Valessa Barbier

28 total papers · 766 total citations
22 papers, 636 citations indexed

About

Valessa Barbier is a scholar working on Organic Chemistry, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Valessa Barbier has authored 22 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 10 papers in Biomedical Engineering and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Valessa Barbier's work include Microfluidic and Capillary Electrophoresis Applications (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Carbon dioxide utilization in catalysis (3 papers). Valessa Barbier is often cited by papers focused on Microfluidic and Capillary Electrophoresis Applications (9 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Carbon dioxide utilization in catalysis (3 papers). Valessa Barbier collaborates with scholars based in France, United States and Brazil. Valessa Barbier's co-authors include Jean‐Louis Viovy, H. Willaime, Patrick Tabeling, Farzaneh Arefi‐Khonsari, Hong Li, Armand Ajdari, Michaël Tatoulian, Jacques Penelle, Sylvie Boileau and Fabien Jousse and has published in prestigious journals such as Physical Review Letters, Analytical Chemistry and Macromolecules.

In The Last Decade

Valessa Barbier

22 papers receiving 627 citations

Author Peers

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

Author						Papers	Cites
Valessa Barbier	416	211	139	76	71	22	636
Yingxue Zhang	179 0.4×	142 0.7×	105 0.8×	71 0.9×	248 3.5×	23	686
Joshua C. Speros	168 0.4×	196 0.9×	260 1.9×	37 0.5×	162 2.3×	18	687
Sebastian Lamping	140 0.3×	135 0.6×	291 2.1×	72 0.9×	162 2.3×	21	586
Cathrin Corten	137 0.3×	130 0.6×	220 1.6×	19 0.3×	138 1.9×	15	567
Alain Carvalho	114 0.3×	107 0.5×	154 1.1×	120 1.6×	157 2.2×	36	561
Yang Wang	391 0.9×	296 1.4×	134 1.0×	89 1.2×	180 2.5×	20	744
Heeyoel Baek	175 0.4×	108 0.5×	205 1.5×	45 0.6×	209 2.9×	16	582
William M. Lackowski	178 0.4×	167 0.8×	112 0.8×	166 2.2×	92 1.3×	17	553
Jin Zheng	166 0.4×	127 0.6×	83 0.6×	109 1.4×	247 3.5×	30	613
Petri Pulkkinen	357 0.9×	352 1.7×	87 0.6×	143 1.9×	268 3.8×	17	778

Countries citing papers authored by Valessa Barbier

Since Specialization

Citations

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

Fields of papers citing papers by Valessa Barbier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valessa Barbier

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