Laurène Claussmann

835 total citations · 1 hit paper
6 papers, 580 citations indexed

About

Laurène Claussmann is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Laurène Claussmann has authored 6 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Social Psychology. Recurrent topics in Laurène Claussmann's work include Autonomous Vehicle Technology and Safety (6 papers), Robotic Path Planning Algorithms (4 papers) and Human-Automation Interaction and Safety (2 papers). Laurène Claussmann is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Robotic Path Planning Algorithms (4 papers) and Human-Automation Interaction and Safety (2 papers). Laurène Claussmann collaborates with scholars based in France, Australia and Canada. Laurène Claussmann's co-authors include Dominique Gruyer, Sébastien Glaser, Marc Revilloud, Andry Rakotonirainy, Olivier Orfila, Ashwin Carvalho, Georg Schildbach and Homayoun Najjaran and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Annual Reviews in Control and HAL (Le Centre pour la Communication Scientifique Directe).

In The Last Decade

Laurène Claussmann

6 papers receiving 567 citations

Hit Papers

A Review of Motion Planning for Highway Autonomous Driving 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Motion Planning for Highway Autonomous Driving
    2019 446 citations Laurène Claussmann, Marc Revilloud et al. IEEE Transactions on Intelligent Transportation Systems profile →

Peers

Laurène Claussmann
Marc Revilloud France
You Hong Eng Singapore
Hans Andersen Singapore
Linhai Xu China
Markus Koschi Germany
Florian Kuhnt Germany
Pan Zhao China
François Aioun France
Scott Pendleton Singapore
Marc Revilloud France
Laurène Claussmann
Citations per year, relative to Laurène Claussmann Laurène Claussmann (= 1×) peers Marc Revilloud

Countries citing papers authored by Laurène Claussmann

Since Specialization
Citations

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

Fields of papers citing papers by Laurène Claussmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurène Claussmann

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

All Works

6 of 6 papers shown
1.
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
2.
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 →
3.
Claussmann, Laurène, et al.. (2018). Multi-Criteria Decision Making for Autonomous Vehicles using Fuzzy Dempster-Shafer Reasoning. SPIRE - Sciences Po Institutional REpository. 2195–2202. 22 indexed citations
4.
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
5.
Gruyer, Dominique, et al.. (2017). Perception, information processing and modeling: Critical stages for autonomous driving applications. Annual Reviews in Control. 44. 323–341. 80 indexed citations
6.
Claussmann, Laurène, Ashwin Carvalho, & Georg Schildbach. (2015). A path planner for autonomous driving on highways using a human mimicry approach with Binary Decision Diagrams. 2976–2982. 16 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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2026