Frédéric Gillot

58 papers receiving 1.6k citations

Peers

Frédéric Gillot
Comparison fields: 5 of 75
  • Electronic, Optical and Magnetic Materials 394
  • Electrical and Electronic Engineering 1.0k
  • Automotive Engineering 165
  • Statistics, Probability and Uncertainty 77
  • Computer Graphics and Computer-Aided Design 26
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Yong Cai China
Yuxi Jia China
Xiaolei Deng China
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Scott Alan Roberts United States
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Gillot

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Gillot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frédéric Gillot, 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 Frédéric Gillot Line = papers co-authored together Frédéric Gillot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005218
2 2006185
3 2019126
4 200683
5 201177
6 200563
7 201360
8 200459
9 200258
10 200557
11 200754
12 200448
13 201547
14 201435
15 200835
16 200532
17 202031
18 201329
19 201828
20 200328

About Frédéric Gillot

Frédéric Gillot is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Automotive Engineering, Civil and Structural Engineering and Biomedical Engineering, having authored 62 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advancements in Battery Materials (20 papers), Advanced Battery Materials and Technologies (14 papers), Advanced Numerical Analysis Techniques (8 papers), Inorganic Chemistry and Materials (7 papers), Vehicle Noise and Vibration Control (5 papers), Health, Medicine and Society (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Computational Geometry and Mesh Generation (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (394 citations), Electrical and Electronic Engineering (1.0k citations), Automotive Engineering (165 citations), Statistics, Probability and Uncertainty (77 citations) and Computer Graphics and Computer-Aided Design (26 citations). Frédéric Gillot has collaborated with scholars based in France, Japan and China. Frequent co-authors include Marie‐Liesse Doublet, Mathieu Morcrette, Laure Monconduit, L. Dupont, Simeon Boyanov, J-M. Tarascon, Frèdéric Favier, L. Monconduit, Marie‐Pierre Bichat and M. Rosa Palacín. Their work appears in journals such as Chemistry of Materials, Ionics, European Journal of Mechanics - A/Solids, Structural and Multidisciplinary Optimization and Lab on a Chip.

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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