Christian Laugier

227 papers receiving 5.4k citations

Hit Papers

A survey on motion prediction and risk assessment for int...20142026201820222014250500750

Peers

Christian Laugier
Comparison fields: 5 of 161
  • Computer Vision and Pattern Recognition 2.2k
  • Automotive Engineering 2.1k
  • Control and Systems Engineering 1.4k
  • Aerospace Engineering 892
  • Artificial Intelligence 807
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Citations per year

Countries citing papers authored by Christian Laugier

Since Specialization
Citations

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

Fields of papers citing papers by Christian Laugier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Laugier

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Laugier. A scholar is included among the top collaborators of Christian Laugier 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 Christian Laugier. Christian Laugier 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
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Intelligent Vehicles as an Integral Part of Intelligent Transport Systems.
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Hybrid P300 and mu-beta brain computer interface to operate a brain controlled wheelchair
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Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International Conference on
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Bayesian Occupancy Filter based "Fast Clustering-Tracking" algorithm
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Combining Probabilistic Velocity Obstacles and Occcupancy Grid for safe Navigation in dynamic environments
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Representational guidance of dance performance in adult novices: effect of concrete vs. abstract movement
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Solving complex motion planning problems by combining geometric and physical models: the cases of a rover and of a dextrous hand
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Dynamic Trajectory Planning Path-Velocity Decomposition and Adjacent Paths.
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Planning sensor-based motions for part-mating using geometric reasoning techniques
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About Christian Laugier

Christian Laugier is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Control and Systems Engineering, having authored 233 papers that have together received 5.7k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (66 papers), Autonomous Vehicle Technology and Safety (54 papers) and Robotics and Sensor-Based Localization (42 papers). The work is most often cited by research in Automotive Engineering (2.1k citations), Computer Vision and Pattern Recognition (2.2k citations) and Human-Computer Interaction (337 citations). Christian Laugier has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Stéphanie Lefèvre, Dizan Vasquez, Thierry Fraichard, Anne Spalanzani, I.E. Paromtchik, Mathias Perrollaz, Jean‐Pierre Merlet, Raja Chatila, Chiara Fulgenzi and Puneet Kumar. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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