Éric Prestat

59 papers receiving 3.4k citations

Hit Papers

Tunable sieving of ions using graphene oxide membranes 2017 · 1.5k citations
1.5k201720262020202350010001.5k

Peers

Éric Prestat
Comparison fields: 5 of 92
  • Water Science and Technology 1.3k
  • Structural Biology 71
  • Materials Chemistry 2.2k
  • Biomedical Engineering 1.7k
  • Surfaces, Coatings and Films 166
Replace Masamichi Yoshimura with:
Masamichi Yoshimura Japan
Piran R. Kidambi United States
А. А. Елисеев Russia
Keiji Kurashima Japan
M. Lozada-Hidalgo United Kingdom
K. S. Vasu India
Kumar Varoon Agrawal Switzerland
P. Jiřı́ček Czechia
Christopher D. Williams United Kingdom
M. Göthelid Sweden
Éric Prestat relative to Masamichi Yoshimura Japan Masamichi Yoshimura's profile →
Citations per field
00.5×1.5×2.0×
Masamichi Yoshimura · 1×
Citations per year

Countries citing papers authored by Éric Prestat

Since Specialization
Citations

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

Fields of papers citing papers by Éric Prestat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tunable sieving of ions using graphene oxide membranes
Hit paper breakdown →
20171524
2 2017307
3 2016149
4 2020145
5 2017118
6 201676
7 201968
8 202067
9 201463
10 201760
11 201258
12 201655
13 201853
14 201650
15 202249
16 201847
17 201836
18 201636
19 201634
20 201732

About Éric Prestat

Éric Prestat is a scholar working on Structural Biology, Surfaces, Coatings and Films, Materials Chemistry, Electronic, Optical and Magnetic Materials and Water Science and Technology, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Graphene research and applications (17 papers), Advanced Electron Microscopy Techniques and Applications (8 papers), Electron and X-Ray Spectroscopy Techniques (7 papers), Membrane Separation Technologies (6 papers), ZnO doping and properties (6 papers), 2D Materials and Applications (5 papers), Membrane Separation and Gas Transport (4 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Water Science and Technology (1.3k citations), Structural Biology (71 citations), Materials Chemistry (2.2k citations), Biomedical Engineering (1.7k citations) and Surfaces, Coatings and Films (166 citations). Éric Prestat has collaborated with scholars based in United Kingdom, France and China. Frequent co-authors include Sarah J. Haigh, Rahul R. Nair, Yang Su, K. S. Vasu, James A. Dix, A. K. Geǐm, Paola Carbone, Christie Thomas Cherian, Christopher D. Williams and Jijo Abraham. Their work appears in journals such as Ultramicroscopy, Microscopy and Microanalysis, Nanoscale, Nano Letters and ACS Nano.

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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