M.T.R. Peiris
Impact in
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Sleep and Wakefulness Research
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- Sleep and Work-Related Fatigue
Papers in
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- EEG and Brain-Computer Interfaces 8
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- Sleep and Work-Related Fatigue 6
- Co-authors
- Richard D. Jones (10 shared papers)P.R. Davidson (9 shared papers)Philip J. Bones (8 shared papers)G.J. Carroll (4 shared papers)T. Leigh Signal (2 shared papers)Philip Parkin (1 shared paper)Margo J. van den Berg (1 shared paper)Carrie Innes (1 shared paper)
- Journals
- IEEE Transactions on Biomedical Engineering (1 paper)Journal of Sleep Research (1 paper)Journal of Neural Engineering (1 paper)Conference proceedings (1 paper)PubMed (6 papers)
- Partner nations
- New Zealand
In The Last Decade
M.T.R. Peiris
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 48
- Cognitive Neuroscience 276
- Experimental and Cognitive Psychology 173
- Human-Computer Interaction 40
- Cardiology and Cardiovascular Medicine 90
- Signal Processing 45
Countries citing papers authored by M.T.R. Peiris
This map shows the geographic impact of M.T.R. Peiris'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 M.T.R. Peiris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T.R. Peiris more than expected).
Fields of papers citing papers by M.T.R. Peiris
This network shows the impact of papers produced by M.T.R. Peiris. 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 M.T.R. Peiris. The network helps show where M.T.R. Peiris may publish in the future.
Co-authors
The 10 scholars most cited alongside M.T.R. Peiris, 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 | 2007 | 135 | |
| 2 | 2006 | 91 | |
| 3 | 2011 | 51 | |
| 4 | 2006 | 30 | |
| 5 | 2005 | 25 | |
| 6 | 2010 | 17 | |
| 7 | 2005 | 16 | |
| 8 | 2008 | 6 | |
| 9 | 2005 | 5 | |
| 10 | 2006 | 2 |
About M.T.R. Peiris
M.T.R. Peiris is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Social Psychology, Cardiology and Cardiovascular Medicine and Surgery, having authored 10 papers that have together received 378 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Sleep and Work-Related Fatigue (6 papers), Human-Automation Interaction and Safety (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Blind Source Separation Techniques (1 paper), Traffic and Road Safety (1 paper), Non-Invasive Vital Sign Monitoring (1 paper) and Fault Detection and Control Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (276 citations), Experimental and Cognitive Psychology (173 citations), Human-Computer Interaction (40 citations), Cardiology and Cardiovascular Medicine (90 citations) and Signal Processing (45 citations). M.T.R. Peiris has collaborated with scholars based in New Zealand. Frequent co-authors include Richard D. Jones, P.R. Davidson, Philip J. Bones, G.J. Carroll, T. Leigh Signal, Philip Parkin, Margo J. van den Berg, Carrie Innes, Govinda Poudel and Richard Watts. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of Sleep Research, Journal of Neural Engineering, Conference proceedings and PubMed.
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.