Barathram Ramkumar
Impact in
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- ECG Monitoring and Analysis
- Signal Processing top 2%
- Blind Source Separation Techniques
Papers in
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- ECG Monitoring and Analysis 18
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- Blind Source Separation Techniques 17
- Co-authors
- Udit Satija (24 shared papers)M. Sabarimalai Manikandan (27 shared papers)Nikita Trivedi (2 shared papers)Tamal Bose (6 shared papers)Miloje S. Radenković (4 shared papers)Soumya P. Dash (2 shared papers)Marco P. Schoen (4 shared papers)Munawwar M. Sohul (1 shared paper)
- Journals
- IEEE Sensors Journal (4 papers)IEEE Access (2 papers)Analog Integrated Circuits and Signal Processing (2 papers)Wireless Personal Communications (2 papers)Journal of Applied Biomedicine (1 paper)
- Partner nations
- IndiaUnited StatesNorway
In The Last Decade
Barathram Ramkumar
56 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Cardiology and Cardiovascular Medicine 686
- Signal Processing 264
- Cognitive Neuroscience 376
- Artificial Intelligence 480
- Biomedical Engineering 450
Countries citing papers authored by Barathram Ramkumar
This map shows the geographic impact of Barathram Ramkumar'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 Barathram Ramkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barathram Ramkumar more than expected).
Fields of papers citing papers by Barathram Ramkumar
This network shows the impact of papers produced by Barathram Ramkumar. 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 Barathram Ramkumar. The network helps show where Barathram Ramkumar may publish in the future.
Co-authors
The 20 scholars most cited alongside Barathram Ramkumar, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 254 | |
| 2 | 2018 | 212 | |
| 3 | 2009 | 170 | |
| 4 | 2018 | 166 | |
| 5 | 2017 | 126 | |
| 6 | 2018 | 77 | |
| 7 | 2022 | 65 | |
| 8 | 2018 | 38 | |
| 9 | 2014 | 38 | |
| 10 | 2014 | 34 | |
| 11 | 2016 | 33 | |
| 12 | 2016 | 31 | |
| 13 | 2015 | 27 | |
| 14 | 2017 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2016 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2010 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2016 | 17 |
About Barathram Ramkumar
Barathram Ramkumar is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 59 papers that have together received 1.7k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (18 papers), Blind Source Separation Techniques (17 papers), Wireless Signal Modulation Classification (14 papers), EEG and Brain-Computer Interfaces (10 papers), Phonocardiography and Auscultation Techniques (9 papers), Non-Invasive Vital Sign Monitoring (7 papers), Radar Systems and Signal Processing (5 papers) and Advanced Wireless Communication Technologies (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (686 citations), Signal Processing (264 citations), Cognitive Neuroscience (376 citations), Artificial Intelligence (480 citations) and Biomedical Engineering (450 citations). Barathram Ramkumar has collaborated with scholars based in India, United States and Norway. Frequent co-authors include Udit Satija, M. Sabarimalai Manikandan, Nikita Trivedi, Tamal Bose, Miloje S. Radenković, Soumya P. Dash, Marco P. Schoen, Munawwar M. Sohul, Vishal Krishna Singh and Tilendra Choudhary. Their work appears in journals such as IEEE Sensors Journal, IEEE Access, Analog Integrated Circuits and Signal Processing, Wireless Personal Communications and Journal of Applied Biomedicine.
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.