Eric Strong

830 citations
5 papers · 319 indexed · 2 hit papers · h-index 4

Impact in

Papers in

Eric Strong

5 papers receiving 310 citations

Hit Papers

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial 2025 · 35 citations
3520242026202550100150

Peers

Eric Strong
Comparison fields: 5 of 84
  • Health Informatics 188
  • Family Practice 57
  • Health Information Management 17
  • Artificial Intelligence 103
  • Radiology, Nuclear Medicine and Imaging 66
Replace Poonam Hosamani with:
Poonam Hosamani United States
Teresa Festl‐Wietek Germany
Dana Brin Israel
Brian C. Gin United States
Robert Kaczmarczyk Germany
Hannah Kerman United States
Ryan S. Huang Canada
Priya S. Garg United States
Zhi Wei Lim Singapore
Eric Strong relative to Poonam Hosamani United States Poonam Hosamani's profile →
Citations per field
00.5×1.7×
Poonam Hosamani · 1×
Citations per year

Countries citing papers authored by Eric Strong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 20 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.

Border = papers with Eric Strong Line = papers co-authored together Eric Strong links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Large Language Model Influence on Diagnostic Reasoning
Hit paper breakdown →
2024167
2 2023101
3
GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial
Hit paper breakdown →
202535
4 202113
5 20203

About Eric Strong

Eric Strong is a scholar working on Family Practice, Health Informatics, Radiology, Nuclear Medicine and Imaging, Developmental and Educational Psychology and Public Health, Environmental and Occupational Health, having authored 5 papers that have together received 319 indexed citations. Recurring topics across this work include Clinical Reasoning and Diagnostic Skills (3 papers), Innovations in Medical Education (2 papers), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Ophthalmology and Eye Disorders (1 paper), COVID-19 diagnosis using AI (1 paper), Education and Critical Thinking Development (1 paper), Reflective Practices in Education (1 paper) and Migraine and Headache Studies (1 paper). The work is most often cited by research in Health Informatics (188 citations), Family Practice (57 citations), Health Information Management (17 citations), Artificial Intelligence (103 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Eric Strong has collaborated with scholars based in United States. Frequent co-authors include Jonathan H. Chen, Jason Hom, Yingjie Weng, Andre Kumar, Poonam Hosamani, Eric Horvitz, Daniel X. Yang, Adam Rodman, Zahir Kanjee and Neera Ahuja. Their work appears in journals such as Nature Medicine, JAMA Network Open, Journal of Child Neurology and JAMA Internal 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.

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