Pierre Duthon

669 total citations
19 papers, 260 citations indexed

About

Pierre Duthon is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Instrumentation. According to data from OpenAlex, Pierre Duthon has authored 19 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 5 papers in Instrumentation. Recurrent topics in Pierre Duthon's work include Advanced Neural Network Applications (6 papers), Advanced Optical Sensing Technologies (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Pierre Duthon is often cited by papers focused on Advanced Neural Network Applications (6 papers), Advanced Optical Sensing Technologies (5 papers) and Autonomous Vehicle Technology and Safety (4 papers). Pierre Duthon collaborates with scholars based in France, United Kingdom and Spain. Pierre Duthon's co-authors include Michèle Colomb, Frédéric Bernardin, You Li, Javier Ibañez‐Guzmán, Louahdi Khoudour, Alain Crouzil, Sergio A. Velastín, Frédéric Chausse, Guillaume Saint Pierre and Najoua Essoukri Ben Amara and has published in prestigious journals such as Sensors, IEEE Transactions on Intelligent Transportation Systems and Applied Sciences.

In The Last Decade

Pierre Duthon

16 papers receiving 249 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Duthon France 9 104 86 72 68 55 19 260
Sinan Hasirlioglu Germany 9 107 1.0× 117 1.4× 99 1.4× 147 2.2× 69 1.3× 14 326
Julien Rebut France 6 107 1.0× 27 0.3× 38 0.5× 53 0.8× 118 2.1× 9 226
Georg Kuschk Germany 10 191 1.8× 36 0.4× 80 1.1× 42 0.6× 172 3.1× 18 337
Gaurav Pandey India 9 330 3.2× 67 0.8× 82 1.1× 28 0.4× 258 4.7× 37 496
Paul Murcutt United Kingdom 4 140 1.3× 46 0.5× 52 0.7× 59 0.9× 198 3.6× 5 314
Conor P. McElhinney Ireland 12 153 1.5× 26 0.3× 274 3.8× 39 0.6× 24 0.4× 26 512
Sungdae Sim South Korea 7 201 1.9× 70 0.8× 99 1.4× 47 0.7× 207 3.8× 16 320
Xinxiang Zhang United States 9 95 0.9× 16 0.2× 11 0.2× 22 0.3× 23 0.4× 24 342
Xuanyu Zhou China 8 295 2.8× 30 0.3× 250 3.5× 53 0.8× 127 2.3× 18 579
Michaël Meyer Germany 8 133 1.3× 35 0.4× 24 0.3× 40 0.6× 129 2.3× 16 255

Countries citing papers authored by Pierre Duthon

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Duthon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Duthon

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

All Works

19 of 19 papers shown
1.
Donzella, Valentina, et al.. (2024). REHEARSE: adveRse wEatHEr datAset for sensoRy noiSe modEls. Warwick Research Archive Portal (University of Warwick). 2451–2457. 4 indexed citations
2.
Bernardin, Frédéric, et al.. (2024). A Comparative Review of the SWEET Simulator: Theoretical Verification Against Other Simulators. Journal of Imaging. 10(12). 306–306.
3.
Chan, Pak Hung, et al.. (2024). Creation of digital models for accelerated and reliable testing of automated systems in adverse weather. Warwick Research Archive Portal (University of Warwick). 4–4.
4.
Duthon, Pierre, et al.. (2023). SWEET: A Realistic Multiwavelength 3D Simulator for Automotive Perceptive Sensors in Foggy Conditions. Journal of Imaging. 9(2). 54–54. 4 indexed citations
5.
Khoudour, Louahdi, et al.. (2023). 3D Object Detection for Self-Driving Cars Using Video and LiDAR: An Ablation Study. Sensors. 23(6). 3223–3223. 7 indexed citations
6.
Duthon, Pierre, et al.. (2023). Qualification of the PAVIN Fog and Rain Platform and Its Digital Twin for the Evaluation of a Pedestrian Detector in Fog. Journal of Imaging. 9(10). 211–211. 1 indexed citations
7.
Duthon, Pierre, et al.. (2023). Production of Artificial Fog in the PAVIN Fog and Rain Platform: In Search of Big Droplets Fog. Atmospheric and Climate Sciences. 14(1). 42–61.
8.
Khoudour, Louahdi, et al.. (2022). Analysis of Thermal Imaging Performance under Extreme Foggy Conditions: Applications to Autonomous Driving. Journal of Imaging. 8(11). 306–306. 19 indexed citations
9.
Duthon, Pierre, et al.. (2022). A review of Cerema PAVIN fog & rain platform: from past and back to the future. HAL (Le Centre pour la Communication Scientifique Directe). 4 indexed citations
10.
Duthon, Pierre, et al.. (2021). 3D Object Detection with SLS-Fusion Network in Foggy Weather Conditions. Sensors. 21(20). 6711–6711. 31 indexed citations
11.
Duthon, Pierre, et al.. (2021). WeatherEye-Proposal of an Algorithm Able to Classify Weather Conditions from Traffic Camera Images. Atmosphere. 12(6). 717–717. 8 indexed citations
12.
Duthon, Pierre, et al.. (2021). Sparse LiDAR and Stereo Fusion (SLS-Fusion) for Depth Estimation and 3D Object Detection. IET conference proceedings.. 2021(1). 150–156. 13 indexed citations
13.
Duthon, Pierre, Michèle Colomb, & Frédéric Bernardin. (2020). Fog Classification by Their Droplet Size Distributions: Application to the Characterization of Cerema’s Platform. Atmosphere. 11(6). 596–596. 15 indexed citations
14.
Li, You, Pierre Duthon, Michèle Colomb, & Javier Ibañez‐Guzmán. (2020). What Happens for a ToF LiDAR in Fog?. IEEE Transactions on Intelligent Transportation Systems. 22(11). 6670–6681. 90 indexed citations
15.
Duthon, Pierre, Michèle Colomb, & Frédéric Bernardin. (2019). Light Transmission in Fog: The Influence of Wavelength on the Extinction Coefficient. Applied Sciences. 9(14). 2843–2843. 32 indexed citations
16.
Duthon, Pierre, Frédéric Bernardin, Frédéric Chausse, & Michèle Colomb. (2018). Benchmark for the robustness of image features in rainy conditions. Machine Vision and Applications. 29(5). 915–927. 5 indexed citations
17.
18.
Duthon, Pierre, et al.. (2016). The Cerema Database : A Specific Database in Adverse Weather Conditions to Evaluate Computer Vision Pedestrian Detectors. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations
19.
Duthon, Pierre, Frédéric Bernardin, Frédéric Chausse, & Michèle Colomb. (2016). Methodology Used to Evaluate Computer Vision Algorithms in Adverse Weather Conditions. Transportation research procedia. 14. 2178–2187. 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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