Jay Pandit

807 citations
31 papers · 442 indexed · h-index 12

Impact in

Papers in

Jay Pandit

29 papers receiving 426 citations

Peers

Jay Pandit
Comparison fields: 5 of 99
  • Cardiology and Cardiovascular Medicine 127
  • Modeling and Simulation 19
  • Infectious Diseases 70
  • Health Informatics 5
  • Biomedical Engineering 139
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Katie Baca-Motes United States
Edward Ramos United States
Lauren Ariniello United States
Vik Kheterpal United States
Ethan R. Harlow United States
Sandra Neumann United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jay Pandit

Since Specialization
Citations

This map shows the geographic impact of Jay 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 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 Pandit more than expected).

Fields of papers citing papers by Jay Pandit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay 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 Pandit. The network helps show where Jay Pandit may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay Pandit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Pandit Line = papers co-authored together Jay Pandit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202371
2 202068
3 202251
4 202432
5 202028
6 201026
7 202321
8 202218
9 202316
10 202214
11 202214
12 201513
13 201511
14 200611
15 20238
16 20247
17 20246
18 20245
19 20255
20 20244

About Jay Pandit

Jay Pandit is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions, Epidemiology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 442 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (7 papers), Data-Driven Disease Surveillance (3 papers), Mobile Health and mHealth Applications (3 papers), Non-Invasive Vital Sign Monitoring (3 papers), COVID-19 epidemiological studies (3 papers), Heart Failure Treatment and Management (2 papers), COVID-19 Digital Contact Tracing (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (127 citations), Modeling and Simulation (19 citations), Infectious Diseases (70 citations), Health Informatics (5 citations) and Biomedical Engineering (139 citations). Jay Pandit has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Daniel Batlle, Eric J. Topol, Giorgio Quer, Jennifer M. Radin, Jeff Pawelek, Bruce Leff, Jan Wysocki, Katie Baca-Motes, Edward Ramos and Ha Uk Chung. Their work appears in journals such as JAMA, The Lancet Digital Health, npj Digital Medicine, Nature Medicine and Scientific Reports.

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.

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