M. Murugappan
Impact in
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- Emotion and Mood Recognition
- Sleep and Work-Related Fatigue
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
Papers in
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- EEG and Brain-Computer Interfaces 75
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- Emotion and Mood Recognition 44
- Sleep and Work-Related Fatigue 11
- Co-authors
- Kenneth SundarajSazali YaacobArun SahayadhasRajamanickam YuvarajP. KarthikeyanWan KhairunizamR. NagarajanYaacob Sazali
In The Last Decade
M. Murugappan
150 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Experimental and Cognitive Psychology 2.1k
- Cognitive Neuroscience 2.6k
- Human-Computer Interaction 407
- Signal Processing 587
- Cardiology and Cardiovascular Medicine 1.0k
Countries citing papers authored by M. Murugappan
This map shows the geographic impact of M. Murugappan'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. Murugappan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Murugappan more than expected).
Fields of papers citing papers by M. Murugappan
This network shows the impact of papers produced by M. Murugappan. 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. Murugappan. The network helps show where M. Murugappan may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Murugappan, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2023 | 27 | |
| 13 | 2023 | 4 | |
| 14 | Electromyogram signal based hypovigilance detection. | 2014 | 13 |
| 15 | Classification of driver drowsiness level using wireless EEG | 2013 | 5 |
| 16 | PNN BASED DRIVER DROWSINESS LEVEL CLASSIFICATION USING EEG | 2013 | 4 |
| 17 | Combining Spatial Filtering and Wavelet Transform for Classifying Human Emotions Using EEG Signals | 2011 | 42 |
| 18 | 2010 | 315 | |
| 19 | 2009 | 16 | |
| 20 | Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG | 2008 | 24 |
About M. Murugappan
M. Murugappan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology, Human-Computer Interaction, Signal Processing and Cardiology and Cardiovascular Medicine, having authored 161 papers that have together received 5.0k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (75 papers), Emotion and Mood Recognition (44 papers), Heart Rate Variability and Autonomic Control (23 papers), Blind Source Separation Techniques (20 papers), Non-Invasive Vital Sign Monitoring (20 papers), ECG Monitoring and Analysis (16 papers), Gaze Tracking and Assistive Technology (12 papers) and Sleep and Work-Related Fatigue (11 papers). The work is most often cited by research in Experimental and Cognitive Psychology (2.1k citations), Cognitive Neuroscience (2.6k citations), Human-Computer Interaction (407 citations), Signal Processing (587 citations) and Cardiology and Cardiovascular Medicine (1.0k citations). M. Murugappan has collaborated with scholars based in Malaysia, Kuwait and India. Frequent co-authors include Kenneth Sundaraj, Sazali Yaacob, Arun Sahayadhas, Rajamanickam Yuvaraj, P. Karthikeyan, Wan Khairunizam, R. Nagarajan, Yaacob Sazali, U. Rajendra Acharya and Nagarajan Ramachandran. Their work appears in journals such as IEEE Access, Arabian Journal for Science and Engineering, Neural Computing and Applications, Biomedical Signal Processing and Control 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.