Mathieu Chagnon
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- Optical Network Technologies 118
- Advanced Photonic Communication Systems 79
- Photonic and Optical Devices 58
- Semiconductor Lasers and Optical Devices 33
- Advanced Optical Network Technologies 20
- PAPR reduction in OFDM 6
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- Advanced Fiber Laser Technologies 22
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing 5
- Signal Processing top 10%
- Co-authors
- David V. PlantMohamed Morsy-OsmanFred BuchaliQunbi ZhugeXian XuKarsten SchuhMeng QiuH. Bülow
- Cited by
- Electrical and Electronic EngineeringAtomic and Molecular Physics, and OpticsArtificial Intelligence
In The Last Decade
Mathieu Chagnon
123 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 2.8k
- Atomic and Molecular Physics, and Optics 517
- Artificial Intelligence 282
- Acoustics and Ultrasonics 5
- Signal Processing 49
Countries citing papers authored by Mathieu Chagnon
This map shows the geographic impact of Mathieu Chagnon'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 Mathieu Chagnon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathieu Chagnon more than expected).
Fields of papers citing papers by Mathieu Chagnon
This network shows the impact of papers produced by Mathieu Chagnon. 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 Mathieu Chagnon. The network helps show where Mathieu Chagnon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mathieu Chagnon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 0 | |
| 2 | 2020 | 6 | |
| 3 | 2019 | 34 | |
| 4 | 2018 | 15 | |
| 5 | 2017 | 12 | |
| 6 | Optical communications for long-haul, short-reach, and chip-scale distances enabled by digital signal processing | 2016 | 1 |
| 7 | 2015 | 20 | |
| 8 | 2014 | 21 | |
| 9 | 2014 | 20 | |
| 10 | 2013 | 3 | |
| 11 | 2013 | 15 | |
| 12 | 2013 | 8 | |
| 13 | 2013 | 2 | |
| 14 | 2012 | 5 | |
| 15 | 2012 | 18 | |
| 16 | 2012 | 19 | |
| 17 | 2012 | 34 | |
| 18 | 2012 | 4 | |
| 19 | 2012 | 35 | |
| 20 | 2011 | 14 |
About Mathieu Chagnon
Mathieu Chagnon is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 128 papers that have together received 2.8k indexed citations. Recurring topics across this work include Optical Network Technologies (118 papers), Advanced Photonic Communication Systems (79 papers), Photonic and Optical Devices (58 papers), Semiconductor Lasers and Optical Devices (33 papers), Advanced Fiber Laser Technologies (22 papers), Advanced Optical Network Technologies (20 papers), PAPR reduction in OFDM (6 papers) and Neural Networks and Reservoir Computing (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (2.8k citations), Atomic and Molecular Physics, and Optics (517 citations), Artificial Intelligence (282 citations), Acoustics and Ultrasonics (5 citations) and Signal Processing (49 citations). Mathieu Chagnon has collaborated with scholars based in Canada, Germany and Egypt. Frequent co-authors include David V. Plant, Mohamed Morsy-Osman, Fred Buchali, Qunbi Zhuge, Xian Xu, Karsten Schuh, Meng Qiu, H. Bülow, Alireza Samani and David Patel. Their work appears in journals such as Optics Express, Journal of Lightwave Technology, IEEE Photonics Technology Letters, IEEE photonics journal and IEEE Communications Magazine.
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.