Frédéric Suard

25 papers receiving 2.7k citations

Hit Papers

A review on lithium-ion battery ageing mechanisms and estimations for automotive applications 2013 · 1.4k citations
1.4k20132026201720214008001.2k

Peers

Frédéric Suard
Comparison fields: 5 of 109
  • Automotive Engineering 1.5k
  • Building and Construction 725
  • Electrical and Electronic Engineering 1.7k
  • Environmental Engineering 380
  • Geology 144
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Citations per year

Countries citing papers authored by Frédéric Suard

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Suard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Frédéric Suard, 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 Suard Line = papers co-authored together Frédéric Suard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review on lithium-ion battery ageing mechanisms and estimations for automotive applications
Hit paper breakdown →
20131354
2
State of the art in building modelling and energy performances prediction: A review
Hit paper breakdown →
2013645
3 2006186
4 201597
5 201594
6 200784
7 201380
8 201541
9 201341
10 201537
11 200520
12
Kernel on Bag of Paths For Measuring Similarity of Shapes.
200718
13 201412
14 201912
15
DISTANCE AND SIMILARITY MEASURES FOR SENSORSSELECTION IN HEAVILY INSTRUMENTED BUILDINGS:APPLICATION TO THE INCAS PLATFORM
201110
16 20137
17 20147
18 20196
19 20106
20 20134

About Frédéric Suard

Frédéric Suard is a scholar working on Automotive Engineering, Building and Construction, Geology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 25 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (6 papers), Electric Vehicles and Infrastructure (5 papers), Building Energy and Comfort Optimization (5 papers), Video Surveillance and Tracking Methods (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Energy Load and Power Forecasting (3 papers). The work is most often cited by research in Automotive Engineering (1.5k citations), Building and Construction (725 citations), Electrical and Electronic Engineering (1.7k citations), Environmental Engineering (380 citations) and Geology (144 citations). Frédéric Suard has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Mathias Gérard, Delphine Riu, Anthony Barré, Sébastien Grolleau, Sylvain Robert, Aurélie Foucquier, Arnaud Jay, Louis Stéphan, Alain Rakotomamonjy and Alberto Broggi. Their work appears in journals such as Journal of Power Sources, Energy and Buildings, Journal of Building Engineering, Artificial intelligence for engineering design analysis and manufacturing and Automation in Construction.

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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