David Chartash

29 papers receiving 1.7k citations

David Chartash's Hit Papers

How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment 2023 · 1.5k citations
1.5k0+1+2Years since publication5001k1.5k

Peers

David Chartash
Comparison fields: 5 of 97
  • Health Informatics 1.2k
  • Information Systems 264
  • Health Information Management 39
  • Artificial Intelligence 152
  • Safety Research 56
Replace Conrad W. Safranek with:
Conrad W. Safranek United States
Vimig Socrates United States
Aidan Gilson United States
Thomas Yoyan Huang United States
Tirth Dave Ukraine
Abhimanyu S. Ahuja United States
Michele Salvagno Belgium
Som Subhro Biswas United States
Usman Munir United States
Liam G. McCoy Canada
David Chartash relative to Conrad W. Safranek United States Conrad W. Safranek's profile →
Citations per field
00.5×1.5×2×2.5×
Conrad W. Safranek · 1×
Citations per year

Countries citing papers authored by David Chartash

Since Specialization
Citations

This map shows the geographic impact of David Chartash'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 David Chartash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chartash more than expected).

Fields of papers citing papers by David Chartash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Chartash. 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 David Chartash. The network helps show where David Chartash may publish in the future.

Co-authors

The 25 scholars most cited alongside David Chartash, 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 David Chartash Line = papers co-authored together David Chartash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment
Hit paper breakdown →
20231531
2 201329
3 201929
4 202116
5 202415
6 202514
7 201812
8 202011
9 202410
10 20247
11 20146
12 20226
13 20246
14 20195
15 20234
16 20234
17 20254
18 20213
19 20233
20 20233

About David Chartash

David Chartash is a scholar working on Health Informatics, Health Information Management, Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Emergency Medicine, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (14 papers), Electronic Health Records Systems (5 papers), Innovations in Medical Education (4 papers), Meta-analysis and systematic reviews (4 papers), Opioid Use Disorder Treatment (4 papers), Biomedical Text Mining and Ontologies (3 papers), Machine Learning in Healthcare (3 papers) and Emergency and Acute Care Studies (2 papers). The work is most often cited by research in Health Informatics (1.2k citations), Information Systems (264 citations), Health Information Management (39 citations), Artificial Intelligence (152 citations) and Safety Research (56 citations). David Chartash has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Richard Andrew Taylor, Thomas Yoyan Huang, Vimig Socrates, Conrad W. Safranek, Aidan Gilson, Ling Chi, Adrienne E. Dorr, Rafal Janik, John G. Sled and Bojana Stefanovic. Their work appears in journals such as JMIR Medical Education, The Journal of the American Board of Family Medicine, PEDIATRICS, BMC Bioinformatics and Patient Education and Counseling.

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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