Romuald Aufrère
- Automotive Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Environmental Engineering top 10%
- Co-authors
- Roland ChapuisFrédéric ChausseChristoph MertzC. ThorpeChuck ThorpeChieh‐Chih WangJay GowdyGuillaume Bresson
- Topics
- Autonomous Vehicle Technology and Safety (19 papers)Robotics and Sensor-Based Localization (18 papers)Indoor and Outdoor Localization Technologies (15 papers)
In The Last Decade
Romuald Aufrère
41 papers receiving 611 citations
Peers
Comparison fields: 5 of 61
- Automotive Engineering 347
- Computer Vision and Pattern Recognition 337
- Aerospace Engineering 200
- Electrical and Electronic Engineering 161
- Environmental Engineering 111
Countries citing papers authored by Romuald Aufrère
This map shows the geographic impact of Romuald Aufrère'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 Romuald Aufrère with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romuald Aufrère more than expected).
Fields of papers citing papers by Romuald Aufrère
This network shows the impact of papers produced by Romuald Aufrère. 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 Romuald Aufrère. The network helps show where Romuald Aufrère may publish in the future.
Co-authorship network of co-authors of Romuald Aufrère
This figure shows the co-authorship network connecting the top 25 collaborators of Romuald Aufrère. A scholar is included among the top collaborators of Romuald Aufrère 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 Romuald Aufrère. Romuald Aufrère 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 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 22 | |
| 9 | 11 | |
| 10 | Improving results of rational non-linear observation functions using a Kalman filter correction | 1 |
| 11 | 5 | |
| 12 | 52 | |
| 13 | 31 | |
| 14 | 3 | |
| 15 | 51 | |
| 16 | 19 | |
| 17 | 87 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 4 |
About Romuald Aufrère
Romuald Aufrère is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 41 papers that have together received 661 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (19 papers), Robotics and Sensor-Based Localization (18 papers) and Indoor and Outdoor Localization Technologies (15 papers). The work is most often cited by research in Automotive Engineering (347 citations), Computer Vision and Pattern Recognition (337 citations) and Aerospace Engineering (200 citations). Romuald Aufrère has collaborated with scholars based in France, Argentina and Canada. Frequent co-authors include Roland Chapuis, Frédéric Chausse, Christoph Mertz, C. Thorpe, Chuck Thorpe, Chieh‐Chih Wang, Jay Gowdy, Guillaume Bresson, Christophe Debain and Paul Checchin. 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.