Amaury Nègre
- Automotive Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Christian LaugierMathias PerrollazJohn-David YoderKamel MekhnachaYong MaoChristopher TayI.E. ParomtchikAnshul Paigwar
- Topics
- Robotics and Sensor-Based Localization (10 papers)Advanced Vision and Imaging (6 papers)Autonomous Vehicle Technology and Safety (4 papers)
- Cited by
- Automotive EngineeringSafety, Risk, Reliability and QualityComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Aerospace and Electronic SystemsJournal of Guidance Control and Dynamics
- Partner nations
- FranceSpainUnited States
In The Last Decade
Amaury Nègre
19 papers receiving 371 citations
Peers
Comparison fields: 5 of 45
- Automotive Engineering 223
- Computer Vision and Pattern Recognition 163
- Aerospace Engineering 92
- Control and Systems Engineering 82
- Safety, Risk, Reliability and Quality 80
Countries citing papers authored by Amaury Nègre
This map shows the geographic impact of Amaury Nègre'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 Amaury Nègre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amaury Nègre more than expected).
Fields of papers citing papers by Amaury Nègre
This network shows the impact of papers produced by Amaury Nègre. 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 Amaury Nègre. The network helps show where Amaury Nègre may publish in the future.
Co-authorship network of co-authors of Amaury Nègre
This figure shows the co-authorship network connecting the top 25 collaborators of Amaury Nègre. A scholar is included among the top collaborators of Amaury Nègre 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 Amaury Nègre. Amaury Nègre 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 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 14 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 52 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 34 | |
| 15 | 3 | |
| 16 | 214 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | Time to contact for obstacle avoidance | 7 |
| 20 | 2 |
About Amaury Nègre
Amaury Nègre is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 21 papers that have together received 382 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers) and Autonomous Vehicle Technology and Safety (4 papers). The work is most often cited by research in Automotive Engineering (223 citations), Safety, Risk, Reliability and Quality (80 citations) and Computer Vision and Pattern Recognition (163 citations). Amaury Nègre has collaborated with scholars based in France, Spain and United States. Frequent co-authors include Christian Laugier, Mathias Perrollaz, John-David Yoder, Kamel Mekhnacha, Yong Mao, Christopher Tay, I.E. Paromtchik, Anshul Paigwar, James L. Crowley and Anne Spalanzani. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Aerospace and Electronic Systems and Journal of Guidance Control and Dynamics.
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.