David Chartash

2.7k total citations · 1 hit paper
25 papers, 1.4k citations indexed

About

David Chartash is a scholar working on General Health Professions, Artificial Intelligence and Health Information Management. According to data from OpenAlex, David Chartash has authored 25 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 8 papers in Artificial Intelligence and 6 papers in Health Information Management. Recurrent topics in David Chartash's work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Electronic Health Records Systems (5 papers). David Chartash is often cited by papers focused on Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Electronic Health Records Systems (5 papers). David Chartash collaborates with scholars based in United States, Ireland and Canada. David Chartash's co-authors include Richard A. Taylor, Conrad Safranek, Vimig Socrates, Thomas Huang, Aidan Gilson, Ling Chi, Jane Andrews, John G. Sled, Rafal Janik and Bojana Stefanovic and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

David Chartash

22 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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 1.3k citations Aidan Gilson, Conrad Safranek et al. JMIR Medical Education profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Chartash United States	8	1.1k	549	420	190	169	25	1.4k
Vimig Socrates United States	7	1.1k 1.0×	539 1.0×	426 1.0×	189 1.0×	156 0.9×	17	1.4k
Thomas Huang United States	6	1.1k 1.0×	535 1.0×	412 1.0×	186 1.0×	129 0.8×	13	1.4k
Aidan Gilson United States	4	1.1k 1.0×	533 1.0×	406 1.0×	185 1.0×	130 0.8×	14	1.3k
Conrad Safranek United States	6	1.1k 1.0×	535 1.0×	410 1.0×	186 1.0×	133 0.8×	18	1.4k
Tirth Dave Ukraine	7	739 0.7×	317 0.6×	292 0.7×	90 0.5×	99 0.6×	43	1.1k
Himel Mondal India	18	663 0.6×	348 0.6×	307 0.7×	110 0.6×	148 0.9×	197	1.4k
Tiffany H. Kung United States	8	1.7k 1.5×	888 1.6×	712 1.7×	268 1.4×	229 1.4×	10	2.3k
Adam Poliak United States	11	818 0.7×	303 0.6×	607 1.4×	136 0.7×	169 1.0×	24	1.6k
Joseph Petro United States	4	683 0.6×	300 0.5×	322 0.8×	85 0.4×	108 0.6×	6	954
Valentina Bellini Italy	15	709 0.6×	328 0.6×	359 0.9×	48 0.3×	93 0.6×	63	1.3k

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-authorship network of co-authors of David Chartash

This figure shows the co-authorship network connecting the top 25 collaborators of David Chartash. A scholar is included among the top collaborators of David Chartash based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Chartash. David Chartash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Socrates, Vimig, D. Wright, Thomas Huang, et al.. (2025). Identifying Deprescribing Opportunities With Large Language Models in Older Adults: Retrospective Cohort Study. JMIR Aging. 8. e69504–e69504. 1 indexed citations

Wright, D., Vimig Socrates, Thomas Huang, et al.. (2025). Automated computation of the HEART score with the GPT-4 large language model. The American Journal of Emergency Medicine. 93. 120–125.

Huang, Thomas, Conrad Safranek, Vimig Socrates, et al.. (2024). Patient-Representing Population's Perceptions of GPT-Generated Versus Standard Emergency Department Discharge Instructions: Randomized Blind Survey Assessment. Journal of Medical Internet Research. 26. e60336–e60336. 11 indexed citations

Chartash, David, Aidan Gilson, Richard A. Taylor, & Laura C. Hart. (2024). The Scope of Multimorbidity in Family Medicine: Identifying Age Patterns Across the Lifespan. The Journal of the American Board of Family Medicine. 37(2). 251–260. 1 indexed citations

Safranek, Conrad, Thomas Huang, D. Wright, et al.. (2024). Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development. SHILAP Revista de lepidopterología. 5(2). e13133–e13133. 8 indexed citations

Gilson, Aidan, David Chartash, Richard A. Taylor, & Laura C. Hart. (2024). Computationally derived transition points across phases of clinical care. npj Digital Medicine. 7(1). 151–151. 1 indexed citations

Dufendach, Kevin R., Christoph U. Lehmann, S. Andrew Spooner, et al.. (2024). Special Requirements of Electronic Health Record Systems in Pediatrics: Clinical Report. PEDIATRICS. 154(4).

Chartash, David, et al.. (2024). Family Medicine Must Prepare for Artificial Intelligence. The Journal of the American Board of Family Medicine. 37(4). 520–524. 3 indexed citations

Socrates, Vimig, et al.. (2023). Predicting relations between SOAP note sections: The value of incorporating a clinical information model. Journal of Biomedical Informatics. 141. 104360–104360.

10.

Taylor, Richard A., Aidan Gilson, Wade L. Schulz, et al.. (2023). Computational phenotypes for patients with opioid-related disorders presenting to the emergency department. PLoS ONE. 18(9). e0291572–e0291572. 2 indexed citations

11.

Gilson, Aidan, Conrad Safranek, Thomas Huang, et al.. (2023). Authors’ Reply to: Variability in Large Language Models’ Responses to Medical Licensing and Certification Examinations. JMIR Medical Education. 9. e50336–e50336. 2 indexed citations

12.

Gilson, Aidan, Conrad Safranek, Thomas Huang, et al.. (2023). How Does ChatGPT Perform on the United States Medical Licensing Examination (USMLE)? The Implications of Large Language Models for Medical Education and Knowledge Assessment. JMIR Medical Education. 9. e45312–e45312. 1275 indexed citations breakdown →

13.

Chartash, David, et al.. (2023). A pipeline for the retrieval and extraction of domain-specific information with application to COVID-19 immune signatures. BMC Bioinformatics. 24(1). 292–292. 1 indexed citations

14.

Chartash, David, et al.. (2022). Informatics in Undergraduate Medical Education: Analysis of Competency Frameworks and Practices Across North America. JMIR Medical Education. 8(3). e39794–e39794. 4 indexed citations

15.

Andrews, Jane, et al.. (2021). Gender bias in resident evaluations: Natural language processing and competency evaluation. Medical Education. 55(12). 1383–1387. 12 indexed citations

16.

Chartash, David, Mona Sharifi, Beth Emerson, et al.. (2021). Documentation of Shared Decisionmaking in the Emergency Department. Annals of Emergency Medicine. 78(5). 637–649. 3 indexed citations

17.

Chartash, David, Hyung Paek, James Dziura, et al.. (2019). Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study. JMIR Medical Informatics. 7(4). e15794–e15794. 24 indexed citations

18.

Wiehe, Sarah E., Marc B. Rosenman, David Chartash, et al.. (2018). A Solutions-Based Approach to Building Data-Sharing Partnerships. SHILAP Revista de lepidopterología. 6(1). 20–20. 11 indexed citations

19.

Chartash, David, et al.. (2014). Electronic Implementation of Adolescent Health Guidelines for Preventative Care Transformation: Challenges for the Child Health Improvement through Computer Automation (CHICA) System.. AMIA. 1 indexed citations

20.

Janik, Rafal, et al.. (2013). Cerebral microvascular network geometry changes in response to functional stimulation. NeuroImage. 71. 248–259. 24 indexed citations

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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