Roland Chapuis
- Computer Vision and Pattern Recognition top 2%
- Automotive Engineering top 2%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Frédéric ChausseRomuald AufrèrePaul ChecchinDamien VivetAlessandro TibaldiAlberto BroggiA. FascioliMassimo Bertozzi
- Topics
- Robotics and Sensor-Based Localization (34 papers)Indoor and Outdoor Localization Technologies (22 papers)Target Tracking and Data Fusion in Sensor Networks (20 papers)
- Journals
- SensorsThe International Journal of Robotics ResearchIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- FranceArgentinaUnited States
In The Last Decade
Roland Chapuis
69 papers receiving 816 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 498
- Automotive Engineering 346
- Aerospace Engineering 340
- Electrical and Electronic Engineering 242
- Artificial Intelligence 185
Countries citing papers authored by Roland Chapuis
This map shows the geographic impact of Roland Chapuis'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 Roland Chapuis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roland Chapuis more than expected).
Fields of papers citing papers by Roland Chapuis
This network shows the impact of papers produced by Roland Chapuis. 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 Roland Chapuis. The network helps show where Roland Chapuis may publish in the future.
Co-authorship network of co-authors of Roland Chapuis
This figure shows the co-authorship network connecting the top 25 collaborators of Roland Chapuis. A scholar is included among the top collaborators of Roland Chapuis 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 Roland Chapuis. Roland Chapuis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 11 | |
| 9 | 72 | |
| 10 | 7 | |
| 11 | Improving results of rational non-linear observation functions using a Kalman filter correction | 1 |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 2 | |
| 15 | 52 | |
| 16 | 31 | |
| 17 | Centimetric Localisation of a Vehicle by Combining Vision and Low Cost GPS. | 4 |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 10 |
About Roland Chapuis
Roland Chapuis is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Aerospace Engineering, having authored 69 papers that have together received 883 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (34 papers), Indoor and Outdoor Localization Technologies (22 papers) and Target Tracking and Data Fusion in Sensor Networks (20 papers). The work is most often cited by research in Automotive Engineering (346 citations), Computer Vision and Pattern Recognition (498 citations) and Aerospace Engineering (340 citations). Roland Chapuis has collaborated with scholars based in France, Argentina and United States. Frequent co-authors include Frédéric Chausse, Romuald Aufrère, Paul Checchin, Damien Vivet, Alessandro Tibaldi, Alberto Broggi, A. Fascioli, Massimo Bertozzi, Laurent Trassoudaine and Christophe Debain. Their work appears in journals such as Sensors, The International Journal of Robotics Research and IEEE Transactions on Intelligent Transportation Systems.
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.