Cédric Pradalier

3.0k total citations
112 papers, 1.6k citations indexed

About

Cédric Pradalier is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Cédric Pradalier has authored 112 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 47 papers in Aerospace Engineering and 20 papers in Control and Systems Engineering. Recurrent topics in Cédric Pradalier's work include Robotics and Sensor-Based Localization (42 papers), Robotic Path Planning Algorithms (24 papers) and Advanced Vision and Imaging (18 papers). Cédric Pradalier is often cited by papers focused on Robotics and Sensor-Based Localization (42 papers), Robotic Path Planning Algorithms (24 papers) and Advanced Vision and Imaging (18 papers). Cédric Pradalier collaborates with scholars based in France, Switzerland and United States. Cédric Pradalier's co-authors include Roland Siegwart, Christian Laugier, Ming Liu, François Pomerleau, Pierre Bessìère, Kane Usher, Thierry Fraichard, Laurent Capolungo, S. Sekhavat and Xiaolong Wu and has published in prestigious journals such as Acta Materialia, Limnology and Oceanography and Sensors.

In The Last Decade

Cédric Pradalier

105 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cédric Pradalier France 23 765 664 260 202 183 112 1.6k
Guilherme N. DeSouza United States 14 985 1.3× 727 1.1× 247 0.9× 73 0.4× 49 0.3× 66 1.5k
Yash Mulgaonkar United States 18 959 1.3× 1.2k 1.9× 210 0.8× 50 0.2× 189 1.0× 21 1.6k
Kazunori Ohno Japan 22 784 1.0× 828 1.2× 392 1.5× 78 0.4× 130 0.7× 148 1.6k
Mostafa Hassanalian United States 24 660 0.9× 2.2k 3.3× 273 1.1× 142 0.7× 229 1.3× 180 3.1k
Yicheng Li China 21 975 1.3× 314 0.5× 161 0.6× 500 2.5× 75 0.4× 91 1.9k
Qingqing Dang China 9 700 0.9× 381 0.6× 154 0.6× 48 0.2× 86 0.5× 25 1.6k
Nicolas Vandapel United States 17 745 1.0× 728 1.1× 78 0.3× 169 0.8× 70 0.4× 35 1.5k
François Pomerleau Switzerland 23 999 1.3× 1.4k 2.1× 202 0.8× 54 0.3× 167 0.9× 55 2.2k
Annalisa Milella Italy 21 493 0.6× 416 0.6× 232 0.9× 79 0.4× 45 0.2× 88 1.6k

Countries citing papers authored by Cédric Pradalier

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Pradalier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cédric Pradalier

This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Pradalier. A scholar is included among the top collaborators of Cédric Pradalier 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 Cédric Pradalier. Cédric Pradalier 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.
Pradalier, Cédric, et al.. (2024). Comparing metrics for evaluating 3D map quality in natural environments. Robotics and Autonomous Systems. 173. 104617–104617. 1 indexed citations
2.
3.
Boulêtreau, Stéphanie, Alexandre Bec, Michaël Danger, et al.. (2023). Flow intermittency affects the nutritional quality of phototrophic biofilms and their capacity to support secondary production. Freshwater Biology. 69(1). 84–99. 2 indexed citations
4.
Pradalier, Cédric, et al.. (2023). Deep learning for the detection of semantic features in tree X-ray CT scans. Artificial Intelligence in Agriculture. 7. 13–26. 4 indexed citations
5.
Pradalier, Cédric, et al.. (2022). A data driven approach to generate realistic 3D tree barks. Graphical Models. 123. 101166–101166. 1 indexed citations
6.
Geist, Matthieu, et al.. (2021). Evaluation of Prioritized Deep System Identification on a Path Following Task. Journal of Intelligent & Robotic Systems. 101(4).
7.
Pradalier, Cédric, et al.. (2019). Illumination Robust Monocular Direct Visual Odometry for Outdoor Environment Mapping. 2392–2398. 19 indexed citations
8.
Wu, Xiaolong, et al.. (2019). Design and Implementation of Computer Vision based In-Row Weeding System. SPIRE - Sciences Po Institutional REpository. 4218–4224. 12 indexed citations
9.
Pradalier, Cédric, et al.. (2019). Robust Semi-Direct Monocular Visual Odometry Using Edge and Illumination-Robust Cost. arXiv (Cornell University). 1 indexed citations
10.
Pradalier, Cédric, et al.. (2019). ELF: Embedded Localisation of Features in Pre-Trained CNN. arXiv (Cornell University). 7939–7948. 1 indexed citations
11.
Pradalier, Cédric, et al.. (2018). Trajectory-control using deep System Identication and Model Predictive Control for Drone Control under Uncertain Load.. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
12.
Pradalier, Cédric, et al.. (2018). A Graph Theory-Based Automated Twin Recognition Technique for Electron Backscatter Diffraction Analysis. Integrating materials and manufacturing innovation. 7(1). 12–27. 15 indexed citations
13.
Griffith, Shane, Georges Chahine, & Cédric Pradalier. (2017). Symphony Lake Dataset. The International Journal of Robotics Research. 36(11). 1151–1158. 15 indexed citations
14.
Gmili, Youssef El, Suresh Sundaram, Xiaojian Li, et al.. (2017). Mask effect in nano-selective- area-growth by MOCVD on thickness enhancement, indium incorporation, and emission of InGaN nanostructures on AlN-buffered Si(111) substrates. Optical Materials Express. 7(2). 376–376. 4 indexed citations
15.
Cazau, Dorian, Cédric Pradalier, Julien Bonnel, & Christophe Guinet. (2017). Do Southern Elephant Seals Behave Like Weather Buoys?. Oceanography. 30(2). 140–149. 4 indexed citations
16.
Ma, Wan‐Chun, Daniele Panozzo, Alec Jacobson, et al.. (2017). Rig animation with a tangible and modular input device. interactions. 24(2). 16–17. 1 indexed citations
17.
Griffith, Shane & Cédric Pradalier. (2016). Survey Registration for Long‐Term Natural Environment Monitoring. Journal of Field Robotics. 34(1). 188–208. 8 indexed citations
18.
Sundaram, Suresh, Youssef El Gmili, Cédric Pradalier, et al.. (2016). Single-crystal nanopyramidal BGaN by nanoselective area growth on AlN/Si(111) and GaN templates. Nanotechnology. 27(11). 115602–115602. 2 indexed citations
19.
Pradalier, Cédric, et al.. (2015). A statistical analysis of the influence of microstructure and twin–twin junctions on twin nucleation and twin growth in Zr. Acta Materialia. 95. 399–410. 55 indexed citations
20.
Pradalier, Cédric, Agostino Martinelli, Christian Laugier, & Roland Siegwart. (2008). Journal of Field Robotics - Special Issue on Field and Service Robotics. HAL (Le Centre pour la Communication Scientifique Directe). 118. 2 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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