D. Charraut

714 citations
39 papers · 567 · h-index 14

Impact in

Papers in

D. Charraut

37 papers receiving 543 citations

Peers

D. Charraut
Comparison fields: 5 of 66
  • Surfaces, Coatings and Films 165
  • Biomedical Engineering 287
  • Atomic and Molecular Physics, and Optics 186
  • Polymers and Plastics 48
  • Electronic, Optical and Magnetic Materials 63
Replace C. Bainier with:
C. Bainier France
Hans-Peter Herzig Switzerland
Diana Convey United States
Corey Bungay United States
Yves Jourlin France
Qingjun Song China
Jaehoon Jung South Korea
Stanislav O. Gurbatov Russia
Rajat Sharma India
Sungwook Choi South Korea
D. Charraut relative to C. Bainier France C. Bainier's profile →
Citations per field
00.5×1.5×1.9×
C. Bainier · 1×
Citations per year

Countries citing papers authored by D. Charraut

Since Specialization
Citations

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

Fields of papers citing papers by D. Charraut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200755
2 200847
3 200146
4 201042
5 200638
6 200437
7 200732
8 201029
9 200626
10 200726
11 200824
12 201218
13 200814
14 200814
15 200913
16 197913
17 200711
18 201111
19 197710
20 19879

About D. Charraut

D. Charraut is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Surfaces, Coatings and Films and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 567 indexed citations. Recurring topics across this work include Near-Field Optical Microscopy (11 papers), Polymer Surface Interaction Studies (8 papers), Surface Modification and Superhydrophobicity (6 papers), Plasmonic and Surface Plasmon Research (5 papers), Force Microscopy Techniques and Applications (4 papers), Handwritten Text Recognition Techniques (4 papers), Photonic and Optical Devices (4 papers) and Photonic Crystals and Applications (3 papers). The work is most often cited by research in Surfaces, Coatings and Films (165 citations), Biomedical Engineering (287 citations), Atomic and Molecular Physics, and Optics (186 citations), Polymers and Plastics (48 citations) and Electronic, Optical and Magnetic Materials (63 citations). D. Charraut has collaborated with scholars based in France, United States and Australia. Frequent co-authors include Thierry Grosjean, C. Bainier, A. Foissy, F. Membrey, D. Courjon, C.C. Buron, Miguel Ángel Suárez, C. Filiâtre, J. Duvernoy and Lionel Buisson. Their work appears in journals such as Optics Express, Optics Communications, Journal of Colloid and Interface Science, Colloids and Surfaces A Physicochemical and Engineering Aspects and Journal of Microscopy.

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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