David Chartash
Impact in
- Health Informatics top 0.02%
- Artificial Intelligence in Healthcare and Education
- Family Practice top 1%
- Clinical Reasoning and Diagnostic Skills
Papers in
-
- Health Sciences Research and Education 2
-
- Machine Learning in Healthcare 6
- Topic Modeling 3
- Co-authors
- Richard A. Taylor (12 shared papers)Thomas Huang (6 shared papers)Conrad Safranek (5 shared papers)Vimig Socrates (7 shared papers)Ling Chi (4 shared papers)Aidan Gilson (7 shared papers)Jane Andrews (1 shared paper)Adrienne Dorr (1 shared paper)
- Journals
- JMIR Medical Education (3 papers)The Journal of the American Board of Family Medicine (2 papers)Medical Education (1 paper)BMC Bioinformatics (1 paper)NeuroImage (1 paper)
- Partner nations
- United StatesIrelandCanada
In The Last Decade
David Chartash
22 papers receiving 1.4k citations
David Chartash's Hit Papers
Peers
Comparison fields: 5 of 114
- Health Informatics 1.1k
- Family Practice 190
- Radiology, Nuclear Medicine and Imaging 549
- Artificial Intelligence 420
- Health Information Management 59
Countries citing papers authored by David Chartash
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
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.
All Works
Showing the 20 most-cited of 25 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 → | 2023 | 1275 |
| 2 | 2019 | 24 | |
| 3 | 2013 | 24 | |
| 4 | 2021 | 12 | |
| 5 | 2024 | 11 | |
| 6 | 2018 | 11 | |
| 7 | 2024 | 8 | |
| 8 | 2022 | 7 | |
| 9 | 2014 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2025 | 1 | |
| 17 | Electronic Implementation of Adolescent Health Guidelines for Preventative Care Transformation: Challenges for the Child Health Improvement through Computer Automation (CHICA) System. | 2014 | 1 |
| 18 | 2024 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2019 | 1 |
About David Chartash
David Chartash is a scholar working on General Health Professions, Artificial Intelligence, Health Information Management, Public Health, Environmental and Occupational Health and Health Informatics, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (5 papers), Electronic Health Records Systems (5 papers), Chronic Disease Management Strategies (3 papers), Topic Modeling (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers), Health Sciences Research and Education (2 papers) and Medical Coding and Health Information (2 papers). The work is most often cited by research in Health Informatics (1.1k citations), Family Practice (190 citations), Radiology, Nuclear Medicine and Imaging (549 citations), Artificial Intelligence (420 citations) and Health Information Management (59 citations). David Chartash has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Richard A. Taylor, Thomas Huang, Conrad Safranek, Vimig Socrates, Ling Chi, Aidan Gilson, Jane Andrews, Adrienne Dorr, Rafal Janik and John G. Sled. Their work appears in journals such as JMIR Medical Education, The Journal of the American Board of Family Medicine, Medical Education, BMC Bioinformatics and NeuroImage.
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.