Raphaël Labayrade

1.6k total citations · 1 hit paper
32 papers, 1.1k citations indexed

About

Raphaël Labayrade is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Raphaël Labayrade has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Automotive Engineering, 20 papers in Computer Vision and Pattern Recognition and 5 papers in Building and Construction. Recurrent topics in Raphaël Labayrade's work include Autonomous Vehicle Technology and Safety (19 papers), Advanced Vision and Imaging (15 papers) and Video Surveillance and Tracking Methods (12 papers). Raphaël Labayrade is often cited by papers focused on Autonomous Vehicle Technology and Safety (19 papers), Advanced Vision and Imaging (15 papers) and Video Surveillance and Tracking Methods (12 papers). Raphaël Labayrade collaborates with scholars based in France and United States. Raphaël Labayrade's co-authors include D. Aubert, Jean‐Philippe Tarel, Didier Aubert, Nicolas Hautière, Dominique Gruyer, Sébastien Glaser, Saïd Mammar, Ahmed Chaibet, Mathias Perrollaz and Benoît Lusetti and has published in prestigious journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Intelligent Transportation Systems and Autonomous Robots.

In The Last Decade

Raphaël Labayrade

30 papers receiving 958 citations

Hit Papers

Real time obstacle detection in stereovision on non flat ... 2003 2026 2010 2018 2003 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. Real time obstacle detection in stereovision on non flat road geometry through "v-disparity" representation
    2003 461 citations Raphaël Labayrade, D. Aubert et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphaël Labayrade France 14 753 543 239 167 82 32 1.1k
D. Aubert France 13 656 0.9× 375 0.7× 203 0.8× 125 0.7× 52 0.6× 25 865
Christoph G. Keller Germany 11 480 0.6× 406 0.7× 227 0.9× 92 0.6× 79 1.0× 12 863
Paulo Peixoto Portugal 15 663 0.9× 349 0.6× 269 1.1× 239 1.4× 71 0.9× 50 1.1k
Keisuke Yoneda Japan 15 347 0.5× 381 0.7× 282 1.2× 160 1.0× 127 1.5× 55 754
Todd Jochem United States 12 399 0.5× 384 0.7× 123 0.5× 100 0.6× 106 1.3× 19 699
Chunzhao Guo Japan 13 380 0.5× 343 0.6× 125 0.5× 125 0.7× 68 0.8× 43 611
Naoki Akai Japan 16 404 0.5× 297 0.5× 407 1.7× 133 0.8× 168 2.0× 62 821
Alberto Hata Brazil 11 247 0.3× 286 0.5× 246 1.0× 203 1.2× 85 1.0× 22 700
Michael Himmelsbach Germany 14 528 0.7× 444 0.8× 495 2.1× 374 2.2× 122 1.5× 21 1.1k
Javier Ibañez‐Guzmán France 16 242 0.3× 343 0.6× 202 0.8× 86 0.5× 97 1.2× 46 736

Countries citing papers authored by Raphaël Labayrade

Since Specialization
Citations

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

Fields of papers citing papers by Raphaël Labayrade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphaël Labayrade

This figure shows the co-authorship network connecting the top 25 collaborators of Raphaël Labayrade. A scholar is included among the top collaborators of Raphaël Labayrade 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 Raphaël Labayrade. Raphaël Labayrade 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.
Labayrade, Raphaël, et al.. (2015). A suitable and energy-efficient luminous environment for a shared office. Lighting Research & Technology. 48(6). 755–770. 9 indexed citations
2.
Labayrade, Raphaël, et al.. (2014). Solving complex design problems through multiobjective optimisation taking into account judgements of users. Research in Engineering Design. 25(3). 223–239. 3 indexed citations
3.
Labayrade, Raphaël, et al.. (2014). Psychovisual evaluations of many luminous environments on the internet. Lighting Research & Technology. 47(4). 405–418. 2 indexed citations
4.
Labayrade, Raphaël, et al.. (2014). Multi-Genomic Algorithms. 25. 48–55.
5.
Bodart, Magali, et al.. (2013). Assessing lighting appearance using pictures: Influence of tone-mapping parameters and lighting conditions in the visualization room. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
6.
Labayrade, Raphaël, et al.. (2011). Psychovisual Assessment of Tone-Mapping Operators for Global Appearance and Colour Reproduction. 189–196. 11 indexed citations
7.
Hautière, Nicolas, Raphaël Labayrade, & Didier Aubert. (2006). Estimation of the Visibility Distance by Stereovision : A Generic Approach(Intelligent Transport Systems, Machine Vision Applications). IEICE Transactions on Information and Systems. 89(7). 2084–2091. 4 indexed citations
8.
Labayrade, Raphaël. (2006). A Reliable and Robust Lane Detection System Based on the Parallel Use of Three Algorithms for Driving Safety Assistance. IEICE Transactions on Information and Systems. E89-D(7). 2092–2100. 45 indexed citations
9.
Labayrade, Raphaël, et al.. (2006). A multi-model lane detector that handles road singularities. 1143–1148. 26 indexed citations
10.
Labayrade, Raphaël, et al.. (2005). A reliable road lane detector approach combining two vision-based algorithms. 149–154. 16 indexed citations
11.
Labayrade, Raphaël, et al.. (2005). Cooperative Fusion for Multi-Obstacles Detection With Use of Stereovision and Laser Scanner. Autonomous Robots. 19(2). 117–140. 92 indexed citations
12.
Labayrade, Raphaël, et al.. (2005). A collision mitigation system using laser scanner and stereovision fusion and its assessment. 441–446. 47 indexed citations
13.
Chaibet, Ahmed, Lydie Nouvelière, Saïd Mammar, Mariana Netto, & Raphaël Labayrade. (2005). Backstepping control synthesis for both longitudinal and lateral automated vehicle. 126. 42–47. 6 indexed citations
14.
Hautière, Nicolas, Raphaël Labayrade, & D. Aubert. (2005). Detection of visibility conditions through use of onboard cameras. 115. 193–198. 13 indexed citations
15.
Aubert, Didier & Raphaël Labayrade. (2005). Détection d’obstacles routiers par stéréovision : l’approche « v-disparité ». Annals of Telecommunications. 60(3-4). 299–325.
16.
Labayrade, Raphaël & Didier Aubert. (2004). Robust and Fast Stereovision Based Obstacles Detection for Driving Safety Assistance. IEICE Transactions on Information and Systems. 87(1). 80–88. 11 indexed citations
17.
18.
Tarel, Jean‐Philippe, et al.. (2004). On the design of a single lane-markings detectors regardless the on-board camera's position. 1. 564–569. 31 indexed citations
19.
Labayrade, Raphaël, et al.. (2003). ONBOARD ROAD OBSTACLES DETECTION IN NIGHT CONDITION USING BINOCULAR CCD CAMERAS. 2003. 6 indexed citations
20.
Labayrade, Raphaël & Didier Aubert. (2002). Robust and Fast Stereovision Based Road Obstacles Detection for Driving Safety Assistance.. Machine Vision and Applications. 624–627. 19 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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