Pierrick Legrand

924 total citations
58 papers, 403 citations indexed

About

Pierrick Legrand is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Pierrick Legrand has authored 58 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in Pierrick Legrand's work include Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Complex Systems and Time Series Analysis (11 papers). Pierrick Legrand is often cited by papers focused on Evolutionary Algorithms and Applications (15 papers), Metaheuristic Optimization Algorithms Research (14 papers) and Complex Systems and Time Series Analysis (11 papers). Pierrick Legrand collaborates with scholars based in France, Mexico and Luxembourg. Pierrick Legrand's co-authors include Leonardo Trujillo, Jacques Lévy Véhel, Pierre Del Moral, Carlos A. Coello Coello, Éric Grivel, Pascal Bouvry, Évelyne Lutton, Gustavo Olague, Marie Chavent and Pierre Collet and has published in prestigious journals such as Optics Express, Information Sciences and Applied Soft Computing.

In The Last Decade

Pierrick Legrand

53 papers receiving 383 citations

Peers

Pierrick Legrand

CVPR

CTM

István Dénes Germany

Hong He China

Lipo Wang Singapore

M.A. Jabri Australia

S.D. Katebi Iran

Hongtao Liang China

Junying Zhang China

Mathias Lechner Austria

C. Gielen Netherlands

Indu Saini India

István Dénes Germany

Pierrick Legrand

148 ×1.1

36 ×0.5

99 ×1.4

CVPR

20 ×0.3

CTM

57 ×1.3

Citations per year, relative to Pierrick Legrand Pierrick Legrand (= 1×) peers István Dénes

Countries citing papers authored by Pierrick Legrand

Since Specialization

Citations

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

Fields of papers citing papers by Pierrick Legrand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierrick Legrand

This figure shows the co-authorship network connecting the top 25 collaborators of Pierrick Legrand. A scholar is included among the top collaborators of Pierrick Legrand 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 Pierrick Legrand. Pierrick Legrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Grivel, Éric, et al.. (2025). Multiscale entropy rates: A study on different stochastic processes. Digital Signal Processing. 165. 105303–105303.

Legrand, Pierrick, et al.. (2024). Evaluation of Real-Time Aliasing Reduction Methods in Neural Networks for Nonlinear Audio Effects Modelling. Journal of the Audio Engineering Society. 72(3). 114–122. 2 indexed citations

Grivel, Éric, et al.. (2024). Multiscale Entropy Rate: A Variant of the Multiscale Entropy. 2572–2576.

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

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

Legrand, Pierrick, et al.. (2022). Frequency Fitting Optimization Using Evolutionary Algorithm in Cochlear Implant Users with Bimodal Binaural Hearing. Brain Sciences. 12(2). 253–253. 4 indexed citations

Legrand, Pierrick, et al.. (2022). A Review of Neural Network-Based Emulation of Guitar Amplifiers. Applied Sciences. 12(12). 5894–5894. 6 indexed citations

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

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

10.

Trujillo, Leonardo, et al.. (2018). Applying genetic improvement to a genetic programming library in C++. Soft Computing. 23(22). 11593–11609. 6 indexed citations

11.

Diaz-Ramirez, Víctor H., et al.. (2018). Design of estimators for restoration of images degraded by haze using genetic programming. Swarm and Evolutionary Computation. 44. 49–63. 9 indexed citations

12.

Emmerich, Michael, et al.. (2017). EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII. Studies in computational intelligence. 5 indexed citations

13.

Trujillo, Leonardo, et al.. (2016). Evolving genetic programming classifiers with novelty search. Information Sciences. 369. 347–367. 10 indexed citations

14.

Trujillo, Leonardo, et al.. (2016). NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Springer eBooks. 3 indexed citations

15.

Trujillo, Leonardo, et al.. (2016). Regularity and Matching Pursuit feature extraction for the detection of epileptic seizures. Journal of Neuroscience Methods. 266. 107–125. 18 indexed citations

16.

Bonnevay, Stéphane, Pierrick Legrand, Nicolas Monmarché, Évelyne Lutton, & Marc Schoenauer. (2016). Artificial Evolution. Lecture notes in computer science. 1 indexed citations

17.

Trujillo, Leonardo, et al.. (2016). Comparison of Local Feature Extraction Paradigms Applied to Visual SLAM. Computación y Sistemas. 20(4). 1 indexed citations

18.

Emmerich, Michael, André Deutz, Thomas Bäck, et al.. (2013). EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. Advances in intelligent systems and computing. 9 indexed citations

19.

Trujillo, Leonardo, Gustavo Olague, Pierrick Legrand, & Évelyne Lutton. (2007). Regularity based descriptor computed from local image oscillations. Optics Express. 15(10). 6140–6140. 12 indexed citations

20.

Legrand, Pierrick & Jacques Lévy Véhel. (2003). Local regularity-based interpolation. HAL (Le Centre pour la Communication Scientifique Directe). 5207. 4 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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