Vincent Choqueuse

1.7k total citations
35 papers, 1.1k citations indexed

About

Vincent Choqueuse is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Civil and Structural Engineering. According to data from OpenAlex, Vincent Choqueuse has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 16 papers in Control and Systems Engineering and 12 papers in Civil and Structural Engineering. Recurrent topics in Vincent Choqueuse's work include Machine Fault Diagnosis Techniques (16 papers), Structural Health Monitoring Techniques (12 papers) and Blind Source Separation Techniques (7 papers). Vincent Choqueuse is often cited by papers focused on Machine Fault Diagnosis Techniques (16 papers), Structural Health Monitoring Techniques (12 papers) and Blind Source Separation Techniques (7 papers). Vincent Choqueuse collaborates with scholars based in France, China and Algeria. Vincent Choqueuse's co-authors include Mohamed Benbouzid, Yassine Amirat, Elhoussin Elbouchikhi, Gilles Burel, Ludovic Collin, Sylvie Turri, François Auger, Mélanie Marazin, Adel Belouchrani and Stéphane Azou and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Signal Processing and IEEE Transactions on Industry Applications.

In The Last Decade

Vincent Choqueuse

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vincent Choqueuse France 19 711 406 375 214 165 35 1.1k
Xiaoxi Ding China 22 1.3k 1.9× 963 2.4× 200 0.5× 172 0.8× 52 0.3× 100 1.8k
M.J. Devaney United States 16 714 1.0× 378 0.9× 687 1.8× 65 0.3× 40 0.2× 58 1.3k
Xianzhi Wang China 16 977 1.4× 554 1.4× 114 0.3× 130 0.6× 30 0.2× 45 1.3k
Riccardo Rubini Italy 12 1.3k 1.9× 980 2.4× 161 0.4× 75 0.4× 23 0.1× 58 1.5k
Fangyi Wan China 16 368 0.5× 240 0.6× 63 0.2× 100 0.5× 35 0.2× 67 738
Rubén Puche‐Panadero Spain 23 1.9k 2.6× 1.1k 2.7× 579 1.5× 60 0.3× 29 0.2× 80 2.1k
R. Whalley United Kingdom 14 507 0.7× 327 0.8× 86 0.2× 40 0.2× 94 0.6× 95 850
Allahyar Montazeri United Kingdom 17 542 0.8× 164 0.4× 79 0.2× 77 0.4× 60 0.4× 95 833
Frédéric Bonnardot France 11 876 1.2× 627 1.5× 88 0.2× 32 0.1× 98 0.6× 23 1.1k
Mohsen Mojiri Iran 20 1.5k 2.1× 96 0.2× 1.5k 4.0× 47 0.2× 74 0.4× 55 2.0k

Countries citing papers authored by Vincent Choqueuse

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Choqueuse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Choqueuse

This figure shows the co-authorship network connecting the top 25 collaborators of Vincent Choqueuse. A scholar is included among the top collaborators of Vincent Choqueuse 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 Vincent Choqueuse. Vincent Choqueuse 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.
Choqueuse, Vincent, et al.. (2024). MMSE-Driven Signal Constellation Scatterplot Using Neural Networks-Based Nonlinear Equalizers. Journal of Lightwave Technology. 42(20). 7104–7115. 2 indexed citations
2.
3.
Pincemin, Erwan, et al.. (2023). A Comparison of Machine Learning Techniques for Fiber Non-Linearity Compensation: Multilayer Perceptron vs. Learned Digital BackPropagation. SPIRE - Sciences Po Institutional REpository. 1–4. 1 indexed citations
4.
Choqueuse, Vincent, Pierre Granjon, Adel Belouchrani, François Auger, & Mohamed Benbouzid. (2019). Monitoring of Three-Phase Signals Based on Singular-Value Decomposition. IEEE Transactions on Smart Grid. 10(6). 6156–6166. 10 indexed citations
5.
Choqueuse, Vincent, Adel Belouchrani, François Auger, & Mohamed Benbouzid. (2018). Frequency and Phasor Estimations in Three-Phase Systems: Maximum Likelihood Algorithms and Theoretical Performance. IEEE Transactions on Smart Grid. 10(3). 3248–3258. 28 indexed citations
6.
Choqueuse, Vincent, et al.. (2017). Disturbances Classification Based on a Model Order Selection Method for Power Quality Monitoring. IEEE Transactions on Industrial Electronics. 64(12). 9421–9432. 24 indexed citations
7.
Choqueuse, Vincent, et al.. (2017). Maximum-Likelihood Frequency and Phasor Estimations for Electric Power Grid Monitoring. IEEE Transactions on Industrial Informatics. 14(1). 167–177. 33 indexed citations
8.
Elbouchikhi, Elhoussin, Vincent Choqueuse, François Auger, & Mohamed Benbouzid. (2017). Motor Current Signal Analysis Based on a Matched Subspace Detector. IEEE Transactions on Instrumentation and Measurement. 66(12). 3260–3270. 53 indexed citations
9.
Elbouchikhi, Elhoussin, Vincent Choqueuse, & Mohamed Benbouzid. (2016). Induction machine bearing faults detection based on a multi-dimensional MUSIC algorithm and maximum likelihood estimation. ISA Transactions. 63. 413–424. 38 indexed citations
10.
Choqueuse, Vincent, et al.. (2015). Condition Monitoring of Induction Motors Based on Stator Currents Demodulation. International Review of Electrical Engineering (IREE). 10(6). 704–704. 13 indexed citations
11.
Choqueuse, Vincent, et al.. (2014). Estimation of Amplitude, Phase and Unbalance Parameters in Three-phase Systems: Analytical Solutions, Efficient Implementation and Performance Analysis. IEEE Transactions on Signal Processing. 62(16). 4064–4076. 16 indexed citations
12.
Amirat, Yassine, Vincent Choqueuse, & Mohamed Benbouzid. (2013). EEMD-based wind turbine bearing failure detection using the generator stator current homopolar component. Mechanical Systems and Signal Processing. 41(1-2). 667–678. 64 indexed citations
13.
Choqueuse, Vincent, et al.. (2012). Current Frequency Spectral Subtraction and Its Contribution to Induction Machines’ Bearings Condition Monitoring. IEEE Transactions on Energy Conversion. 28(1). 135–144. 82 indexed citations
14.
Choqueuse, Vincent, Mohamed Benbouzid, Yassine Amirat, & Sylvie Turri. (2011). Diagnosis of Three-Phase Electrical Machines Using Multidimensional Demodulation Techniques. IEEE Transactions on Industrial Electronics. 59(4). 2014–2023. 96 indexed citations
15.
16.
Amirat, Yassine, Vincent Choqueuse, & Mohamed Benbouzid. (2010). Wind turbines condition monitoring and fault diagnosis using generator current amplitude demodulation. 310–315. 32 indexed citations
17.
Choqueuse, Vincent, et al.. (2010). Blind Channel Estimation for STBC Systems Using Higher-Order Statistics. IEEE Transactions on Wireless Communications. 10(2). 495–505. 45 indexed citations
18.
Choqueuse, Vincent, et al.. (2009). BLIND MODULATION RECOGNITION FOR MIMO SYSTEMS. 59 indexed citations
19.
Choqueuse, Vincent, et al.. (2008). Blind detection of the number of communication signals under spatially correlated noise by ICA and K-S tests. Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. 140. 2397–2400. 8 indexed citations
20.
Lemaire, Vincent, et al.. (2006). Individualized HRTFs from few measurements: a statistical learning approach. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 4. 2041–2046. 15 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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