Manish Dev Sharma
Impact in
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Signal Processing top 0.5%
- Blind Source Separation Techniques
Papers in
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- EEG and Brain-Computer Interfaces 45
- Sleep and Wakefulness Research 14
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- Blind Source Separation Techniques 14
- Co-authors
- U. Rajendra Acharya (60 shared papers)Ram Bilas Pachori (15 shared papers)Vikram M. Gadre (13 shared papers)Ru‐San Tan (9 shared papers)Ankit A. Bhurane (14 shared papers)Dipankar Deb (4 shared papers)Richard J. Mammone (6 shared papers)Abhay B. Upadhyay (2 shared papers)
In The Last Decade
Manish Dev Sharma
113 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 2.3k
- Signal Processing 938
- Cardiology and Cardiovascular Medicine 1.3k
- Experimental and Cognitive Psychology 612
- Biomedical Engineering 710
Countries citing papers authored by Manish Dev Sharma
This map shows the geographic impact of Manish Dev Sharma'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 Manish Dev Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Dev Sharma more than expected).
Fields of papers citing papers by Manish Dev Sharma
This network shows the impact of papers produced by Manish Dev Sharma. 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 Manish Dev Sharma. The network helps show where Manish Dev Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Manish Dev Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 327 | |
| 2 | 2016 | 153 | |
| 3 | 2018 | 138 | |
| 4 | 2018 | 124 | |
| 5 | 2016 | 120 | |
| 6 | 2021 | 102 | |
| 7 | 2017 | 100 | |
| 8 | 2018 | 100 | |
| 9 | 2018 | 99 | |
| 10 | 2018 | 94 | |
| 11 | 2020 | 85 | |
| 12 | 2019 | 74 | |
| 13 | 2019 | 71 | |
| 14 | 2021 | 70 | |
| 15 | 2018 | 70 | |
| 16 | 2021 | 67 | |
| 17 | 2019 | 67 | |
| 18 | 2017 | 62 | |
| 19 | 2020 | 57 | |
| 20 | 2017 | 56 |
About Manish Dev Sharma
Manish Dev Sharma is a scholar working on Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 122 papers that have together received 3.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (45 papers), ECG Monitoring and Analysis (30 papers), Non-Invasive Vital Sign Monitoring (16 papers), Blind Source Separation Techniques (14 papers), Sleep and Wakefulness Research (14 papers), Image and Signal Denoising Methods (13 papers), Obstructive Sleep Apnea Research (11 papers) and Sleep and Work-Related Fatigue (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.3k citations), Signal Processing (938 citations), Cardiology and Cardiovascular Medicine (1.3k citations), Experimental and Cognitive Psychology (612 citations) and Biomedical Engineering (710 citations). Manish Dev Sharma has collaborated with scholars based in India, Singapore and Taiwan. Frequent co-authors include U. Rajendra Acharya, Ram Bilas Pachori, Vikram M. Gadre, Ru‐San Tan, Ankit A. Bhurane, Dipankar Deb, Richard J. Mammone, Abhay B. Upadhyay, Subha D. Puthankattil and Shivani Girish Dhok. Their work appears in journals such as Computers in Biology and Medicine, International Journal of Environmental Research and Public Health, IEEE Access, Applied Intelligence and Physiological Measurement.
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.