Matthew Bryan
Impact in
- Cognitive Neuroscience top 5%
- Autism Spectrum Disorder Research
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
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- Behavioral and Psychological Studies
Papers in
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- EEG and Brain-Computer Interfaces 6
- Neural dynamics and brain function 3
- Autism Spectrum Disorder Research 2
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- Neuroscience and Neural Engineering 3
- Co-authors
- Annette Estes (2 shared papers)Géraldine Dawson (2 shared papers)Rajesh P. N. Rao (4 shared papers)Seth D. Friedman (1 shared paper)Devapratim Sarma (1 shared paper)Dennis Shaw (1 shared paper)Jay N. Giedd (1 shared paper)Chantel S. Prat (1 shared paper)
- Journals
- Journal of Neural Engineering (3 papers)Journal of Autism and Developmental Disorders (1 paper)Software & Systems Modeling (1 paper)Autism Research (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Matthew Bryan
9 papers receiving 492 citations
Peers
Comparison fields: 5 of 68
- Cognitive Neuroscience 443
- Developmental and Educational Psychology 113
- Cellular and Molecular Neuroscience 119
- Psychiatry and Mental health 81
- Human-Computer Interaction 25
Countries citing papers authored by Matthew Bryan
This map shows the geographic impact of Matthew Bryan'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 Bryan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Bryan more than expected).
Fields of papers citing papers by Matthew Bryan
This network shows the impact of papers produced by Matthew Bryan. 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 Bryan. The network helps show where Matthew Bryan may publish in the future.
Co-authors
The 18 scholars most cited alongside Matthew Bryan, 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 | 2010 | 185 | |
| 2 | 2011 | 123 | |
| 3 | 2014 | 107 | |
| 4 | 2011 | 49 | |
| 5 | 2013 | 23 | |
| 6 | 2012 | 13 | |
| 7 | 2021 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 1 | |
| 10 | 2025 | 0 |
About Matthew Bryan
Matthew Bryan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Control and Systems Engineering, Electrical and Electronic Engineering and Neurology, having authored 10 papers that have together received 510 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (6 papers), Neuroscience and Neural Engineering (3 papers), Neural dynamics and brain function (3 papers), Autism Spectrum Disorder Research (2 papers), Williams Syndrome Research (1 paper), Behavioral and Psychological Studies (1 paper), Gaze Tracking and Assistive Technology (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (443 citations), Developmental and Educational Psychology (113 citations), Cellular and Molecular Neuroscience (119 citations), Psychiatry and Mental health (81 citations) and Human-Computer Interaction (25 citations). Matthew Bryan has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Annette Estes, Géraldine Dawson, Rajesh P. N. Rao, Seth D. Friedman, Devapratim Sarma, Dennis Shaw, Jay N. Giedd, Chantel S. Prat, Andrea Stocco and Stephen R. Dager. Their work appears in journals such as Journal of Neural Engineering, Journal of Autism and Developmental Disorders, Software & Systems Modeling, Autism Research and PLoS ONE.
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.