Vincent Guiot

14 total papers · 482 total citations
9 papers, 384 citations indexed

About

Vincent Guiot is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Vincent Guiot has authored 9 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 4 papers in Electrical and Electronic Engineering and 4 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Vincent Guiot's work include Advanced Memory and Neural Computing (4 papers), Electronic and Structural Properties of Oxides (4 papers) and Magnetic and transport properties of perovskites and related materials (3 papers). Vincent Guiot is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Electronic and Structural Properties of Oxides (4 papers) and Magnetic and transport properties of perovskites and related materials (3 papers). Vincent Guiot collaborates with scholars based in France, Argentina and United Kingdom. Vincent Guiot's co-authors include Laurent Cario, Étienne Janod, B. Corraze, M. J. Rozenberg, Pablo Stoliar, C. Vaju, Julien Tranchant, Catherine Guillot‐Deudon, V. Ta Phuoc and Dimitri Roditchev and has published in prestigious journals such as Advanced Materials, Nature Communications and Chemistry of Materials.

In The Last Decade

Vincent Guiot

9 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
Vincent Guiot	228	172	131	128	113	9	384
Coline Adda	191 0.8×	159 0.9×	77 0.6×	52 0.4×	150 1.3×	12	366
Leilei Qiao	362 1.6×	170 1.0×	78 0.6×	43 0.3×	76 0.7×	23	420
Chadol Oh	246 1.1×	162 0.9×	133 1.0×	53 0.4×	160 1.4×	14	381
Vincent Dubost	132 0.6×	139 0.8×	118 0.9×	189 1.5×	47 0.4×	14	348
Xiangxiang Guan	184 0.8×	209 1.2×	195 1.5×	121 0.9×	39 0.3×	17	385
Cameron Danesh	217 1.0×	127 0.7×	44 0.3×	143 1.1×	43 0.4×	12	342
P. Šutar	186 0.8×	289 1.7×	128 1.0×	54 0.4×	27 0.2×	14	379
Dongyang Luo	205 0.9×	143 0.8×	106 0.8×	68 0.5×	24 0.2×	15	335
Guoyi Shi	200 0.9×	112 0.7×	134 1.0×	77 0.6×	26 0.2×	14	371
Sampo Inkinen	198 0.9×	246 1.4×	157 1.2×	70 0.5×	45 0.4×	9	358

Countries citing papers authored by Vincent Guiot

Since Specialization

Citations

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

Fields of papers citing papers by Vincent Guiot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Guiot

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