Jérémy Vrignon

8 total papers · 430 total citations
8 papers, 357 citations indexed

About

Jérémy Vrignon is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Jérémy Vrignon has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 2 papers in Molecular Biology. Recurrent topics in Jérémy Vrignon's work include Innovative Microfluidic and Catalytic Techniques Innovation (8 papers), Electrowetting and Microfluidic Technologies (6 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). Jérémy Vrignon is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (8 papers), Electrowetting and Microfluidic Technologies (6 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). Jérémy Vrignon collaborates with scholars based in France, Germany and South Korea. Jérémy Vrignon's co-authors include Jean‐Christophe Baret, Quentin Brosseau, Ouriel Caën, Valérie Taly, Jiseok Lim, Philippe Nizard, Manfred Konrad, Say Hwa Tan, Benoît Semin and Christos S. Karamitros and has published in prestigious journals such as Applied Physics Letters, Analytical Chemistry and Scientific Reports.

In The Last Decade

Jérémy Vrignon

8 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Jérémy Vrignon 310 166 46 37 32 8 357
Sung Won Ahn 265 0.9× 73 0.4× 75 1.6× 44 1.2× 24 0.8× 10 370
Niki Abbasi 259 0.8× 116 0.7× 28 0.6× 27 0.7× 103 3.2× 12 337
Emory M. Payne 240 0.8× 119 0.7× 58 1.3× 13 0.4× 33 1.0× 8 323
Matthew J. Russo 151 0.5× 137 0.8× 130 2.8× 33 0.9× 48 1.5× 12 336
Gaël Favraud 206 0.7× 72 0.4× 59 1.3× 18 0.5× 88 2.8× 11 363
Wibke Hellmich 298 1.0× 62 0.4× 37 0.8× 10 0.3× 14 0.4× 8 335
E. Chmela 321 1.0× 86 0.5× 26 0.6× 45 1.2× 36 1.1× 9 381
Kidan Lee 298 1.0× 97 0.6× 126 2.7× 64 1.7× 77 2.4× 10 364
Emily J. Pollauf 131 0.4× 53 0.3× 45 1.0× 68 1.8× 83 2.6× 8 365
Johannes Spengler 332 1.1× 84 0.5× 22 0.5× 13 0.4× 26 0.8× 7 379

Countries citing papers authored by Jérémy Vrignon

Since Specialization
Citations

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

Fields of papers citing papers by Jérémy Vrignon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérémy Vrignon

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