Matthieu Arzel
Impact in
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- Error Correcting Code Techniques
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- Advanced Wireless Communication Techniques
- Advanced Memory and Neural Computing
- Radiation Effects in Electronics
- Optical Network Technologies
- Optical Wireless Communication Technologies
Papers in
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- Advanced Wireless Communication Techniques 8
- Advanced Memory and Neural Computing 6
- Ferroelectric and Negative Capacitance Devices 3
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- Neural Networks and Applications 5
- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Fabrice Seguin (13 shared papers)Cyril Lahuec (18 shared papers)Michel Jézéquel (9 shared papers)Christophe Jégo (3 shared papers)Michel Jézéquel (5 shared papers)Warren J. Gross (2 shared papers)Hao Lin (2 shared papers)Vincent Gripon (4 shared papers)
In The Last Decade
Matthieu Arzel
29 papers receiving 224 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 77
- Electrical and Electronic Engineering 165
- Hardware and Architecture 17
- Artificial Intelligence 69
- Signal Processing 15
Countries citing papers authored by Matthieu Arzel
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
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-authors
The 19 scholars most cited alongside Matthieu Arzel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 29 | |
| 2 | 2014 | 27 | |
| 3 | 2014 | 23 | |
| 4 | 2016 | 18 | |
| 5 | 2022 | 15 | |
| 6 | 2014 | 10 | |
| 7 | 2010 | 9 | |
| 8 | 2014 | 8 | |
| 9 | 2011 | 7 | |
| 10 | 2005 | 7 | |
| 11 | 2016 | 7 | |
| 12 | 2007 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2014 | 5 | |
| 19 | 2004 | 5 | |
| 20 | 2006 | 4 |
About Matthieu Arzel
Matthieu Arzel is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Biomedical Engineering and Signal Processing, having authored 33 papers that have together received 230 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), Error Correcting Code Techniques (8 papers), Advanced Wireless Communication Techniques (8 papers), Advanced Memory and Neural Computing (6 papers), Neural Networks and Applications (5 papers), Advanced Neural Network Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). The work is most often cited by research in Computer Networks and Communications (77 citations), Electrical and Electronic Engineering (165 citations), Hardware and Architecture (17 citations), Artificial Intelligence (69 citations) and Signal Processing (15 citations). Matthieu Arzel has collaborated with scholars based in France and Canada. Frequent co-authors include Fabrice Seguin, Cyril Lahuec, Michel Jézéquel, Christophe Jégo, Michel Jézéquel, Warren J. Gross, Hao Lin, Vincent Gripon, Sandrine Vaton and Thomas Hannagan. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, IEEE Transactions on Signal Processing, Optics Express, IEEE Transactions on Circuits & Systems II Express Briefs and Journal of Lightwave Technology.
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.