Julien Lenoir
- Biomedical Engineering
- Surgery
- Computer Vision and Pattern Recognition top 10%
- Computational Mechanics top 10%
- Mechanical Engineering
- Co-authors
- Christian DuriezStéphane CotinPaul NeumannChristophe ChaillouPhilippe MeseureSamantha L. DawsonLaurent GrisoniLydéric France
- Topics
- 3D Shape Modeling and Analysis (7 papers)Advanced Numerical Analysis Techniques (6 papers)Human Motion and Animation (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Partner nations
- United StatesFrance
In The Last Decade
Julien Lenoir
10 papers receiving 320 citations
Peers
Comparison fields: 5 of 44
- Biomedical Engineering 153
- Surgery 115
- Computer Vision and Pattern Recognition 86
- Computational Mechanics 85
- Mechanical Engineering 77
Countries citing papers authored by Julien Lenoir
This map shows the geographic impact of Julien Lenoir'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 Julien Lenoir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julien Lenoir more than expected).
Fields of papers citing papers by Julien Lenoir
This network shows the impact of papers produced by Julien Lenoir. 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 Julien Lenoir. The network helps show where Julien Lenoir may publish in the future.
Co-authorship network of co-authors of Julien Lenoir
This figure shows the co-authorship network connecting the top 25 collaborators of Julien Lenoir. A scholar is included among the top collaborators of Julien Lenoir 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 Julien Lenoir. Julien Lenoir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Accelerating Surgical Simulation Development via OpenSurgSim: Burr Hole Trainer. | 1 |
| 3 | 6 | |
| 4 | 75 | |
| 5 | Physics-based models for catheter, guidewire and stent simulation. | 8 |
| 6 | 89 | |
| 7 | 61 | |
| 8 | 28 | |
| 9 | 10 | |
| 10 | 38 | |
| 11 | 7 |
About Julien Lenoir
Julien Lenoir is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Conservation, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Advanced Numerical Analysis Techniques (6 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (41 citations), Computer Vision and Pattern Recognition (86 citations) and Computational Mechanics (85 citations). Julien Lenoir has collaborated with scholars based in United States and France. Frequent co-authors include Christian Duriez, Stéphane Cotin, Paul Neumann, Christophe Chaillou, Philippe Meseure, Samantha L. Dawson, Laurent Grisoni, Lydéric France, François Fauré and Marie‐Paule Cani. Their work appears in journals such as Medical Image Analysis, Lecture notes in computer science and Computers & Graphics.
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.