Aidan Gilson

2.5k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Aidan Gilson is a scholar working on Epidemiology, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Aidan Gilson has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Artificial Intelligence and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Aidan Gilson's work include Chronic Disease Management Strategies (4 papers), Machine Learning in Healthcare (3 papers) and Topic Modeling (2 papers). Aidan Gilson is often cited by papers focused on Chronic Disease Management Strategies (4 papers), Machine Learning in Healthcare (3 papers) and Topic Modeling (2 papers). Aidan Gilson collaborates with scholars based in United States, Ireland and Germany. Aidan Gilson's co-authors include Richard A. Taylor, Ling Chi, Conrad Safranek, Thomas Huang, Vimig Socrates, David Chartash, Ula Hwang, Emily A. Wang, Scott Levin and Lisa B. Puglisi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Aidan Gilson

11 papers receiving 1.3k 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
Aidan Gilson United States	4	1.1k	533	406	185	130	14	1.3k
Thomas Huang United States	6	1.1k 1.0×	535 1.0×	412 1.0×	186 1.0×	129 1.0×	13	1.4k
Vimig Socrates United States	7	1.1k 1.0×	539 1.0×	426 1.0×	189 1.0×	156 1.2×	17	1.4k
David Chartash United States	8	1.1k 1.0×	549 1.0×	420 1.0×	190 1.0×	169 1.3×	25	1.4k
Conrad Safranek United States	6	1.1k 1.0×	535 1.0×	410 1.0×	186 1.0×	133 1.0×	18	1.4k
Tirth Dave Ukraine	7	739 0.7×	317 0.6×	292 0.7×	90 0.5×	99 0.8×	43	1.1k
Joseph Petro United States	4	683 0.6×	300 0.6×	322 0.8×	85 0.5×	108 0.8×	6	954
Jonathan Montomoli Italy	14	554 0.5×	273 0.5×	323 0.8×	43 0.2×	65 0.5×	36	1.1k
Satyam Singh India	2	572 0.5×	255 0.5×	216 0.5×	73 0.4×	65 0.5×	6	719
Erik Ranschaert Netherlands	18	751 0.7×	819 1.5×	298 0.7×	44 0.2×	115 0.9×	36	1.4k
Seth J. Berkowitz United States	14	391 0.4×	705 1.3×	626 1.5×	43 0.2×	69 0.5×	29	1.4k

Countries citing papers authored by Aidan Gilson

Since Specialization

Citations

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

Fields of papers citing papers by Aidan Gilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aidan Gilson

This figure shows the co-authorship network connecting the top 25 collaborators of Aidan Gilson. A scholar is included among the top collaborators of Aidan Gilson 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 Aidan Gilson. Aidan Gilson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

Socrates, Vimig, Aidan Gilson, Ling Chi, et al.. (2024). Identifying signs and symptoms of urinary tract infection from emergency department clinical notes using large language models. Academic Emergency Medicine. 31(6). 599–610. 5 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

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

Huang, Thomas, Vimig Socrates, Aidan Gilson, et al.. (2024). Identifying incarceration status in the electronic health record using large language models in emergency department settings. Journal of Clinical and Translational Science. 8(1). e53–e53. 5 indexed citations

Halperin, Scott J., et al.. (2024). Relative Citation Ratio Among Pediatric Orthopaedic Surgeons: Examining the Factors Associated With Higher Scores. Journal of the American Academy of Orthopaedic Surgeons. 33(9). 481–487.

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.

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

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

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 →

10.

Haimovich, Adrian D., Aidan Gilson, Ling Chi, et al.. (2023). Patterns of care partner communication for persons living with dementia in the emergency department. PubMed. 4(1). 1 indexed citations

11.

Taylor, Richard A., Aidan Gilson, Ling Chi, et al.. (2023). Dementia risk analysis using temporal event modeling on a large real-world dataset. Scientific Reports. 13(1). 22618–22618. 7 indexed citations

12.

Gilson, Aidan & Ron A. Adelman. (2023). Disparity in Medicare Reimbursement Between Female and Male Vitreoretinal Surgeons. Journal of VitreoRetinal Diseases. 8(3). 286–292.

13.

Gilson, Aidan, et al.. (2021). Abstract PO-074: The impact of phenotypic bias in the generalizability of deep learning models in non-small cell lung cancer. Clinical Cancer Research. 27(5_Supplement). PO–74. 2 indexed citations

14.

Gilson, Aidan, David Chartash, D. Chang, et al.. (2021). Analysis of Health Trajectories Leading to Adverse Opioid-Related Events.. PubMed. 2021. 248–256. 1 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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