), biodegradable polymer synthesis and properties (7 papers) and Carbon dioxide utilization in catalysis (5 papers). Matthieu Gervais is often cited by papers focused on Conducting polymers and applications (9 papers), biodegradable polymer synthesis and properties (7 papers) and Carbon dioxide utilization in catalysis (5 papers). Matthieu Gervais collaborates with scholars based in France, United States and India. Matthieu Gervais's co-authors include Stéphane Carlotti, Alain Deffieux, Anne‐Laure Brocas, Samy Rémita, Cyrille Sollogoub, Alexandre Dazzi, Thanh‐Tuân Bui, Alain Guinault, Fabrice Goubard and Ariane Deniset‐Besseau and has published in prestigious journals such as Macromolecules, Langmuir and ACS Applied Materials & Interfaces.

In The Last Decade

Matthieu Gervais

31 papers receiving 527 citations

Author Peers

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

Author						Papers	Cites
Matthieu Gervais	223	199	160	101	86	34	530
Paulina Maksym	169 0.8×	238 1.2×	113 0.7×	147 1.5×	52 0.6×	42	525
Cécile Bouilhac	150 0.7×	336 1.7×	135 0.8×	136 1.3×	81 0.9×	32	547
Constantinos D. Diakoumakos	236 1.1×	124 0.6×	87 0.5×	106 1.0×	92 1.1×	33	456
Hiromichi Noguchi	126 0.6×	170 0.9×	195 1.2×	109 1.1×	64 0.7×	40	501
Amaia Iturrospe	234 1.0×	132 0.7×	201 1.3×	213 2.1×	44 0.5×	36	603
Tobias Johann	178 0.8×	364 1.8×	183 1.1×	143 1.4×	56 0.7×	22	548
Mariusz Tryznowski	196 0.9×	190 1.0×	194 1.2×	47 0.5×	180 2.1×	26	472
Prantik Mondal	336 1.5×	237 1.2×	122 0.8×	167 1.7×	46 0.5×	26	525
Jae Min Oh	184 0.8×	117 0.6×	82 0.5×	126 1.2×	29 0.3×	37	519
Weichao Shi	299 1.3×	121 0.6×	147 0.9×	196 1.9×	25 0.3×	31	587

Countries citing papers authored by Matthieu Gervais

Since Specialization

Citations

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

Fields of papers citing papers by Matthieu Gervais

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Gervais

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