Franck Guillemard

1.0k total citations
48 papers, 735 citations indexed

About

Franck Guillemard is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Franck Guillemard has authored 48 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Automotive Engineering, 24 papers in Control and Systems Engineering and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Franck Guillemard's work include Autonomous Vehicle Technology and Safety (21 papers), Traffic control and management (12 papers) and Advanced Battery Technologies Research (11 papers). Franck Guillemard is often cited by papers focused on Autonomous Vehicle Technology and Safety (21 papers), Traffic control and management (12 papers) and Advanced Battery Technologies Research (11 papers). Franck Guillemard collaborates with scholars based in France, China and Poland. Franck Guillemard's co-authors include François Aioun, Jocelyn Sabatier, Huijing Zhao, Mathieu Moze, Donghao Xu, Mathieu Merveillaut, Yuping Lin, He Xu, Pierre Melchior and Reine Talj and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

In The Last Decade

Franck Guillemard

46 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franck Guillemard France 15 558 302 244 157 82 48 735
Yonghwan Jeong South Korea 14 392 0.7× 251 0.8× 85 0.3× 146 0.9× 48 0.6× 58 625
Kun Cao China 13 249 0.4× 292 1.0× 87 0.4× 132 0.8× 46 0.6× 53 587
Kiyohito Tokuda Japan 12 229 0.4× 268 0.9× 519 2.1× 81 0.5× 31 0.4× 57 781
Min-Chul Lee South Korea 12 220 0.4× 82 0.3× 155 0.6× 131 0.8× 36 0.4× 30 463
Taixiong Zheng China 15 262 0.5× 701 2.3× 169 0.7× 31 0.2× 85 1.0× 26 838
John J. Martínez France 16 503 0.9× 888 2.9× 109 0.4× 39 0.2× 47 0.6× 85 1.2k
Joseph Funke United States 8 680 1.2× 495 1.6× 56 0.2× 262 1.7× 22 0.3× 8 825
Shengchao Zhen China 20 145 0.3× 777 2.6× 124 0.5× 115 0.7× 12 0.1× 101 1.0k
Volkan Sezer Türkiye 10 264 0.5× 199 0.7× 132 0.5× 273 1.7× 15 0.2× 49 542

Countries citing papers authored by Franck Guillemard

Since Specialization
Citations

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

Fields of papers citing papers by Franck Guillemard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Guillemard

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Guillemard. A scholar is included among the top collaborators of Franck Guillemard 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 Franck Guillemard. Franck Guillemard 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
1.
Sabatier, Jocelyn, et al.. (2025). Research and implementation of a fast-charging methodology for lithium-ion batteries under bottom and dual cooling configurations. Journal of Energy Storage. 130. 117285–117285. 1 indexed citations
2.
Vinassa, Jean-Michel, et al.. (2023). A detailed Electro-thermal model of an NMC lithium-ion prismatic battery cell. SPIRE - Sciences Po Institutional REpository. 1–5. 1 indexed citations
3.
Vinassa, Jean-Michel, et al.. (2023). An Electrothermal Model of an NMC Lithium-Ion Prismatic Battery Cell for Temperature Distribution Assessment. Batteries. 9(9). 478–478. 5 indexed citations
4.
Xu, Donghao, et al.. (2022). Driver Identification Through Heterogeneity Modeling in Car-Following Sequences. IEEE Transactions on Intelligent Transportation Systems. 23(10). 17143–17156. 18 indexed citations
5.
Talj, Reine, et al.. (2021). Generic Trajectory Planning Algorithm for Urban Autonomous Driving. 607–612. 3 indexed citations
6.
Xu, Donghao, He Xu, Huijing Zhao, et al.. (2020). Learning From Naturalistic Driving Data for Human-Like Autonomous Highway Driving. IEEE Transactions on Intelligent Transportation Systems. 22(12). 7341–7354. 59 indexed citations
7.
Melchior, Pierre, et al.. (2019). Reactive Path Planning for Autonomous Vehicle Using Bézier Curve Optimization. HAL (Le Centre pour la Communication Scientifique Directe). 1048–1053. 9 indexed citations
8.
Sun, Ruoyu, Donghao Xu, Huijing Zhao, et al.. (2019). Backpropagation through Simulation: A Training Method for Neural Network-based Car-following. 3796–3803. 1 indexed citations
9.
Melchior, Pierre, et al.. (2018). Planification de trajectoire par champs de potentiel fractionnaires appliquée au véhicule autonome. HAL (Le Centre pour la Communication Scientifique Directe). 2(1). 1 indexed citations
10.
Xu, Donghao, et al.. (2018). Naturalistic Lane Change Analysis for Human-Like Trajectory Generation. 11 indexed citations
11.
Melchior, Pierre, et al.. (2017). Cruise control of an electric vehicle through fractional linear feedforward & prefiltering of an acceleration reference signal. INRIA a CCSD electronic archive server. 1 indexed citations
12.
Xu, Donghao, He Xu, Huijing Zhao, et al.. (2017). Ego-centric traffic behavior understanding through multi-level vehicle trajectory analysis. 3. 211–218.
13.
Xu, Donghao, et al.. (2017). Scene-aware driver state understanding in car-following behaviors. 1490–1496. 3 indexed citations
14.
Melchior, Pierre, et al.. (2017). Cruise control of an electric vehicle through fractional linear feedforward & prefiltering of an acceleration reference signal. IFAC-PapersOnLine. 50(1). 12569–12574. 1 indexed citations
15.
Melchior, Pierre, et al.. (2017). Path planning with fractional potential fields for autonomous vehicles. IFAC-PapersOnLine. 50(1). 14533–14538. 25 indexed citations
16.
Airimiţoaie, Tudor-Bogdan, Patrick Lanusse, François Aioun, et al.. (2017). Model Predictive Control Tuning: Methods and Issues. Application to steering wheel position control. IFAC-PapersOnLine. 50(1). 11331–11336. 5 indexed citations
17.
Farges, Christophe, et al.. (2016). Finite length wire electro-thermal modeling for automotive applications using H2-norm based approximation of a fractional model. IEEE Conference Proceedings. 2016. 1241. 1 indexed citations
18.
Talj, Reine, et al.. (2016). A Markov Decision Process-based approach for trajectory planning with clothoid tentacles. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations
19.
Sabatier, Jocelyn, et al.. (2013). Fractional models for lithium-ion batteries. 3458–3463. 23 indexed citations
20.
Bideaux, Éric, et al.. (2005). Mechatronic bond graph modelling of an automotive vehicle. Mathematical and Computer Modelling of Dynamical Systems. 12(2-3). 189–202. 7 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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