Eric Strong
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 5%
- Clinical Reasoning and Diagnostic Skills
Papers in
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- Clinical Reasoning and Diagnostic Skills 3
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Jonathan H. Chen (3 shared papers)Yingjie Weng (3 shared papers)Jason Hom (3 shared papers)Hannah M. Kerman (2 shared papers)Joséphine A. Cool (2 shared papers)Neera K. Ahuja (2 shared papers)Daniel Xiao Yang (2 shared papers)Andrew S. Parsons (2 shared papers)
- Journals
- JAMA Network Open (1 paper)Nature Medicine (1 paper)JAMA Internal Medicine (1 paper)Journal of Child Neurology (1 paper)npj Digital Medicine (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Eric Strong
7 papers receiving 540 citations
Eric Strong's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 251
- Family Practice 54
- Health Information Management 20
- Radiology, Nuclear Medicine and Imaging 48
- Artificial Intelligence 80
Countries citing papers authored by Eric Strong
This map shows the geographic impact of Eric Strong'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 Strong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Strong more than expected).
Fields of papers citing papers by Eric Strong
This network shows the impact of papers produced by Eric Strong. 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 Strong. The network helps show where Eric Strong may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Strong, 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 | Large Language Model Influence on Diagnostic Reasoning Hit paper breakdown → | 2024 | 330 |
| 2 | 2023 | 119 | |
| 3 | GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial Hit paper breakdown → | 2025 | 82 |
| 4 | 2021 | 15 | |
| 5 | 2020 | 4 | |
| 6 | 2014 | 1 | |
| 7 | 2026 | 1 | |
| 8 | 2024 | 0 |
About Eric Strong
Eric Strong is a scholar working on Family Practice, Health Informatics, Psychiatry and Mental health, Sensory Systems and Developmental and Educational Psychology, having authored 8 papers that have together received 552 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Migraine and Headache Studies (2 papers), Green IT and Sustainability (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Olfactory and Sensory Function Studies (1 paper), Innovations in Medical Education (1 paper) and Education and Critical Thinking Development (1 paper). The work is most often cited by research in Health Informatics (251 citations), Family Practice (54 citations), Health Information Management (20 citations), Radiology, Nuclear Medicine and Imaging (48 citations) and Artificial Intelligence (80 citations). Eric Strong has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Jonathan H. Chen, Yingjie Weng, Jason Hom, Hannah M. Kerman, Joséphine A. Cool, Neera K. Ahuja, Daniel Xiao Yang, Andrew S. Parsons, Zahir Kanjee and Adam M. Rodman. Their work appears in journals such as JAMA Network Open, Nature Medicine, JAMA Internal Medicine, Journal of Child Neurology and npj Digital Medicine.
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.