Matthew Dyson

898 total citations
59 papers, 501 citations indexed

About

Matthew Dyson is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Matthew Dyson has authored 59 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 24 papers in Biomedical Engineering and 14 papers in Cellular and Molecular Neuroscience. Recurrent topics in Matthew Dyson's work include EEG and Brain-Computer Interfaces (27 papers), Muscle activation and electromyography studies (24 papers) and Neuroscience and Neural Engineering (14 papers). Matthew Dyson is often cited by papers focused on EEG and Brain-Computer Interfaces (27 papers), Muscle activation and electromyography studies (24 papers) and Neuroscience and Neural Engineering (14 papers). Matthew Dyson collaborates with scholars based in United Kingdom, Ireland and United States. Matthew Dyson's 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 and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Matthew Dyson

50 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Dyson United Kingdom 13 333 219 170 54 50 59 501
Enrique Hortal Spain 12 392 1.2× 172 0.8× 202 1.2× 108 2.0× 51 1.0× 35 552
Florin Popescu Romania 9 583 1.8× 142 0.6× 281 1.7× 93 1.7× 115 2.3× 34 726
Keun-Tae Kim South Korea 11 398 1.2× 148 0.7× 220 1.3× 158 2.9× 86 1.7× 32 482
Deren Y. Barsakcioglu United Kingdom 12 318 1.0× 279 1.3× 201 1.2× 40 0.7× 115 2.3× 22 456
Sidharth Pancholi India 12 200 0.6× 271 1.2× 102 0.6× 82 1.5× 29 0.6× 22 385
Mahdi Khezri Iran 9 288 0.9× 326 1.5× 110 0.6× 108 2.0× 13 0.3× 11 452
Martin Rohm Germany 6 364 1.1× 155 0.7× 229 1.3× 111 2.1× 77 1.5× 11 449
Aberham Genetu Feleke China 8 228 0.7× 279 1.3× 74 0.4× 77 1.4× 27 0.5× 15 419
Michele Tavella Switzerland 8 353 1.1× 67 0.3× 212 1.2× 131 2.4× 73 1.5× 13 395
Pitshaporn Leelaarporn Germany 10 305 0.9× 99 0.5× 79 0.5× 73 1.4× 40 0.8× 14 534

Countries citing papers authored by Matthew Dyson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Dyson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Dyson. A scholar is included among the top collaborators of Matthew Dyson 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 Matthew Dyson. Matthew Dyson 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.
Nazarpour, Kianoush, et al.. (2023). Delaying feedback during pre-device training facilitates the retention of novel myoelectric skills: a laboratory and home-based study. Journal of Neural Engineering. 20(3). 36008–36008. 4 indexed citations
2.
Webb, Lynda, et al.. (2022). Towards User-Centred Prosthetics Research Beyond the Laboratory. Frontiers in Neuroscience. 16. 863833–863833. 3 indexed citations
3.
Dyson, Matthew. (2022). Explaining Tort and Crime. Cambridge University Press eBooks.
4.
Desmond, Deirdre, Maggie Donovan‐Hall, Matthew Dyson, et al.. (2021). Co-Creation Facilitates Translational Research on Upper Limb Prosthetics. SHILAP Revista de lepidopterología. 3(2). 110–118. 9 indexed citations
5.
Dyson, Matthew, et al.. (2021). Serious Games Are Not Serious Enough for Myoelectric Prosthetics. JMIR Serious Games. 9(4). e28079–e28079. 17 indexed citations
6.
Dyson, Matthew, Agamemnon Krasoulis, Laurence Kenney, et al.. (2021). Co-creation and User Perspectives for Upper Limb Prosthetics. Frontiers in Neurorobotics. 15. 689717–689717. 11 indexed citations
7.
Nazarpour, Kianoush, et al.. (2021). Long-Term Myoelectric Training with Delayed Feedback in the Home Environment. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6437–6440. 1 indexed citations
8.
Head, John, et al.. (2021). Remote creation of clinical-standard myoelectric trans-radial bypass sockets during COVID-19. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 6500–6503. 1 indexed citations
9.
Nazarpour, Kianoush, et al.. (2021). 3D-Printing and Upper-Limb Prosthetic Sockets: Promises and Pitfalls. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 527–535. 26 indexed citations
10.
Dyson, Matthew, et al.. (2020). Perception of Game-Based Rehabilitation in Upper Limb Prosthetic Training: Survey of Users and Researchers. JMIR Serious Games. 9(1). e23710–e23710. 15 indexed citations
11.
Dyson, Matthew, et al.. (2020). Learning, Generalization, and Scalability of Abstract Myoelectric Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 28(7). 1539–1547. 31 indexed citations
12.
Dyson, Matthew, et al.. (2018). Myoelectric control with abstract decoders. Journal of Neural Engineering. 15(5). 56003–56003. 34 indexed citations
13.
Dyson, Matthew, et al.. (2016). Comparison of hand and forearm muscle pairs in controlling of a novel myoelectric interface. Newcastle University ePrints (Newcastle Univesity). 2846–2849. 12 indexed citations
14.
Dyson, Matthew, Eoin Thomas, Laurence Casini, & Borı́s Burle. (2015). Online extraction and single trial analysis of regions contributing to erroneous feedback detection. NeuroImage. 121. 146–158. 6 indexed citations
15.
Dyson, Matthew, Christopher J.E. Watson, Kathleen Liddell, et al.. (2015). Transplanting suboptimum organs: medico-legal implications. The Lancet. 386(9995). 719–721. 2 indexed citations
16.
Dyson, Matthew. (2014). The Properties of the Law: Restoring Personal Property Through Crime and Tort. SSRN Electronic Journal. 1 indexed citations
17.
Dyson, Matthew, et al.. (2014). Unravelling Tort and Crime. Cambridge University Press eBooks. 5 indexed citations
18.
Dyson, Matthew, Francisco Sepulveda, & John Q. Gan. (2010). Localisation of cognitive tasks used in EEG-based BCIs. Clinical Neurophysiology. 121(9). 1481–1493. 17 indexed citations
19.
Yoon, Ji Won, Stephen Roberts, Matthew Dyson, & John Q. Gan. (2009). Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. Neural Networks. 22(9). 1286–1294. 17 indexed citations
20.
Sepulveda, Francisco, Matthew Dyson, John Q. Gan, & Chun Sing Louis Tsui. (2007). A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs. Conference proceedings. 2007. 5055–5058. 9 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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2026