Michael Wornow
Impact in
- Health Informatics top 0.2%
- Artificial Intelligence in Healthcare and Education
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Artificial Intelligence in Healthcare and Education 6
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- Machine Learning in Healthcare 6
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Nigam Haresh Shah (7 shared papers)Jason Fries (3 shared papers)Michael A. Pfeffer (2 shared papers)Ethan Steinberg (3 shared papers)Rahul Thapa (2 shared papers)Yizhe Xu (1 shared paper)Birju Patel (1 shared paper)Scott L. Fleming (1 shared paper)
- Journals
- Science Translational Medicine (1 paper)Clinical Infectious Diseases (1 paper)Nature Communications (1 paper)Journal of Biomedical Informatics (1 paper)Proceedings of the VLDB Endowment (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Michael Wornow
14 papers receiving 781 citations
Michael Wornow's Hit Papers
Peers
Comparison fields: 5 of 79
- Health Informatics 433
- Sensory Systems 63
- Health Information Management 38
- Artificial Intelligence 139
- Molecular Biology 144
Countries citing papers authored by Michael Wornow
This map shows the geographic impact of Michael Wornow'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 Michael Wornow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wornow more than expected).
Fields of papers citing papers by Michael Wornow
This network shows the impact of papers produced by Michael Wornow. 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 Michael Wornow. The network helps show where Michael Wornow may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Wornow, 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 | Testing and Evaluation of Health Care Applications of Large Language Models Hit paper breakdown → | 2024 | 287 |
| 2 | The shaky foundations of large language models and foundation models for electronic health records Hit paper breakdown → | 2023 | 195 |
| 3 | 2020 | 153 | |
| 4 | 2024 | 39 | |
| 5 | 2024 | 34 | |
| 6 | 2023 | 18 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 12 | |
| 9 | 2026 | 10 | |
| 10 | 2020 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2026 | 0 |
About Michael Wornow
Michael Wornow is a scholar working on Health Informatics, Artificial Intelligence, Health Information Management, Sensory Systems and Emergency Medical Services, having authored 16 papers that have together received 792 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (6 papers), Machine Learning in Healthcare (6 papers), Electronic Health Records Systems (1 paper), RNA and protein synthesis mechanisms (1 paper), Disaster Response and Management (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Facility Location and Emergency Management (1 paper). The work is most often cited by research in Health Informatics (433 citations), Sensory Systems (63 citations), Health Information Management (38 citations), Artificial Intelligence (139 citations) and Molecular Biology (144 citations). Michael Wornow has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Nigam Haresh Shah, Jason Fries, Michael A. Pfeffer, Ethan Steinberg, Rahul Thapa, Yizhe Xu, Birju Patel, Scott L. Fleming, Dev Dash and Alison Callahan. Their work appears in journals such as Science Translational Medicine, Clinical Infectious Diseases, Nature Communications, Journal of Biomedical Informatics and Proceedings of the VLDB Endowment.
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.