Eric LaRose
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
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- Machine Learning in Healthcare 3
- Topic Modeling 2
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Peggy Peissig (7 shared papers)Ahmad P. Tafti (4 shared papers)John Mayer (3 shared papers)David Page (3 shared papers)Jacob P. VanHouten (1 shared paper)Zhan Ye (1 shared paper)Huan Mo (1 shared paper)Richard A. Dart (1 shared paper)
- Journals
- Journal of Biomedical Informatics (1 paper)Journal of the American Medical Informatics Association (1 paper)Methods of Information in Medicine (1 paper)Data in Brief (1 paper)JMIR Medical Informatics (1 paper)
- Partner nations
- United States
In The Last Decade
Eric LaRose
7 papers receiving 195 citations
Peers
Comparison fields: 5 of 71
- Health Informatics 15
- Health Information Management 40
- Toxicology 15
- Artificial Intelligence 86
- Family Practice 3
Countries citing papers authored by Eric LaRose
This map shows the geographic impact of Eric LaRose'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 Eric LaRose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric LaRose more than expected).
Fields of papers citing papers by Eric LaRose
This network shows the impact of papers produced by Eric LaRose. 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 Eric LaRose. The network helps show where Eric LaRose may publish in the future.
Co-authors
The 23 scholars most cited alongside Eric LaRose, 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 | 2016 | 67 | |
| 2 | 2018 | 33 | |
| 3 | 2017 | 32 | |
| 4 | 2019 | 30 | |
| 5 | 2018 | 21 | |
| 6 | 2017 | 13 | |
| 7 | 2022 | 2 |
About Eric LaRose
Eric LaRose is a scholar working on Artificial Intelligence, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Health Information Management and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 198 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Machine Learning in Healthcare (3 papers), Topic Modeling (2 papers), Pharmacovigilance and Adverse Drug Reactions (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Artificial Intelligence in Healthcare (1 paper), Computational Drug Discovery Methods (1 paper) and Automated Road and Building Extraction (1 paper). The work is most often cited by research in Health Informatics (15 citations), Health Information Management (40 citations), Toxicology (15 citations), Artificial Intelligence (86 citations) and Family Practice (3 citations). Eric LaRose has collaborated with scholars based in United States. Frequent co-authors include Peggy Peissig, Ahmad P. Tafti, John Mayer, David Page, Jacob P. VanHouten, Zhan Ye, Huan Mo, Richard A. Dart, Todd L. Edwards and S. Trent Rosenbloom. Their work appears in journals such as Journal of Biomedical Informatics, Journal of the American Medical Informatics Association, Methods of Information in Medicine, Data in Brief and JMIR Medical Informatics.
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.