Arpan Pal
Impact in
-
- ECG Monitoring and Analysis
- Heart Rate Variability and Autonomic Control
- Signal Processing top 5%
Papers in
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- Non-Invasive Vital Sign Monitoring 41
- Co-authors
- Arijit Ukil (38 shared papers)Soma Bandyopadhyay (22 shared papers)Anirban Dutta Choudhury (24 shared papers)Chetanya Puri (13 shared papers)Soma Bandyopadhyay (11 shared papers)Aniruddha Sinha (20 shared papers)Avik Ghose (18 shared papers)Rohan Banerjee (13 shared papers)
- Journals
- IEEE Sensors Journal (3 papers)Sensors (2 papers)Pattern Analysis and Applications (1 paper)The Journal of the Acoustical Society of America (1 paper)Virtual Reality (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Arpan Pal
193 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 126
- Cardiology and Cardiovascular Medicine 476
- Signal Processing 225
- Computer Networks and Communications 470
- Industrial and Manufacturing Engineering 162
- Human-Computer Interaction 81
Countries citing papers authored by Arpan Pal
This map shows the geographic impact of Arpan Pal'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 Arpan Pal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arpan Pal more than expected).
Fields of papers citing papers by Arpan Pal
This network shows the impact of papers produced by Arpan Pal. 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 Arpan Pal. The network helps show where Arpan Pal may publish in the future.
Co-authors
The 25 scholars most cited alongside Arpan Pal, 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 223 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 149 | |
| 2 | 2016 | 127 | |
| 3 | 2017 | 117 | |
| 4 | 2020 | 84 | |
| 5 | 2012 | 80 | |
| 6 | 2014 | 76 | |
| 7 | 2020 | 75 | |
| 8 | 2020 | 63 | |
| 9 | 2006 | 51 | |
| 10 | 2015 | 47 | |
| 11 | 2023 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2019 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2015 | 31 | |
| 16 | 2013 | 31 | |
| 17 | 2016 | 31 | |
| 18 | 2013 | 29 | |
| 19 | 2020 | 28 | |
| 20 | 2015 | 26 |
About Arpan Pal
Arpan Pal is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Artificial Intelligence, having authored 223 papers that have together received 2.3k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (41 papers), ECG Monitoring and Analysis (32 papers), EEG and Brain-Computer Interfaces (26 papers), Heart Rate Variability and Autonomic Control (26 papers), IoT and Edge/Fog Computing (14 papers), Anomaly Detection Techniques and Applications (13 papers), Time Series Analysis and Forecasting (13 papers) and Phonocardiography and Auscultation Techniques (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (476 citations), Signal Processing (225 citations), Computer Networks and Communications (470 citations), Industrial and Manufacturing Engineering (162 citations) and Human-Computer Interaction (81 citations). Arpan Pal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Arijit Ukil, Soma Bandyopadhyay, Anirban Dutta Choudhury, Chetanya Puri, Soma Bandyopadhyay, Aniruddha Sinha, Avik Ghose, Rohan Banerjee, Tapas Chakravarty and Shreyasi Datta. Their work appears in journals such as IEEE Sensors Journal, Sensors, Pattern Analysis and Applications, The Journal of the Acoustical Society of America and Virtual Reality.
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.