J.-P. Laumond
- Computer Vision and Pattern Recognition top 2%
- Control and Systems Engineering top 2%
- Aerospace Engineering top 5%
- Biomedical Engineering
- Automotive Engineering top 5%
- Co-authors
- Florent LamirauxS. SekhavatMarilena VendittelliGiuseppe OrioloShankar SastryGregory J. WalshDawn M. TilburyFrédéric Jean
- Topics
- Robotic Path Planning Algorithms (14 papers)Control and Dynamics of Mobile Robots (11 papers)Robotic Mechanisms and Dynamics (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAutomotive Engineering
- Journals
- IEEE Transactions on Automatic ControlIEEE Transactions on Robotics and AutomationIEEE Transactions on Robotics
- Partner nations
- FranceUnited StatesItaly
In The Last Decade
J.-P. Laumond
18 papers receiving 784 citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 649
- Control and Systems Engineering 609
- Aerospace Engineering 206
- Biomedical Engineering 179
- Automotive Engineering 140
Countries citing papers authored by J.-P. Laumond
This map shows the geographic impact of J.-P. Laumond'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 J.-P. Laumond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.-P. Laumond more than expected).
Fields of papers citing papers by J.-P. Laumond
This network shows the impact of papers produced by J.-P. Laumond. 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 J.-P. Laumond. The network helps show where J.-P. Laumond may publish in the future.
Co-authorship network of co-authors of J.-P. Laumond
This figure shows the co-authorship network connecting the top 25 collaborators of J.-P. Laumond. A scholar is included among the top collaborators of J.-P. Laumond 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 J.-P. Laumond. J.-P. Laumond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 29 | |
| 7 | 8 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 33 | |
| 11 | 21 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 96 | |
| 15 | Robot Motion Planning and Controlbreakdown → | 563 |
| 16 | 3 | |
| 17 | 0 | |
| 18 | Nonholonomic motion planning via optimal control | 6 |
| 19 | 7 |
About J.-P. Laumond
J.-P. Laumond is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 854 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (14 papers), Control and Dynamics of Mobile Robots (11 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (649 citations), Control and Systems Engineering (609 citations) and Automotive Engineering (140 citations). J.-P. Laumond has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Florent Lamiraux, S. Sekhavat, Marilena Vendittelli, Giuseppe Oriolo, Shankar Sastry, Gregory J. Walsh, Dawn M. Tilbury, Frédéric Jean, Richard M. Murray and Monique Chyba. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Robotics and Automation and IEEE Transactions on Robotics.
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.