Marc Revilloud

928 total citations · 1 hit paper
11 papers, 558 citations indexed

About

Marc Revilloud is a scholar working on Automotive Engineering, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marc Revilloud has authored 11 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Automotive Engineering, 4 papers in Aerospace Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marc Revilloud's work include Autonomous Vehicle Technology and Safety (9 papers), Robotics and Sensor-Based Localization (4 papers) and Traffic control and management (2 papers). Marc Revilloud is often cited by papers focused on Autonomous Vehicle Technology and Safety (9 papers), Robotics and Sensor-Based Localization (4 papers) and Traffic control and management (2 papers). Marc Revilloud collaborates with scholars based in France and Australia. Marc Revilloud's co-authors include Dominique Gruyer, Laurène Claussmann, Sébastien Glaser, Rachid Belaroussi, Guillaume Bresson, Zayed Alsayed, Olivier Orfila and Guillaume Sandou and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Marc Revilloud

9 papers receiving 544 citations

Hit Papers

A Review of Motion Planning for Highway Autonomous Driving 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Revilloud France 5 386 298 191 84 70 11 558
Laurène Claussmann France 5 401 1.0× 279 0.9× 219 1.1× 54 0.6× 78 1.1× 6 580
Thomas Schamm Germany 14 323 0.8× 339 1.1× 218 1.1× 125 1.5× 67 1.0× 33 600
Linhai Xu China 11 292 0.8× 216 0.7× 144 0.8× 116 1.4× 102 1.5× 25 607
Florian Kuhnt Germany 11 373 1.0× 171 0.6× 161 0.8× 70 0.8× 78 1.1× 17 519
Songyi Zhang China 10 203 0.5× 202 0.7× 150 0.8× 84 1.0× 51 0.7× 27 414
Chiyu Dong United States 11 303 0.8× 194 0.7× 156 0.8× 93 1.1× 81 1.2× 15 432
Wenda Xu United States 9 320 0.8× 294 1.0× 166 0.9× 104 1.2× 49 0.7× 23 519
Pan Zhao China 16 506 1.3× 239 0.8× 287 1.5× 62 0.7× 48 0.7× 31 700
Keonyup Chu South Korea 8 302 0.8× 266 0.9× 158 0.8× 147 1.8× 42 0.6× 13 468

Countries citing papers authored by Marc Revilloud

Since Specialization
Citations

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

Fields of papers citing papers by Marc Revilloud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Revilloud

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Revilloud. A scholar is included among the top collaborators of Marc Revilloud 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 Marc Revilloud. Marc Revilloud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Revilloud, Marc, et al.. (2023). An Interactive Game Theory-PSO Based Comprehensive Framework for Autonomous Vehicle Decision Making and Trajectory Planning. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
4.
Revilloud, Marc, et al.. (2019). Lane markings-based relocalization on highway. 36. 4061–4067. 2 indexed citations
5.
Claussmann, Laurène, Marc Revilloud, & Sébastien Glaser. (2019). Simulated Annealing-optimized Trajectory Planning within Non-Collision Nominal Intervals for Highway Autonomous Driving. HAL (Le Centre pour la Communication Scientifique Directe). 45. 5922–5928. 1 indexed citations
6.
Claussmann, Laurène, Marc Revilloud, Dominique Gruyer, & Sébastien Glaser. (2019). A Review of Motion Planning for Highway Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 21(5). 1826–1848. 446 indexed citations breakdown →
7.
Claussmann, Laurène, Marc Revilloud, Sébastien Glaser, & Dominique Gruyer. (2017). A study on al-based approaches for high-level decision making in highway autonomous driving. QUT ePrints (Queensland University of Technology). 3671–3676. 15 indexed citations
8.
Bresson, Guillaume, et al.. (2016). A cooperative fusion architecture for robust localization: Application to autonomous driving. 859–866. 20 indexed citations
9.
Revilloud, Marc, et al.. (2016). A lane marker estimation method for improving lane detection. 289–295. 12 indexed citations
10.
Orfila, Olivier, et al.. (2015). Ecodriving performances of human drivers in a virtual and realistic world. 790–795. 2 indexed citations
11.
Gruyer, Dominique, Rachid Belaroussi, & Marc Revilloud. (2015). Accurate lateral positioning from map data and road marking detection. Expert Systems with Applications. 43. 1–8. 59 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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