Éric Grivel

1.1k total citations
66 papers, 517 citations indexed

About

Éric Grivel is a scholar working on Signal Processing, Computational Mechanics and Artificial Intelligence. According to data from OpenAlex, Éric Grivel has authored 66 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Signal Processing, 17 papers in Computational Mechanics and 16 papers in Artificial Intelligence. Recurrent topics in Éric Grivel's work include Advanced Adaptive Filtering Techniques (17 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers) and Blind Source Separation Techniques (12 papers). Éric Grivel is often cited by papers focused on Advanced Adaptive Filtering Techniques (17 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers) and Blind Source Separation Techniques (12 papers). Éric Grivel collaborates with scholars based in France, Australia and Italy. Éric Grivel's co-authors include Mohamed Najim, Audrey Giremus, M. Gabrea, Roberto Diversi, Roberto Guidorzi, Pierrick Legrand, Nicolaï Christov, Umberto Soverini, Yannick Berthoumieu and Sylvie Renaud and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.

In The Last Decade

Éric Grivel

63 papers receiving 496 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 Grivel France 12 147 133 124 116 110 66 517
Wei Xue China 13 216 1.5× 147 1.1× 92 0.7× 52 0.4× 45 0.4× 62 454
Miloš Brajović Montenegro 12 137 0.9× 109 0.8× 142 1.1× 99 0.9× 47 0.4× 66 495
Luis F. Chaparro United States 12 172 1.2× 59 0.4× 121 1.0× 66 0.6× 98 0.9× 46 529
Yanping Zhu China 12 131 0.9× 81 0.6× 109 0.9× 38 0.3× 209 1.9× 59 526
Athanasios P. Liavas Greece 13 374 2.5× 102 0.8× 255 2.1× 49 0.4× 228 2.1× 40 850
A.A. Beex United States 14 404 2.7× 123 0.9× 322 2.6× 130 1.1× 147 1.3× 101 876
Shing‐Tai Pan Taiwan 11 126 0.9× 120 0.9× 81 0.7× 133 1.1× 31 0.3× 69 414
Weidong Zhou China 13 175 1.2× 154 1.2× 54 0.4× 109 0.9× 69 0.6× 66 461
E.I. Plotkin Canada 11 131 0.9× 60 0.5× 96 0.8× 77 0.7× 82 0.7× 84 446

Countries citing papers authored by Éric Grivel

Since Specialization
Citations

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

Fields of papers citing papers by Éric Grivel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Grivel

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Grivel. A scholar is included among the top collaborators of Éric Grivel 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 Grivel. Éric Grivel 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.
Grivel, Éric, et al.. (2025). Multiscale entropy rates: A study on different stochastic processes. Digital Signal Processing. 165. 105303–105303.
2.
Grivel, Éric, et al.. (2024). Multiscale Entropy Rate: A Variant of the Multiscale Entropy. 2572–2576.
3.
Grivel, Éric, et al.. (2024). Benefits of Zero-Phase or Linear Phase Filters to Design Multiscale Entropy: Theory and Application. Entropy. 26(4). 332–332. 2 indexed citations
4.
Grivel, Éric, et al.. (2023). Combining the global trends of DFA or CDFA of different orders. Digital Signal Processing. 134. 103906–103906. 1 indexed citations
5.
Grivel, Éric, et al.. (2021). Definition of the fluctuation function in the detrended fluctuation analysis and its variants. The European Physical Journal B. 94(11). 3 indexed citations
6.
Grivel, Éric, et al.. (2020). A variable chirp rate stepped frequency linear frequency modulation waveform designed to approximate wideband non-linear radar waveforms. Digital Signal Processing. 109. 102884–102884. 11 indexed citations
7.
Grivel, Éric, et al.. (2020). Diversifying the Processing Chain of the Modified Stepped Frequency Radar Waveform Combined with Pulse Compression Techniques. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 1 indexed citations
8.
Arsac, Laurent M., et al.. (2019). Alterations in heart-brain interactions under mild stress during a cognitive task are reflected in entropy of heart rate dynamics. Scientific Reports. 9(1). 18190–18190. 25 indexed citations
9.
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11.
Giremus, Audrey, et al.. (2016). Bayesian non-parametric methods for dynamic state-noise covariance matrix estimation: Application to target tracking. Signal Processing. 127. 135–150. 12 indexed citations
12.
Giremus, Audrey, et al.. (2016). Multi-target tracking using a PHD-based joint tracking and classification algorithm. 62. 1–6. 13 indexed citations
13.
Ferré, Guillaume, et al.. (2015). Interacting Multiple Model Based Detector to Compensate Power Amplifier Distortions in Cognitive Radio. IEEE Transactions on Communications. 63(5). 1580–1593. 7 indexed citations
14.
Giremus, Audrey, et al.. (2014). On Computing Jeffrey’s Divergence Between Time-Varying Autoregressive Models. IEEE Signal Processing Letters. 22(7). 915–919. 9 indexed citations
15.
Diversi, Roberto, et al.. (2013). Prediction error method to estimate the ar parameters when the AR process is disturbed by a colored noise. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 6143–6147. 2 indexed citations
16.
Grivel, Éric, et al.. (2009). Multichannel AR Parameter Estimation from Noisy Observations As an Errors-In-Variables Issue. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations
17.
Diversi, Roberto, et al.. (2009). Recursive errors-in-variables approach for ar parameter estimation from noisy observations. Application to radar sea clutter rejection. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1. 3401–3404. 3 indexed citations
18.
Grivel, Éric, et al.. (2008). Two Ways to Simulate a Rayleigh Fading Channel Based on a Stochastic Sinusoidal Model. IEEE Signal Processing Letters. 15. 107–110. 9 indexed citations
19.
Grivel, Éric, et al.. (2006). Relevance of H-infinity filtering for speech enhancement. 4. 169–172. 1 indexed citations
20.
Grivel, Éric, M. Gabrea, & Mohamed Najim. (2002). Speech enhancement as a realisation issue. Signal Processing. 82(12). 1963–1978. 14 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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