Frédéric Suard

3.5k total citations · 2 hit papers
25 papers, 2.8k citations indexed

About

Frédéric Suard is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Building and Construction. According to data from OpenAlex, Frédéric Suard has authored 25 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 8 papers in Automotive Engineering and 8 papers in Building and Construction. Recurrent topics in Frédéric Suard's work include Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (6 papers) and Building Energy and Comfort Optimization (5 papers). Frédéric Suard is often cited by papers focused on Advanced Battery Technologies Research (7 papers), Advancements in Battery Materials (6 papers) and Building Energy and Comfort Optimization (5 papers). Frédéric Suard collaborates with scholars based in France, Italy and United Kingdom. Frédéric Suard's co-authors include Mathias Gérard, Delphine Riu, Anthony Barré, Sébastien Grolleau, Sylvain Robert, Aurélie Foucquier, Arnaud Jay, Louis Stéphan, Alain Rakotomamonjy and Alberto Broggi and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Power Sources and Energy and Buildings.

In The Last Decade

Frédéric Suard

25 papers receiving 2.7k citations

Hit Papers

A review on lithium-ion battery ageing mechanisms and est... 2013 2026 2017 2021 2013 2013 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frédéric Suard France 13 1.7k 1.5k 725 380 326 25 2.8k
Xinkai Wu China 36 1.3k 0.8× 1.4k 1.0× 1.0k 1.4× 124 0.3× 413 1.3× 129 3.9k
Kari Tammi Finland 30 1.5k 0.9× 1.3k 0.9× 98 0.1× 210 0.6× 104 0.3× 136 2.8k
Khairul Salleh Mohamed Sahari Malaysia 22 530 0.3× 404 0.3× 436 0.6× 186 0.5× 168 0.5× 104 1.6k
Yuanjun Guo China 26 1.1k 0.6× 540 0.4× 219 0.3× 76 0.2× 98 0.3× 100 2.1k
Sousso Kélouwani Canada 29 2.3k 1.3× 1.3k 0.9× 408 0.6× 133 0.3× 184 0.6× 174 3.2k
Luigi Martirano Italy 29 2.3k 1.4× 584 0.4× 586 0.8× 303 0.8× 38 0.1× 252 3.4k
K. Kalaitzakis Greece 29 2.9k 1.7× 980 0.7× 1.1k 1.6× 465 1.2× 320 1.0× 71 5.2k
Stéphane Ploix France 23 1.4k 0.8× 602 0.4× 608 0.8× 151 0.4× 142 0.4× 106 3.2k
Jianqing Wu China 26 204 0.1× 881 0.6× 391 0.5× 601 1.6× 594 1.8× 87 2.2k
M. Moghavvemi Malaysia 36 2.5k 1.5× 419 0.3× 173 0.2× 165 0.4× 216 0.7× 172 4.7k

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-authorship network of co-authors of Frédéric Suard

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Suard. A scholar is included among the top collaborators of Frédéric Suard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frédéric Suard. Frédéric Suard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Suard, Frédéric, et al.. (2019). Saving energy by anticipating hot water production: identification of key points for an efficient statistical model integration. Artificial intelligence for engineering design analysis and manufacturing. 33(2). 138–147. 6 indexed citations
3.
Robert, Sylvain, et al.. (2015). Automatic reconstruction of 3D building models from scanned 2D floor plans. Automation in Construction. 63. 48–56. 97 indexed citations
4.
Suard, Frédéric, et al.. (2015). From a novel classification of the battery state of charge estimators toward a conception of an ideal one. Journal of Power Sources. 279. 694–706. 37 indexed citations
5.
Hippolyte, Jean-Laurent, et al.. (2015). Review: reconstruction of 3D building information models from 2D scanned plans. Journal of Building Engineering. 2. 24–35. 94 indexed citations
6.
Suard, Frédéric, et al.. (2015). Statistical Modeling for Real Domestic Hot Water Consumption Forecasting. Energy Procedia. 70. 379–387. 41 indexed citations
7.
Giménez, Luis, Sylvain Robert, Frédéric Suard, & Khaldoun Zreik. (2015). A novel approach to 2D drawings-based reconstruction of 3D building digital models. WIT transactions on the built environment. 1. 437–447. 1 indexed citations
8.
Canu, Stéphane, et al.. (2014). A robust regularization path for the Doubly Regularized Support Vector Machine.. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
9.
Suard, Frédéric, et al.. (2014). A Real-time Data-driven Method for Battery Health Prognostics in Electric Vehicle Use. PHM Society European Conference. 2(1). 12 indexed citations
10.
Barré, Anthony, Frédéric Suard, Mathias Gérard, & Delphine Riu. (2014). Electric vehicles performance estimation through a patterns extraction and classification methodology. Journal of Power Sources. 273. 670–679. 7 indexed citations
11.
Foucquier, Aurélie, Sylvain Robert, Frédéric Suard, Louis Stéphan, & Arnaud Jay. (2013). State of the art in building modelling and energy performances prediction: A review. Renewable and Sustainable Energy Reviews. 23. 272–288. 645 indexed citations breakdown →
12.
Barré, Anthony, et al.. (2013). A review on lithium-ion battery ageing mechanisms and estimations for automotive applications. Journal of Power Sources. 241. 680–689. 1354 indexed citations breakdown →
13.
Foucquier, Aurélie, et al.. (2013). Effect Of Wall Merging On A Simplified Building Energy Model: Accuracy Vs Number Of Equations. Building Simulation Conference proceedings. 7 indexed citations
14.
Barré, Anthony, Frédéric Suard, Mathias Gérard, Maxime Montaru, & Delphine Riu. (2013). Statistical Method Tools to Analyze Ageing Effects on Li-Ion Battery Performances. SAE technical papers on CD-ROM/SAE technical paper series. 4 indexed citations
15.
Suard, Frédéric, et al.. (2013). Analysis of the main factors influencing the energy consumption of electric vehicles. HAL (Le Centre pour la Communication Scientifique Directe). 247–253. 41 indexed citations
16.
Gouy‐Pailler, Cédric, et al.. (2011). DISTANCE AND SIMILARITY MEASURES FOR SENSORSSELECTION IN HEAVILY INSTRUMENTED BUILDINGS:APPLICATION TO THE INCAS PLATFORM. 10 indexed citations
17.
Suard, Frédéric, Alain Rakotomamonjy, & Abdelaziz Bensrhair. (2007). Kernel on Bag of Paths For Measuring Similarity of Shapes.. The European Symposium on Artificial Neural Networks. 355–360. 18 indexed citations
18.
Suard, Frédéric, Alain Rakotomamonjy, & Abdelaziz Bensrhair. (2007). Model selection in pedestrian detection using multiple kernel learning. 5. 270–275. 3 indexed citations
19.
Suard, Frédéric, Alain Rakotomamonjy, Abdelaziz Bensrhair, & Alberto Broggi. (2006). Pedestrian Detection using Infrared images and Histograms of Oriented Gradients. 206–212. 186 indexed citations
20.
Suard, Frédéric, et al.. (2005). Pedestrian detection using stereo-vision and graph kernels. 50. 267–272. 20 indexed citations

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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