Scott Kaplin
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
-
- Acute Myocardial Infarction Research 2
- Surgery 4
- Co-authors
- Chayakrit Krittanawong (14 shared papers)Zhen Wang (6 shared papers)Hafeez Ul Hassan Virk (9 shared papers)W.H. Wilson Tang (4 shared papers)Bharat Narasimhan (4 shared papers)Kipp W. Johnson (4 shared papers)Jonathan L. Halperin (2 shared papers)Usman Baber (2 shared papers)
- Journals
- The American Journal of Medicine (4 papers)The American Journal of Cardiology (3 papers)Progress in Cardiovascular Diseases (2 papers)Scientific Reports (1 paper)Cells (1 paper)
- Partner nations
- United StatesBelarusSwitzerland
In The Last Decade
Scott Kaplin
15 papers receiving 485 citations
Scott Kaplin's Hit Papers
Peers
Comparison fields: 5 of 122
- Health Informatics 48
- Health Information Management 136
- Medical Laboratory Technology 12
- Cardiology and Cardiovascular Medicine 143
- Aging 8
Countries citing papers authored by Scott Kaplin
This map shows the geographic impact of Scott Kaplin'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 Scott Kaplin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Kaplin more than expected).
Fields of papers citing papers by Scott Kaplin
This network shows the impact of papers produced by Scott Kaplin. 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 Scott Kaplin. The network helps show where Scott Kaplin may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Kaplin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Machine learning prediction in cardiovascular diseases: a meta-analysis Hit paper breakdown → | 2020 | 264 |
| 2 | 2022 | 62 | |
| 3 | 2021 | 43 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 21 | |
| 7 | 2023 | 15 | |
| 8 | 2019 | 11 | |
| 9 | 2021 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2019 | 3 | |
| 14 | 2019 | 3 | |
| 15 | 2021 | 1 | |
| 16 | 2021 | 0 | |
| 17 | 2017 | 0 |
About Scott Kaplin
Scott Kaplin is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Health, Toxicology and Mutagenesis and Physiology, having authored 17 papers that have together received 510 indexed citations. Recurring topics across this work include Spaceflight effects on biology (2 papers), Acute Myocardial Infarction Research (2 papers), Climate Change and Health Impacts (2 papers), Phytochemicals and Medicinal Plants (1 paper), Bioactive Natural Diterpenoids Research (1 paper), Space Exploration and Technology (1 paper), COVID-19 diagnosis using AI (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Health Informatics (48 citations), Health Information Management (136 citations), Medical Laboratory Technology (12 citations), Cardiology and Cardiovascular Medicine (143 citations) and Aging (8 citations). Scott Kaplin has collaborated with scholars based in United States, Belarus and Switzerland. Frequent co-authors include Chayakrit Krittanawong, Zhen Wang, Hafeez Ul Hassan Virk, W.H. Wilson Tang, Bharat Narasimhan, Kipp W. Johnson, Jonathan L. Halperin, Usman Baber, HongJu Zhang and Sripal Bangalore. Their work appears in journals such as The American Journal of Medicine, The American Journal of Cardiology, Progress in Cardiovascular Diseases, Scientific Reports and Cells.
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.