M.T.R. Peiris

435 citations
10 papers · 345 · h-index 7

Impact in

Papers in

M.T.R. Peiris

10 papers receiving 326 citations

Peers

M.T.R. Peiris
Comparison fields: 5 of 48
  • Cognitive Neuroscience 267
  • Experimental and Cognitive Psychology 166
  • Human-Computer Interaction 37
  • Cardiology and Cardiovascular Medicine 94
  • Signal Processing 33
Replace Mehdi Hajinoroozi with:
Mehdi Hajinoroozi United States
Mervyn Yeo Singapore
Chengcheng Hua China
Yu-Chieh Chen Taiwan
Manfred F. Gugler Germany
Lorena Orosco Argentina
Vlada Radivojević Serbia
Thea Radüntz Germany
Zongfeng Xu China
Mohammad Mikaeili Iran
M.T.R. Peiris relative to Mehdi Hajinoroozi United States Mehdi Hajinoroozi's profile →
Citations per field
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Mehdi Hajinoroozi · 1×
Citations per year

Countries citing papers authored by M.T.R. Peiris

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M.T.R. Peiris Line = papers co-authored together M.T.R. Peiris links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007120
2 200684
3 201146
4 200629
5 200523
6 200515
7 201015
8 20086
9 20055
10 20062

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 345 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Sleep and Work-Related Fatigue (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Human-Automation Interaction and Safety (4 papers), Fault Detection and Control Systems (1 paper), Non-Invasive Vital Sign Monitoring (1 paper), Blind Source Separation Techniques (1 paper) and Healthcare Technology and Patient Monitoring (1 paper). The work is most often cited by research in Cognitive Neuroscience (267 citations), Experimental and Cognitive Psychology (166 citations), Human-Computer Interaction (37 citations), Cardiology and Cardiovascular Medicine (94 citations) and Signal Processing (33 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, Carrie Innes, Richard Watts, Philip Parkin, Govinda Poudel and Margo J. van den Berg. 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.

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