Jagdeep Rahul
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Atrial Fibrillation Management and Outcomes
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 17
- Cardiac electrophysiology and arrhythmias 4
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- EEG and Brain-Computer Interfaces 14
- Co-authors
- Lakhan Dev Sharma (12 shared papers)Marpe Sora (9 shared papers)Vijay Kumar Bohat (4 shared papers)Umakanta Nanda (1 shared paper)Achintya Kumar Sarkar (1 shared paper)Apeksha Aggarwal (1 shared paper)Rajesh Kumar (1 shared paper)Shekhar Yadav (3 shared papers)
In The Last Decade
Jagdeep Rahul
26 papers receiving 364 citations
Peers
Comparison fields: 5 of 57
- Cardiology and Cardiovascular Medicine 245
- Cognitive Neuroscience 193
- Marketing 35
- Health Informatics 4
- Health Information Management 12
Countries citing papers authored by Jagdeep Rahul
This map shows the geographic impact of Jagdeep Rahul'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 Jagdeep Rahul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jagdeep Rahul more than expected).
Fields of papers citing papers by Jagdeep Rahul
This network shows the impact of papers produced by Jagdeep Rahul. 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 Jagdeep Rahul. The network helps show where Jagdeep Rahul may publish in the future.
Co-authors
The 16 scholars most cited alongside Jagdeep Rahul, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 52 | |
| 2 | 2021 | 52 | |
| 3 | 2021 | 49 | |
| 4 | 2011 | 40 | |
| 5 | 2024 | 31 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2020 | 19 | |
| 9 | 2024 | 13 | |
| 10 | 2021 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2012 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2018 | 3 |
About Jagdeep Rahul
Jagdeep Rahul is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Automotive Engineering, having authored 30 papers that have together received 387 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (17 papers), EEG and Brain-Computer Interfaces (14 papers), Non-Invasive Vital Sign Monitoring (8 papers), Semiconductor materials and devices (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Silicon Carbide Semiconductor Technologies (4 papers) and Advanced MEMS and NEMS Technologies (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (245 citations), Cognitive Neuroscience (193 citations), Marketing (35 citations), Health Informatics (4 citations) and Health Information Management (12 citations). Jagdeep Rahul has collaborated with scholars based in India and Nepal. Frequent co-authors include Lakhan Dev Sharma, Marpe Sora, Vijay Kumar Bohat, Umakanta Nanda, Achintya Kumar Sarkar, Apeksha Aggarwal, Rajesh Kumar, Shekhar Yadav, Chiranjit Sain and Pabitra Kumar Biswas⃰. Their work appears in journals such as Journal of Applied Biomedicine, Biomedical Signal Processing and Control, Frontiers in Human Neuroscience, Physical and Engineering Sciences in Medicine and Sustainable Energy Grids and Networks.
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.