R. Piguet
- Biomedical Engineering top 10%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering top 10%
- Social Psychology top 10%
- Co-authors
- Roland SiegwartT. EstierMichel LauriaPierre LamonSamir BouabdallahDaniel BurnierBertrand MerminodKai O. Arras
- Topics
- Robotic Path Planning Algorithms (6 papers)Modular Robots and Swarm Intelligence (4 papers)Robotics and Sensor-Based Localization (4 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionBiomedical Engineering
- Journals
- Robotics and Autonomous SystemsInfoscience (Ecole Polytechnique Fédérale de Lausanne)Repository for Publications and Research Data (ETH Zurich)
- Partner nations
- Switzerland
In The Last Decade
R. Piguet
11 papers receiving 515 citations
Peers
Comparison fields: 5 of 48
- Biomedical Engineering 264
- Control and Systems Engineering 262
- Computer Vision and Pattern Recognition 217
- Mechanical Engineering 166
- Social Psychology 101
Countries citing papers authored by R. Piguet
This map shows the geographic impact of R. Piguet'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 R. Piguet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Piguet more than expected).
Fields of papers citing papers by R. Piguet
This network shows the impact of papers produced by R. Piguet. 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 R. Piguet. The network helps show where R. Piguet may publish in the future.
Co-authorship network of co-authors of R. Piguet
This figure shows the co-authorship network connecting the top 25 collaborators of R. Piguet. A scholar is included among the top collaborators of R. Piguet 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 R. Piguet. R. Piguet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 171 | |
| 3 | 17 | |
| 4 | Building a Fully Autonomous Tour Guide Robot: Where Academic Research Meets Industry | 4 |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 189 | |
| 8 | 47 | |
| 9 | Innovative Concept for Wheeled Locomotion in Rough Terrain | 2 |
| 10 | Shrimp, a Rover Architecture for Long Range Martian Mission | 10 |
| 11 | 98 |
About R. Piguet
R. Piguet is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 569 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Control and Systems Engineering (262 citations), Computer Vision and Pattern Recognition (217 citations) and Biomedical Engineering (264 citations). R. Piguet has collaborated with scholars based in Switzerland. Frequent co-authors include Roland Siegwart, T. Estier, Michel Lauria, Pierre Lamon, Samir Bouabdallah, Daniel Burnier, Bertrand Merminod, Kai O. Arras, Nicola Tomatis and Roland Philippsen. Their work appears in journals such as Robotics and Autonomous Systems, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and Repository for Publications and Research Data (ETH Zurich).
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.