Maxime Guériau

938 total citations
26 papers, 649 citations indexed

About

Maxime Guériau is a scholar working on Automotive Engineering, Transportation and Control and Systems Engineering. According to data from OpenAlex, Maxime Guériau has authored 26 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Automotive Engineering, 10 papers in Transportation and 8 papers in Control and Systems Engineering. Recurrent topics in Maxime Guériau's work include Transportation and Mobility Innovations (8 papers), Traffic control and management (8 papers) and Sharing Economy and Platforms (7 papers). Maxime Guériau is often cited by papers focused on Transportation and Mobility Innovations (8 papers), Traffic control and management (8 papers) and Sharing Economy and Platforms (7 papers). Maxime Guériau collaborates with scholars based in Ireland, France and United Kingdom. Maxime Guériau's co-authors include Ivana Dusparić, Ransford A. Acheampong, Federico Cugurullo, Nour‐Eddin El Faouzi, Romain Billot, Salima Hassas, Julien Monteil, Martin Gregurić, Edouard Ivanjko and Krešimir Kušić and has published in prestigious journals such as IEEE Access, IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part C Emerging Technologies.

In The Last Decade

Maxime Guériau

25 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maxime Guériau Ireland 11 383 271 243 122 111 26 649
Sisi Jian Hong Kong 15 404 1.1× 278 1.0× 114 0.5× 151 1.2× 94 0.8× 57 640
Ye Tian China 17 442 1.2× 307 1.1× 267 1.1× 207 1.7× 48 0.4× 88 789
Anna Pernestål Sweden 16 358 0.9× 220 0.8× 103 0.4× 88 0.7× 35 0.3× 58 669
Santhanakrishnan Narayanan Germany 9 592 1.5× 400 1.5× 134 0.6× 190 1.6× 84 0.8× 24 743
Paolo Delle Site Italy 13 403 1.1× 491 1.8× 122 0.5× 302 2.5× 39 0.4× 54 802
Karlyn D. Stanley United States 5 350 0.9× 141 0.5× 106 0.4× 35 0.3× 69 0.6× 13 498
Dávid Földes Hungary 14 372 1.0× 195 0.7× 42 0.2× 91 0.7× 211 1.9× 46 572
Ricardo Fernandes Portugal 12 250 0.7× 146 0.5× 170 0.7× 126 1.0× 369 3.3× 34 675
Hooi Ling Khoo Malaysia 14 252 0.7× 404 1.5× 301 1.2× 232 1.9× 95 0.9× 57 706
Qingyun Tian Singapore 11 324 0.8× 163 0.6× 234 1.0× 98 0.8× 62 0.6× 24 508

Countries citing papers authored by Maxime Guériau

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Guériau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Guériau

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Guériau. A scholar is included among the top collaborators of Maxime Guériau 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 Maxime Guériau. Maxime Guériau 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.
Guériau, Maxime, et al.. (2024). Advancements in Mixed Reality for Autonomous Vehicle Testing and Advanced Driver Assistance Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems. 25(12). 19276–19294. 3 indexed citations
2.
3.
Guériau, Maxime, et al.. (2024). CornerSim: A Virtualization Framework to Generate Realistic Corner-Case Scenarios for Autonomous Driving Perception Testing. Procedia Computer Science. 238. 184–191. 1 indexed citations
4.
Guériau, Maxime, et al.. (2023). A mixed-reality framework based on depth camera for safety testing of autonomous navigation systems. SPIRE - Sciences Po Institutional REpository. 2010. 2050–2055. 2 indexed citations
5.
Golpayegani, Fatemeh, et al.. (2022). Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction. IEEE Access. 10. 35302–35320. 11 indexed citations
6.
Guériau, Maxime, et al.. (2021). Demand-responsive rebalancing zone generation for reinforcement learning-based on-demand mobility. AI Communications. 34(1). 73–88. 3 indexed citations
7.
Acheampong, Ransford A., Federico Cugurullo, Maxime Guériau, & Ivana Dusparić. (2021). Can autonomous vehicles enable sustainable mobility in future cities? Insights and policy challenges from user preferences over different urban transport options. Cities. 112. 103134–103134. 118 indexed citations
8.
Kušić, Krešimir, Ivana Dusparić, Maxime Guériau, Martin Gregurić, & Edouard Ivanjko. (2020). Extended Variable Speed Limit control using Multi-agent Reinforcement Learning. 1–8. 27 indexed citations
9.
Dusparić, Ivana, Federico Cugurullo, Maxime Guériau, & Ransford A. Acheampong. (2020). Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion. Arrow@dit (Dublin Institute of Technology). 37 indexed citations
10.
Guériau, Maxime, Federico Cugurullo, Ransford A. Acheampong, & Ivana Dusparić. (2020). Shared Autonomous Mobility on Demand: A Learning-Based Approach and Its Performance in the Presence of Traffic Congestion. IEEE Intelligent Transportation Systems Magazine. 12(4). 208–218. 8 indexed citations
11.
Taylor, Adam, Ivana Dusparić, Maxime Guériau, & Siobhán Clarke. (2019). Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer?. 1–8. 17 indexed citations
12.
Guériau, Maxime, Nicolás Cardozo, & Ivana Dusparić. (2019). Constructivist Approach to State Space Adaptation in Reinforcement Learning. 52–61. 7 indexed citations
13.
Acheampong, Ransford A., Federico Cugurullo, Ivana Dusparić, & Maxime Guériau. (2019). An Examination of User Adoption Behavior of Autonomous Vehicles and Urban Sustainability Implications. Transportation research procedia. 41. 187–190. 15 indexed citations
14.
Omoniwa, Babatunji, Maxime Guériau, & Ivana Dusparić. (2019). An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT. 324–329. 4 indexed citations
15.
Guériau, Maxime. (2019). Self-Organizing Traffic Based on Dynamic Platoon Configuration. 1618–1622. 1 indexed citations
16.
Guériau, Maxime & Ivana Dusparić. (2018). SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning. Arrow@dit (Dublin Institute of Technology). 1558–1563. 46 indexed citations
17.
Guériau, Maxime, et al.. (2018). Apprentissage constructiviste à base de systèmes multiagents. Une application au problème complexe de la régulation coopérative du trafic. Revue d intelligence artificielle. 32(2). 249–277. 3 indexed citations
18.
Guériau, Maxime, et al.. (2017). Using Physics Inspired Wave Agents in a Virtual Environment. HAL (Le Centre pour la Communication Scientifique Directe). 5(2). 15–28. 1 indexed citations
19.
Guériau, Maxime, et al.. (2016). How to assess the benefits of connected vehicles? A simulation framework for the design of cooperative traffic management strategies. Transportation Research Part C Emerging Technologies. 67. 266–279. 139 indexed citations
20.
Guériau, Maxime, et al.. (2015). Multi-Agent Dynamic Coupling for Cooperative Vehicles Modeling. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 8 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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