Michael Wornow
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Artificial Intelligence in Healthcare and Education 3
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- Artificial Intelligence in Healthcare 2
- Co-authors
- Nigam H. ShahMichael A. PfefferJason FriesScott L. FlemingBirju PatelYizhe XuRahul ThapaEthan Steinberg
- Journals
- JAMA (1 paper)Clinical Infectious Diseases (1 paper)PLoS Computational Biology (1 paper)npj Digital Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaThailand
In The Last Decade
Michael Wornow
11 papers receiving 478 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Health Informatics 179
- Health Information Management 45
- Sensory Systems 40
- Family Practice 18
- Artificial Intelligence 167
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-authorship network
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 | 2024 | 15 | |
| 2 | 2024 | 16 | |
| 3 | Testing and Evaluation of Health Care Applications of Large Language Models Hit paper breakdown → | 2024 | 137 |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 143 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 15 | |
| 11 | Cut out the annotator, keep the cutout: better segmentation with weak supervision | 2021 | 3 |
| 12 | 2020 | 5 | |
| 13 | 2020 | 135 |
About Michael Wornow
Michael Wornow is a scholar working on Health Informatics, Health Information Management, Management Information Systems, Emergency Medical Services and Artificial Intelligence, having authored 13 papers that have together received 484 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare (2 papers), Business Process Modeling and Analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), interferon and immune responses (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Health Informatics (179 citations), Health Information Management (45 citations), Sensory Systems (40 citations), Family Practice (18 citations) and Artificial Intelligence (167 citations). Michael Wornow has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Nigam H. Shah, Michael A. Pfeffer, Jason Fries, Scott L. Fleming, Birju Patel, Yizhe Xu, Rahul Thapa, Ethan Steinberg, Wei-Hsi Yeh and David R. Liu. Their work appears in journals such as JAMA, Clinical Infectious Diseases, PLoS Computational Biology, npj Digital Medicine and Nature Communications.
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.