Raphaël Chattot

2.7k citations
57 papers · 2.3k indexed · h-index 26

Raphaël Chattot

55 papers receiving 2.3k citations

Peers

Raphaël Chattot
Comparison fields: 5 of 55
  • Renewable Energy, Sustainability and the Environment 2.0k
  • Electrochemistry 342
  • Electrical and Electronic Engineering 1.6k
  • Catalysis 151
  • Energy Engineering and Power Technology 67
Replace Yunduo Yao with:
Yunduo Yao China
Nadiia Kulyk Germany
Carolina Galeano Germany
Tristan Asset France
Gustav K. H. Wiberg Switzerland
Carsten Cremers Germany
Paul Paciok Germany
Daniel F. Abbott Switzerland
Iris Dorbandt Germany
Fei Xiao China
Raphaël Chattot relative to Yunduo Yao China Yunduo Yao's profile →
Citations per field
00.5×10×20×30×39.5×
Yunduo Yao · 1×
Citations per year

Countries citing papers authored by Raphaël Chattot

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Chattot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20256
2 20251
3 20251
4 20255
5 20259
6 202446
7 20249
8 20237
9 202317
10 20232
11 20237
12 202312
13 202220
14 202223
15 202210
16 20216
17 202136
18 2021122
19 202045
20 201767

About Raphaël Chattot

Raphaël Chattot is a scholar working on Renewable Energy, Sustainability and the Environment, Electrochemistry and Electrical and Electronic Engineering, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (53 papers), Fuel Cells and Related Materials (38 papers), Advanced battery technologies research (18 papers), Electrochemical Analysis and Applications (12 papers), Machine Learning in Materials Science (6 papers), Catalytic Processes in Materials Science (5 papers), Advancements in Solid Oxide Fuel Cells (4 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.0k citations), Electrochemistry (342 citations) and Electrical and Electronic Engineering (1.6k citations). Raphaël Chattot has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Frédéric Maillard, Laëtitia Dubau, Jakub Drnec, Tristan Asset, P. Bordet, Jaysen Nelayah, Isaac Martens, Vincent Martin, Peter Strasser and Juan Herranz. Their work appears in journals such as ACS Catalysis, ACS Applied Materials & Interfaces, ACS Applied Energy Materials, Journal of Power Sources and Applied Catalysis B: Environmental.

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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