Matthieu Arzel

554 total citations
33 papers, 230 citations indexed

About

Matthieu Arzel is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Matthieu Arzel has authored 33 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Matthieu Arzel's work include Error Correcting Code Techniques (8 papers), Advanced Wireless Communication Techniques (8 papers) and Analog and Mixed-Signal Circuit Design (8 papers). Matthieu Arzel is often cited by papers focused on Error Correcting Code Techniques (8 papers), Advanced Wireless Communication Techniques (8 papers) and Analog and Mixed-Signal Circuit Design (8 papers). Matthieu Arzel collaborates with scholars based in France and Canada. Matthieu Arzel's co-authors include Fabrice Seguin, Cyril Lahuec, Michel Jézéquel, Christophe Jégo, Michel Jézéquel, Warren J. Gross, Hao Lin, Sandrine Vaton, Vincent Gripon and Thomas Hannagan and has published in prestigious journals such as IEEE Transactions on Signal Processing, Optics Express and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Matthieu Arzel

29 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthieu Arzel France 8 165 77 69 39 22 33 230
Xiaoyang Zeng China 10 122 0.7× 50 0.6× 78 1.1× 56 1.4× 73 3.3× 77 300
Kyung Ki Kim United States 10 274 1.7× 36 0.5× 45 0.7× 65 1.7× 18 0.8× 64 373
Ashwin Sanjay Lele United States 9 117 0.7× 44 0.6× 49 0.7× 19 0.5× 34 1.5× 28 210
Maznah Kamat Malaysia 8 77 0.5× 189 2.5× 69 1.0× 21 0.5× 20 0.9× 25 277
S. Palanivel Rajan India 9 92 0.6× 45 0.6× 13 0.2× 54 1.4× 38 1.7× 29 227
Ruzica Jevtić Spain 12 245 1.5× 62 0.8× 42 0.6× 63 1.6× 14 0.6× 25 361
Chit-Kwan Lin United States 10 244 1.5× 112 1.5× 69 1.0× 13 0.3× 15 0.7× 15 316
R. Sakthivel India 10 156 0.9× 48 0.6× 113 1.6× 69 1.8× 33 1.5× 52 319
Ray Bittner United States 9 72 0.4× 161 2.1× 37 0.5× 55 1.4× 52 2.4× 14 306
Joachim Rodrigues Sweden 13 520 3.2× 172 2.2× 28 0.4× 118 3.0× 11 0.5× 54 603

Countries citing papers authored by Matthieu Arzel

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Arzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthieu Arzel

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Arzel. A scholar is included among the top collaborators of Matthieu Arzel 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 Matthieu Arzel. Matthieu Arzel 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.
Müller, Guillaume, et al.. (2024). PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC. SPIRE - Sciences Po Institutional REpository. 1–5.
2.
Arzel, Matthieu, et al.. (2023). Pipelined Architecture for a Semantic Segmentation Neural Network on FPGA. HAL (Le Centre pour la Communication Scientifique Directe). 1–4.
3.
Müller, Guillaume, et al.. (2023). Federated learning compression designed for lightweight communications. SPIRE - Sciences Po Institutional REpository. 1–4.
4.
Gripon, Vincent, et al.. (2022). Rethinking Weight Decay for Efficient Neural Network Pruning. Journal of Imaging. 8(3). 64–64. 15 indexed citations
5.
Gripon, Vincent, et al.. (2019). Budget Restricted Incremental Learning with Pre-Trained Convolutional Neural Networks and Binary Associative Memories. Journal of Signal Processing Systems. 91(9). 1063–1073. 3 indexed citations
6.
Lahuec, Cyril, et al.. (2018). A fully flexible circuit implementation of clique-based neural networks in 65-nm CMOS. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 2 indexed citations
7.
Lahuec, Cyril, et al.. (2018). A Fully Flexible Circuit Implementation of Clique-Based Neural Networks in 65-nm CMOS. IEEE Transactions on Circuits and Systems I Regular Papers. 66(5). 1704–1715. 6 indexed citations
8.
Lahuec, Cyril, et al.. (2017). A 65-nm CMOS 7fJ per synaptic event clique-based neural network in scalable architecture. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 2 indexed citations
9.
Lahuec, Cyril, et al.. (2017). A sub-nJ CMOS ECG classifier for wireless smart sensor. PubMed. 2017. 3840–3843. 6 indexed citations
10.
Arzel, Matthieu, et al.. (2017). A Scaling-Less Newton–Raphson Pipelined Implementation for a Fixed-Point Reciprocal Operator. IEEE Signal Processing Letters. 24(6). 789–793. 5 indexed citations
11.
Lahuec, Cyril, et al.. (2014). Analog encoded neural network for power management in MPSoC. Analog Integrated Circuits and Signal Processing. 81(3). 595–605. 8 indexed citations
12.
Arzel, Matthieu, et al.. (2014). Soft Error Detection and Correction Technique for Radiation Hardening Based on C-element and BICS. IEEE Transactions on Circuits & Systems II Express Briefs. 61(12). 952–956. 23 indexed citations
13.
Vaton, Sandrine, et al.. (2014). High‐speed flow‐based classification on FPGA. International Journal of Network Management. 24(4). 253–271. 5 indexed citations
14.
Lahuec, Cyril, et al.. (2013). Analog implementation of encoded neural networks. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Seguin, Fabrice, et al.. (2013). Study of a cosmic ray impact on combinatorial logic circuits of an 8bit SAR ADC in 65nm CMOS technology. HAL (Le Centre pour la Communication Scientifique Directe). 241–244. 3 indexed citations
16.
Lahuec, Cyril, et al.. (2011). A self-powered telemetry system to estimate the postoperative instability of a knee implant. SPIRE - Sciences Po Institutional REpository.
17.
Arzel, Matthieu, Cyril Lahuec, Christophe Jégo, Warren J. Gross, & Yvain Bruned. (2011). Stochastic Multiple Stream Decoding of Cortex Codes. IEEE Transactions on Signal Processing. 59(7). 3486–3491. 7 indexed citations
18.
Lahuec, Cyril, Matthieu Arzel, Deepak Gupta, et al.. (2010). A Self-Powered Telemetry System to Estimate the Postoperative Instability of a Knee Implant. IEEE Transactions on Biomedical Engineering. 58(3). 822–825. 9 indexed citations
19.
Arzel, Matthieu, Fabrice Seguin, Cyril Lahuec, & Michel Jézéquel. (2006). Semi-iterative analog turbo decoding. 4–4. 4 indexed citations
20.
Arzel, Matthieu, et al.. (2005). Analog Slice Turbo Decoding. HAL (Le Centre pour la Communication Scientifique Directe). 332–335. 7 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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