Éric Chaumette

1.4k total citations
118 papers, 946 citations indexed

About

Éric Chaumette is a scholar working on Signal Processing, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Éric Chaumette has authored 118 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Signal Processing, 56 papers in Aerospace Engineering and 41 papers in Artificial Intelligence. Recurrent topics in Éric Chaumette's work include Direction-of-Arrival Estimation Techniques (57 papers), Target Tracking and Data Fusion in Sensor Networks (39 papers) and GNSS positioning and interference (30 papers). Éric Chaumette is often cited by papers focused on Direction-of-Arrival Estimation Techniques (57 papers), Target Tracking and Data Fusion in Sensor Networks (39 papers) and GNSS positioning and interference (30 papers). Éric Chaumette collaborates with scholars based in France, Germany and United States. Éric Chaumette's co-authors include François Vincent, Pascal Larzabal, Jordi Vilà‐Valls, P. Larzabal, Alexandre Renaux, Olivier Besson, Philippe Forster, Pau Closas, Daniel Medina and Ulrich Nickel and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Information Theory and Automatica.

In The Last Decade

Éric Chaumette

102 papers receiving 913 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Chaumette France 16 474 442 287 262 166 118 946
François Vincent France 16 482 1.0× 408 0.9× 161 0.6× 213 0.8× 119 0.7× 85 903
Pascal Larzabal France 16 288 0.6× 486 1.1× 139 0.5× 194 0.7× 88 0.5× 83 749
Minli Yao China 18 492 1.0× 184 0.4× 193 0.7× 564 2.2× 224 1.3× 83 1.2k
P. Larzabal France 16 430 0.9× 488 1.1× 168 0.6× 140 0.5× 72 0.4× 62 903
Alexandre Renaux France 15 271 0.6× 410 0.9× 119 0.4× 163 0.6× 81 0.5× 52 618
I. Vaughan L. Clarkson Australia 16 268 0.6× 167 0.4× 174 0.6× 352 1.3× 173 1.0× 77 817
Philippe Forster France 19 749 1.6× 754 1.7× 210 0.7× 215 0.8× 153 0.9× 83 1.4k
Chaohuan Hou China 20 577 1.2× 622 1.4× 178 0.6× 193 0.7× 73 0.4× 103 1.2k
D. Weiner United States 17 877 1.9× 516 1.2× 205 0.7× 372 1.4× 174 1.0× 81 1.6k
Sylvie Marcos France 20 592 1.2× 1.1k 2.4× 180 0.6× 377 1.4× 84 0.5× 107 1.4k

Countries citing papers authored by Éric Chaumette

Since Specialization
Citations

This map shows the geographic impact of Éric Chaumette'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 Éric Chaumette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Éric Chaumette more than expected).

Fields of papers citing papers by Éric Chaumette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Éric Chaumette. 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 Éric Chaumette. The network helps show where Éric Chaumette may publish in the future.

Co-authorship network of co-authors of Éric Chaumette

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Chaumette. A scholar is included among the top collaborators of Éric Chaumette 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 Éric Chaumette. Éric Chaumette 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.
Chaumette, Éric, et al.. (2024). Kalman filter for radio source power and direction of arrival estimation. EURASIP Journal on Advances in Signal Processing. 2024(1). 2 indexed citations
2.
Renaux, Alexandre, et al.. (2024). Cramér-Rao Bound for Lie Group Parameter Estimation With Euclidean Observations and Unknown Covariance Matrix. IEEE Transactions on Signal Processing. 73. 130–141. 1 indexed citations
3.
Renaux, Alexandre, et al.. (2024). An Intrinsic Modified Cramér-Rao Bound on Lie Groups. SPIRE - Sciences Po Institutional REpository. 1–8.
4.
Vincent, François, et al.. (2023). Approximate maximum likelihood time-delay estimation for two closely spaced sources. Signal Processing. 210. 109056–109056. 4 indexed citations
5.
Renaux, Alexandre, et al.. (2023). Barankin, McAulay–Seidman and Cramér–Rao bounds on matrix Lie groups. Automatica. 156. 111199–111199. 5 indexed citations
6.
Vincent, François, et al.. (2023). Performance of Orbital Rendezvous Radar. SPIRE - Sciences Po Institutional REpository.
7.
Vilà‐Valls, Jordi, et al.. (2023). On GNSS Synchronization Performance Degradation under Interference Scenarios: Bias and Misspecified Cramér-Rao Bounds. NAVIGATION Journal of the Institute of Navigation. 70(4). navi.606–navi.606. 8 indexed citations
8.
Vincent, François, et al.. (2023). Improved post detection integration. Signal Processing. 213. 109195–109195.
9.
Vincent, François, et al.. (2023). An Improved Fast Estimation of Single Frequency. IEEE Signal Processing Letters. 30. 1222–1226. 2 indexed citations
10.
Vilà‐Valls, Jordi, et al.. (2022). Multipath Estimating Techniques Performance Analysis. 2022 IEEE Aerospace Conference (AERO). 1–6.
11.
Chaumette, Éric, et al.. (2022). Clock and Power-Induced Bias Correction for UWB Time-of-Flight Measurements. IEEE Robotics and Automation Letters. 7(2). 2431–2438. 15 indexed citations
12.
Vilà‐Valls, Jordi, et al.. (2021). On the Impact and Mitigation of Signal Crosstalk in Ground-Based and Low Altitude Airborne GNSS-R. Remote Sensing. 13(6). 1085–1085. 2 indexed citations
13.
Vilà‐Valls, Jordi, et al.. (2021). Insights on the Estimation Performance of GNSS-R Coherent and Noncoherent Processing Schemes. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 2 indexed citations
14.
Chaumette, Éric, et al.. (2018). On LMVDR Estimators for LDSS Models: Conditions for Existence and Further Applications. IEEE Transactions on Automatic Control. 64(6). 2598–2605. 11 indexed citations
15.
Chaumette, Éric, François Vincent, & Guillaume Ginolhac. (2018). Detection of Swerling III-IV rank-one signals in Gaussian noise with unknown statistics. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 2072–2076. 3 indexed citations
16.
Chaumette, Éric, Alexandre Renaux, & Mohammed Nabil El Korso. (2017). A Class of Weiss–Weinstein Bounds and Its Relationship With the Bobrovsky–Mayer-Wolf–Zakaï Bounds. IEEE Transactions on Information Theory. 63(4). 2226–2240. 11 indexed citations
17.
Sahmoudi, M., et al.. (2015). Robust GNSS Navigation in Urban Environments by Bounding NLOS Bias of GNSS Pseudoranges Using a 3D City Model. 2410–2420. 12 indexed citations
18.
Nickel, Ulrich, Éric Chaumette, & Pascal Larzabal. (2009). Characterization of the performance of generalized monopulse estimation. 1–6. 1 indexed citations
19.
Chaumette, Éric & Pascal Larzabal. (2004). Optimal monopulse tracking of signal source of unknown amplitude. European Signal Processing Conference. 1445–1448. 1 indexed citations
20.
Chaumette, Éric, et al.. (1993). ICA-based technique for radiating sources estimation: application to airport surveillance. IEE Proceedings F Radar and Signal Processing. 140(6). 395–395. 35 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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