Jay A. Pandit
Impact in
- Health Informatics top 10%
-
- Heart Rate Variability and Autonomic Control
- Blood Pressure and Hypertension Studies
- Cardiovascular Function and Risk Factors
Papers in
-
- Heart Rate Variability and Autonomic Control 6
- Cardiovascular Function and Risk Factors 2
-
- COVID-19 epidemiological studies 2
- Co-authors
- DANIEL C. BATLLE (3 shared papers)Giorgio Quer (10 shared papers)Eric J. Topol (4 shared papers)Jennifer M. Radin (7 shared papers)Jeff Pawelek (4 shared papers)Bruce A. Leff (1 shared paper)Jan A Wysocki (1 shared paper)Edward Ramos (6 shared papers)
- Journals
- npj Digital Medicine (2 papers)JAMA (2 papers)The Lancet Digital Health (2 papers)Journal of the American Heart Association (1 paper)Journal of Cardiac Failure (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Jay A. Pandit
32 papers receiving 557 citations
Peers
Comparison fields: 5 of 102
- Health Informatics 18
- Cardiology and Cardiovascular Medicine 134
- Infectious Diseases 62
- Biomedical Engineering 152
- Modeling and Simulation 15
Countries citing papers authored by Jay A. Pandit
This map shows the geographic impact of Jay A. Pandit'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 Jay A. Pandit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay A. Pandit more than expected).
Fields of papers citing papers by Jay A. Pandit
This network shows the impact of papers produced by Jay A. Pandit. 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 Jay A. Pandit. The network helps show where Jay A. Pandit may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay A. Pandit, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 88 | |
| 2 | 2020 | 78 | |
| 3 | 2022 | 58 | |
| 4 | 2024 | 39 | |
| 5 | 2020 | 37 | |
| 6 | 2023 | 30 | |
| 7 | 2023 | 30 | |
| 8 | 2010 | 28 | |
| 9 | 2022 | 26 | |
| 10 | 2024 | 20 | |
| 11 | 2022 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2015 | 13 | |
| 14 | 2025 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2006 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 6 |
About Jay A. Pandit
Jay A. Pandit is a scholar working on Cardiology and Cardiovascular Medicine, Modeling and Simulation, General Health Professions, Health and Experimental and Cognitive Psychology, having authored 34 papers that have together received 577 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (6 papers), Mobile Health and mHealth Applications (3 papers), COVID-19 epidemiological studies (2 papers), Cardiovascular Function and Risk Factors (2 papers), Data-Driven Disease Surveillance (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Ethics in Clinical Research (2 papers) and Sleep and related disorders (2 papers). The work is most often cited by research in Health Informatics (18 citations), Cardiology and Cardiovascular Medicine (134 citations), Infectious Diseases (62 citations), Biomedical Engineering (152 citations) and Modeling and Simulation (15 citations). Jay A. Pandit has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include DANIEL C. BATLLE, Giorgio Quer, Eric J. Topol, Jennifer M. Radin, Jeff Pawelek, Bruce A. Leff, Jan A Wysocki, Edward Ramos, Katie Baca-Motes and Molly Beestrum. Their work appears in journals such as npj Digital Medicine, JAMA, The Lancet Digital Health, Journal of the American Heart Association and Journal of Cardiac Failure.
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.