Amaury Nègre

818 total citations
21 papers, 382 citations indexed

About

Amaury Nègre is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Amaury Nègre has authored 21 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Automotive Engineering. Recurrent topics in Amaury Nègre's work include Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers) and Autonomous Vehicle Technology and Safety (4 papers). Amaury Nègre is often cited by papers focused on Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers) and Autonomous Vehicle Technology and Safety (4 papers). Amaury Nègre collaborates with scholars based in France, Spain and United States. Amaury Nègre's co-authors include Christian Laugier, Mathias Perrollaz, John-David Yoder, Christopher Tay, Yong Mao, I.E. Paromtchik, Kamel Mekhnacha, Anshul Paigwar, James L. Crowley and Anne Spalanzani and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Aerospace and Electronic Systems and Journal of Guidance Control and Dynamics.

In The Last Decade

Amaury Nègre

19 papers receiving 371 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amaury Nègre France 8 223 163 92 82 80 21 382
Kyounghwan An South Korea 8 185 0.8× 215 1.3× 104 1.1× 81 1.0× 53 0.7× 10 423
Chiyu Dong United States 11 303 1.4× 194 1.2× 93 1.0× 156 1.9× 53 0.7× 15 432
Benjamin Caine Germany 2 213 1.0× 157 1.0× 46 0.5× 53 0.6× 76 0.9× 2 347
Yihuan Zhang China 11 257 1.2× 159 1.0× 120 1.3× 113 1.4× 28 0.3× 24 505
Fabian Poggenhans Germany 8 212 1.0× 198 1.2× 160 1.7× 61 0.7× 28 0.3× 11 400
Chunzhao Guo Japan 13 343 1.5× 380 2.3× 125 1.4× 68 0.8× 32 0.4× 43 611
Min-Chul Lee South Korea 12 220 1.0× 131 0.8× 70 0.8× 82 1.0× 36 0.5× 30 463
Florian Homm Germany 4 226 1.0× 111 0.7× 70 0.8× 85 1.0× 35 0.4× 4 321
Hossein Tehrani Japan 10 157 0.7× 155 1.0× 114 1.2× 71 0.9× 25 0.3× 20 321
Antonio Artuñedo Spain 14 279 1.3× 196 1.2× 67 0.7× 150 1.8× 33 0.4× 35 428

Countries citing papers authored by Amaury Nègre

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Durand, Sylvain, et al.. (2025). Guaranteed Self‐Triggered Control of Disturbed Systems: A Set Invariance Approach. International Journal of Robust and Nonlinear Control. 35(15). 6429–6443.
2.
Meslem, Nacim, et al.. (2024). Magnus-Effect Winged Hybrid UAV System: Improved Energy Efficient and Autonomy Through Control Allocation Strategy. IEEE Transactions on Aerospace and Electronic Systems. 61(2). 1610–1629.
3.
Nègre, Amaury, et al.. (2023). Synchronization of a New Light-Flashing Shield With an External-Triggered Camera. IEEE Sensors Letters. 7(8). 1–4. 1 indexed citations
4.
Nègre, Amaury, et al.. (2023). Indoor and outdoor in-flight odometry based solely on optic flows with oscillatory trajectories. International Journal of Micro Air Vehicles. 15. 8 indexed citations
5.
Nègre, Amaury, et al.. (2022). Minimalistic in-flight odometry based on two optic flow sensors along a bouncing trajectory. 2022 22nd International Conference on Control, Automation and Systems (ICCAS). 1321–1326. 1 indexed citations
6.
Meslem, Nacim, et al.. (2021). Tethered Drone-Based Airborne Wind Energy System Launching and Retrieving. Journal of Guidance Control and Dynamics. 44(12). 2284–2293. 5 indexed citations
7.
Nègre, Amaury, et al.. (2021). Onboard dynamic RGB‐D simultaneous localization and mapping for mobile robot navigation. ETRI Journal. 43(4). 617–629. 9 indexed citations
8.
Rombaut, Michèle, et al.. (2020). Speed and Memory Efficient Dense RGB-D SLAM in Dynamic Scenes. SPIRE - Sciences Po Institutional REpository. 4996–5001. 14 indexed citations
9.
Nègre, Amaury, et al.. (2019). A Coarse and Relevant 3D Representation for Fast and Lightweight RGB-D Mapping. HAL (Le Centre pour la Communication Scientifique Directe). 824–831. 2 indexed citations
10.
Rombaut, Michèle, et al.. (2019). A Coarse and Relevant 3D Representation for Fast and Lightweight RGB-D Mapping. 3 indexed citations
11.
Paigwar, Anshul, et al.. (2017). Ground estimation and point cloud segmentation using SpatioTemporal Conditional Random Field. HAL (Le Centre pour la Communication Scientifique Directe). 1105–1110. 52 indexed citations
12.
Puschini, Diego, et al.. (2015). Intelligent Vehicle Perception. HAL (Le Centre pour la Communication Scientifique Directe). 7–12. 5 indexed citations
13.
Nègre, Amaury, et al.. (2015). HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot. 1–6. 3 indexed citations
14.
Nègre, Amaury, et al.. (2015). Integration of ADAS algorithm into an experimental vehicle. 1–6. 1 indexed citations
15.
Perrollaz, Mathias, John-David Yoder, Amaury Nègre, Anne Spalanzani, & Christian Laugier. (2012). A Visibility-Based Approach for Occupancy Grid Computation in Disparity Space. IEEE Transactions on Intelligent Transportation Systems. 13(3). 1383–1393. 34 indexed citations
16.
Laugier, Christian, I.E. Paromtchik, Mathias Perrollaz, et al.. (2011). Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety. IEEE Intelligent Transportation Systems Magazine. 3(4). 4–19. 214 indexed citations
17.
Paromtchik, I.E., Christian Laugier, Mathias Perrollaz, et al.. (2010). The ArosDyn project: Robust analysis of dynamic scenes. 1403–1409. 2 indexed citations
18.
Alenyà, Guillem, Amaury Nègre, & James L. Crowley. (2009). A comparison of three methods for measure of Time to Contact. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 4565–4570. 16 indexed citations
19.
Nègre, Amaury, et al.. (2009). Time to contact for obstacle avoidance. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 19–24. 7 indexed citations
20.
Nègre, Amaury, Cédric Pradalier, & Matthew Dunbabin. (2008). Robust vision‐based underwater homing using self‐similar landmarks. Journal of Field Robotics. 25(6-7). 360–377. 2 indexed citations

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.

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