Kaleb E Smith
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in ⓘ
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- Topic Modeling 4
- Natural Language Processing Techniques 3
- Machine Learning in Healthcare 3
- Text Readability and Simplification 1
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- Remote Sensing and LiDAR Applications 1
- Co-authors
- Xi Yang (3 shared papers)Aokun Chen (3 shared papers)Yonghui Wu (3 shared papers)Jiang Bian (3 shared papers)Anthony Costa (2 shared papers)Mona G. Flores (2 shared papers)Christopher A. Harle (1 shared paper)Gloria Lipori (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (1 paper)npj Digital Medicine (1 paper)Journal of Biomedical Informatics (1 paper)IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (1 paper)
- Partner nations
- United States
In The Last Decade
Kaleb E Smith
4 papers receiving 454 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Health Informatics 190
- Health Information Management 69
- Artificial Intelligence 267
- Radiology, Nuclear Medicine and Imaging 89
- Issues, ethics and legal aspects 3
Countries citing papers authored by Kaleb E Smith
This map shows the geographic impact of Kaleb E Smith'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 Kaleb E Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaleb E Smith more than expected).
Fields of papers citing papers by Kaleb E Smith
This network shows the impact of papers produced by Kaleb E Smith. 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 Kaleb E Smith. The network helps show where Kaleb E Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaleb E Smith, 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 | A large language model for electronic health records Hit paper breakdown → | 2022 | 434 |
| 2 | 2024 | 26 | |
| 3 | 2024 | 10 | |
| 4 | 2022 | 1 | |
| 5 | 2025 | 0 |
About Kaleb E Smith
Kaleb E Smith is a scholar working on Artificial Intelligence, Environmental Engineering, Ecology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 471 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Machine Learning in Healthcare (3 papers), Remote Sensing in Agriculture (1 paper), Coastal wetland ecosystem dynamics (1 paper), Text Readability and Simplification (1 paper) and Remote Sensing and LiDAR Applications (1 paper). The work is most often cited by research in Health Informatics (190 citations), Health Information Management (69 citations), Artificial Intelligence (267 citations), Radiology, Nuclear Medicine and Imaging (89 citations) and Issues, ethics and legal aspects (3 citations). Kaleb E Smith has collaborated with scholars based in United States. Frequent co-authors include Xi Yang, Aokun Chen, Yonghui Wu, Jiang Bian, Anthony Costa, Mona G. Flores, Christopher A. Harle, Gloria Lipori, Duane A. Mitchell and Ying Zhang. Their work appears in journals such as Journal of the American Medical Informatics Association, npj Digital Medicine, Journal of Biomedical Informatics and IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
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.