Léonard Jaillet

2.0k total citations
20 papers, 754 citations indexed

About

Léonard Jaillet is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Molecular Biology. According to data from OpenAlex, Léonard Jaillet has authored 20 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 7 papers in Molecular Biology. Recurrent topics in Léonard Jaillet's work include Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (7 papers) and Protein Structure and Dynamics (6 papers). Léonard Jaillet is often cited by papers focused on Robotic Path Planning Algorithms (11 papers), Robotics and Sensor-Based Localization (7 papers) and Protein Structure and Dynamics (6 papers). Léonard Jaillet collaborates with scholars based in France, Spain and Netherlands. Léonard Jaillet's co-authors include Thierry Siméon, Juan Cortés, Josep M. Porta, Stéphane Redon, O. Bohigas, Minh Khoa Nguyen, Dennis Nieuwenhuisen, M.H. Overmars, J.P. van den Berg and Juan J. Pérez and has published in prestigious journals such as Journal of Computational Chemistry, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Léonard Jaillet

20 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Léonard Jaillet France 14 516 292 279 99 78 20 754
Peixin Qiao China 10 170 0.3× 97 0.3× 167 0.6× 21 0.2× 172 2.2× 22 762
Dehua Zhang China 13 106 0.2× 139 0.5× 35 0.1× 48 0.5× 94 1.2× 72 552
Meng Gao China 9 299 0.6× 107 0.4× 106 0.4× 9 0.1× 104 1.3× 23 564
Meng Ji United States 12 167 0.3× 439 1.5× 139 0.5× 179 1.8× 77 1.0× 23 1.7k
Ileana Streinu United States 17 141 0.3× 103 0.4× 39 0.1× 154 1.6× 19 0.2× 92 967
Zhihao Cai China 15 218 0.4× 346 1.2× 345 1.2× 9 0.1× 53 0.7× 76 711
Huaguo Liang China 20 178 0.3× 108 0.4× 21 0.1× 24 0.2× 144 1.8× 193 1.7k
Zhiqiang Gao China 12 59 0.1× 585 2.0× 98 0.4× 16 0.2× 326 4.2× 35 1.1k
Sridhar Seshagiri United States 17 41 0.1× 997 3.4× 184 0.7× 40 0.4× 133 1.7× 42 1.3k
Eduardo de la Torre Spain 17 116 0.2× 75 0.3× 31 0.1× 61 0.6× 253 3.2× 105 932

Countries citing papers authored by Léonard Jaillet

Since Specialization
Citations

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

Fields of papers citing papers by Léonard Jaillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Léonard Jaillet

This figure shows the co-authorship network connecting the top 25 collaborators of Léonard Jaillet. A scholar is included among the top collaborators of Léonard Jaillet 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 Léonard Jaillet. Léonard Jaillet 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.
Nguyen, Minh Khoa, Léonard Jaillet, & Stéphane Redon. (2019). ART–RRT: As-Rigid-As-Possible search for protein conformational transition paths. Journal of Computer-Aided Molecular Design. 33(8). 705–727. 2 indexed citations
2.
Nguyen, Minh Khoa, Léonard Jaillet, & Stéphane Redon. (2018). Generating conformational transition paths with low potential-energy barriers for proteins. Journal of Computer-Aided Molecular Design. 32(8). 853–867. 4 indexed citations
3.
Nguyen, Minh Khoa, Léonard Jaillet, & Stéphane Redon. (2018). ART‐RRT: As‐Rigid‐As‐Possible exploration of ligand unbinding pathways. Journal of Computational Chemistry. 39(11). 665–678. 15 indexed citations
4.
Nguyen, Minh Khoa, Léonard Jaillet, & Stéphane Redon. (2017). As-Rigid-As-Possible molecular interpolation paths. Journal of Computer-Aided Molecular Design. 31(4). 403–417. 5 indexed citations
5.
Jaillet, Léonard, et al.. (2017). IM-UFF: Extending the universal force field for interactive molecular modeling. Journal of Molecular Graphics and Modelling. 77. 350–362. 38 indexed citations
6.
Jaillet, Léonard, et al.. (2016). Automatic molecular structure perception for the universal force field. Journal of Computational Chemistry. 37(13). 1191–1205. 25 indexed citations
7.
Grudinin, Sergei, et al.. (2014). SAMSON: software for adaptive modeling and simulation of nanosystems. 5. 12 indexed citations
8.
Porta, Josep M., Lluís Ros, O. Bohigas, et al.. (2014). The CUIK Suite: Analyzing the Motion Closed-Chain Multibody Systems. IEEE Robotics & Automation Magazine. 21(3). 105–114. 20 indexed citations
9.
Jaillet, Léonard & Josep M. Porta. (2013). Efficient asymptotically-optimal path planning on manifolds. Robotics and Autonomous Systems. 61(8). 797–807. 10 indexed citations
10.
Porta, Josep M. & Léonard Jaillet. (2012). Exploring the energy landscapes of flexible molecular loops using higher‐dimensional continuation. Journal of Computational Chemistry. 34(3). 234–244. 6 indexed citations
11.
Jaillet, Léonard & Josep M. Porta. (2012). Path Planning Under Kinematic Constraints by Rapidly Exploring Manifolds. IEEE Transactions on Robotics. 29(1). 105–117. 96 indexed citations
12.
Jaillet, Léonard & Josep M. Porta. (2012). Asymptotically-optimal Path Planning on Manifolds. 16 indexed citations
13.
Jaillet, Léonard, et al.. (2011). Randomized tree construction algorithm to explore energy landscapes. Journal of Computational Chemistry. 32(16). 3464–3474. 33 indexed citations
14.
Jaillet, Léonard, Judy Hoffman, Jur van den Berg, et al.. (2011). EG-RRT: Environment-guided random trees for kinodynamic motion planning with uncertainty and obstacles. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 31 indexed citations
15.
Porta, Josep M., Léonard Jaillet, & O. Bohigas. (2011). Randomized path planning on manifolds based on higher-dimensional continuation. The International Journal of Robotics Research. 31(2). 201–215. 24 indexed citations
16.
Jaillet, Léonard, Juan Cortés, & Thierry Siméon. (2010). Sampling-Based Path Planning on Configuration-Space Costmaps. IEEE Transactions on Robotics. 26(4). 635–646. 262 indexed citations
17.
Jaillet, Léonard & Thierry Siméon. (2008). Path Deformation Roadmaps: Compact Graphs with Useful Cycles for Motion Planning. The International Journal of Robotics Research. 27(11-12). 1175–1188. 59 indexed citations
18.
Cortés, Juan, Léonard Jaillet, & Thierry Siméon. (2008). Disassembly Path Planning for Complex Articulated Objects. IEEE Transactions on Robotics. 24(2). 475–481. 35 indexed citations
19.
Cortés, Juan, Léonard Jaillet, & Thierry Siméon. (2007). Molecular Disassembly With Rrt-Like Algorithms. Proceedings - IEEE International Conference on Robotics and Automation/Proceedings. 4. 3301–3306. 31 indexed citations
20.
Berg, J.P. van den, Dennis Nieuwenhuisen, Léonard Jaillet, & M.H. Overmars. (2005). Creating robust roadmaps for motion planning in changing environments. 30 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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