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
-
- Topic Modeling 2
- Text Readability and Simplification 1
- Machine Learning in Healthcare 1
- Natural Language Processing Techniques 1
- Ecology 1
- Coastal wetland ecosystem dynamics 1
- Remote Sensing in Agriculture 1
- Co-authors
- Jiang Bian (3 shared papers)Yonghui Wu (3 shared papers)Xi Yang (3 shared papers)Aokun Chen (3 shared papers)Mona G. Flores (2 shared papers)Anthony Costa (2 shared papers)Colin B. Compas (1 shared paper)Christopher Parisien (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)Journal of the American Medical Informatics Association (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
5 papers receiving 506 citations
Kaleb E Smith's Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 168
- Health Information Management 47
- Artificial Intelligence 205
- Radiology, Nuclear Medicine and Imaging 66
- Internal Medicine 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 | 474 |
| 2 | 2024 | 32 | |
| 3 | 2024 | 14 | |
| 4 | 2025 | 1 | |
| 5 | 2022 | 1 |
About Kaleb E Smith
Kaleb E Smith is a scholar working on Artificial Intelligence, Ecology, Environmental Engineering, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 522 indexed citations. Recurring topics across this work include Topic Modeling (2 papers), Text Readability and Simplification (1 paper), Remote Sensing and LiDAR Applications (1 paper), Machine Learning in Healthcare (1 paper), Natural Language Processing Techniques (1 paper), Coastal wetland ecosystem dynamics (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Health Informatics (168 citations), Health Information Management (47 citations), Artificial Intelligence (205 citations), Radiology, Nuclear Medicine and Imaging (66 citations) and Internal Medicine (3 citations). Kaleb E Smith has collaborated with scholars based in United States. Frequent co-authors include Jiang Bian, Yonghui Wu, Xi Yang, Aokun Chen, Mona G. Flores, Anthony Costa, Colin B. Compas, Christopher Parisien, Ying Zhang and Cheryl Martin. Their work appears in journals such as npj Digital Medicine, Journal of the American Medical Informatics Association, 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.