Matthew Dyson
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
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- EEG and Brain-Computer Interfaces 27
- Neural dynamics and brain function 6
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- Muscle activation and electromyography studies 24
- Advanced Sensor and Energy Harvesting Materials 7
- Co-authors
- Kianoush Nazarpour (23 shared papers)John Q. Gan (11 shared papers)Eoin Thomas (2 shared papers)Maureen Clerc (1 shared paper)Francisco Sepulveda (6 shared papers)Hancong Wu (5 shared papers)Chun Sing Louis Tsui (3 shared papers)Stephen Roberts (4 shared papers)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (5 papers)The Cambridge Law Journal (3 papers)Journal of Neural Engineering (3 papers)JMIR Serious Games (2 papers)Neural Networks (2 papers)
- Partner nations
- United KingdomIrelandUnited States
In The Last Decade
Matthew Dyson
50 papers receiving 476 citations
Peers
Comparison fields: 5 of 69
- Cognitive Neuroscience 333
- Human-Computer Interaction 54
- Cellular and Molecular Neuroscience 170
- Rehabilitation 38
- Biomedical Engineering 219
Countries citing papers authored by Matthew Dyson
This map shows the geographic impact of Matthew Dyson'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 Matthew Dyson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Dyson more than expected).
Fields of papers citing papers by Matthew Dyson
This network shows the impact of papers produced by Matthew Dyson. 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 Matthew Dyson. The network helps show where Matthew Dyson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Dyson, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 86 | |
| 2 | 2018 | 34 | |
| 3 | 2020 | 31 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2008 | 21 | |
| 7 | 2007 | 20 | |
| 8 | 2010 | 17 | |
| 9 | 2009 | 17 | |
| 10 | 2021 | 17 | |
| 11 | 2020 | 15 | |
| 12 | 2010 | 14 | |
| 13 | 2016 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2009 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2021 | 9 | |
| 18 | 2007 | 9 | |
| 19 | 2008 | 9 | |
| 20 | Approximate entropy for EEG-based movement detection | 2008 | 8 |
About Matthew Dyson
Matthew Dyson is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Cellular and Molecular Neuroscience, Law and Artificial Intelligence, having authored 59 papers that have together received 501 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (27 papers), Muscle activation and electromyography studies (24 papers), Neuroscience and Neural Engineering (14 papers), Legal principles and applications (7 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Neural dynamics and brain function (6 papers), Neural Networks and Applications (5 papers) and Stroke Rehabilitation and Recovery (5 papers). The work is most often cited by research in Cognitive Neuroscience (333 citations), Human-Computer Interaction (54 citations), Cellular and Molecular Neuroscience (170 citations), Rehabilitation (38 citations) and Biomedical Engineering (219 citations). Matthew Dyson has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Kianoush Nazarpour, John Q. Gan, Eoin Thomas, Maureen Clerc, Francisco Sepulveda, Hancong Wu, Chun Sing Louis Tsui, Stephen Roberts, Tao Geng and Ji Won Yoon. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, The Cambridge Law Journal, Journal of Neural Engineering, JMIR Serious Games and Neural Networks.
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.