Patricia Kovatch
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 3
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- Machine Learning in Healthcare 5
- Co-authors
- Khader Shameer (2 shared papers)Li Li (2 shared papers)Andrew Kasarskis (2 shared papers)Nicholas P. Tatonetti (2 shared papers)Joel T. Dudley (2 shared papers)Kipp W. Johnson (2 shared papers)Riccardo Miotto (1 shared paper)Phil Andrews (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (3 papers)npj Digital Medicine (2 papers)Nature Communications (1 paper)Artificial Intelligence in Medicine (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Patricia Kovatch
29 papers receiving 264 citations
Peers
Comparison fields: 5 of 79
- Health Informatics 35
- Health Information Management 51
- Cardiology and Cardiovascular Medicine 61
- Artificial Intelligence 59
- Information Systems and Management 11
Countries citing papers authored by Patricia Kovatch
This map shows the geographic impact of Patricia Kovatch'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 Patricia Kovatch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia Kovatch more than expected).
Fields of papers citing papers by Patricia Kovatch
This network shows the impact of papers produced by Patricia Kovatch. 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 Patricia Kovatch. The network helps show where Patricia Kovatch may publish in the future.
Co-authors
The 25 scholars most cited alongside Patricia Kovatch, 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 | 2016 | 109 | |
| 2 | 2023 | 26 | |
| 3 | 2021 | 23 | |
| 4 | 2024 | 14 | |
| 5 | 2005 | 14 | |
| 6 | 2018 | 11 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2017 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2011 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2005 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2011 | 2 | |
| 20 | 2020 | 2 |
About Patricia Kovatch
Patricia Kovatch is a scholar working on Computer Networks and Communications, Artificial Intelligence, Molecular Biology, Hardware and Architecture and Infectious Diseases, having authored 30 papers that have together received 271 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Machine Learning in Healthcare (5 papers), Parallel Computing and Optimization Techniques (4 papers), Advanced Data Storage Technologies (3 papers), COVID-19 Clinical Research Studies (3 papers), Scientific Computing and Data Management (3 papers), COVID-19 diagnosis using AI (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Health Informatics (35 citations), Health Information Management (51 citations), Cardiology and Cardiovascular Medicine (61 citations), Artificial Intelligence (59 citations) and Information Systems and Management (11 citations). Patricia Kovatch has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Khader Shameer, Li Li, Andrew Kasarskis, Nicholas P. Tatonetti, Joel T. Dudley, Kipp W. Johnson, Riccardo Miotto, Phil Andrews, Bruce Darrow and Girish N. Nadkarni. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, Nature Communications, Artificial Intelligence in Medicine and Frontiers in Cellular and Infection Microbiology.
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.