Keith Morse
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
- Artificial Intelligence in Healthcare
Papers in ⓘ
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- Machine Learning in Healthcare 8
- Topic Modeling 3
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- Electronic Health Records Systems 8
- Artificial Intelligence in Healthcare 2
- Co-authors
- Nigam H. Shah (10 shared papers)Nicolai P. Ostberg (1 shared paper)Albert Chan (1 shared paper)Veena G Jones (1 shared paper)Birju Patel (4 shared papers)Steven C. Bagley (1 shared paper)Natalie M. Pageler (8 shared papers)James Xie (2 shared papers)
- Journals
- Applied Clinical Informatics (4 papers)JAMA Network Open (3 papers)Journal of the American Medical Informatics Association (3 papers)Hospital Pediatrics (2 papers)JAMA Pediatrics (2 papers)
- Partner nations
- United StatesCanadaColombia
In The Last Decade
Keith Morse
25 papers receiving 288 citations
Peers
Comparison fields: 5 of 80
- Health Informatics 89
- Health Information Management 80
- Family Practice 14
- Applied Psychology 21
- General Health Professions 83
Countries citing papers authored by Keith Morse
This map shows the geographic impact of Keith Morse'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 Keith Morse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Morse more than expected).
Fields of papers citing papers by Keith Morse
This network shows the impact of papers produced by Keith Morse. 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 Keith Morse. The network helps show where Keith Morse may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Morse, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2021 | 41 | |
| 3 | 2022 | 29 | |
| 4 | 2020 | 23 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 17 | |
| 7 | 2024 | 15 | |
| 8 | 2020 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2023 | 7 | |
| 13 | 2021 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 3 |
About Keith Morse
Keith Morse is a scholar working on Artificial Intelligence, Health Information Management, General Health Professions, Health Informatics and Epidemiology, having authored 26 papers that have together received 292 indexed citations. Recurring topics across this work include Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Mobile Health and mHealth Applications (4 papers), Topic Modeling (3 papers), Sepsis Diagnosis and Treatment (3 papers), Health Literacy and Information Accessibility (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (89 citations), Health Information Management (80 citations), Family Practice (14 citations), Applied Psychology (21 citations) and General Health Professions (83 citations). Keith Morse has collaborated with scholars based in United States, Canada and Colombia. Frequent co-authors include Nigam H. Shah, Nicolai P. Ostberg, Albert Chan, Veena G Jones, Birju Patel, Steven C. Bagley, Natalie M. Pageler, James Xie, Ethan Steinberg and Alison Callahan. Their work appears in journals such as Applied Clinical Informatics, JAMA Network Open, Journal of the American Medical Informatics Association, Hospital Pediatrics and JAMA Pediatrics.
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.