Vimig Socrates

17 papers receiving 1.6k citations

Vimig Socrates'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

Vimig Socrates
Comparison fields: 5 of 90
  • Health Informatics 1.2k
  • Information Systems 259
  • Health Information Management 72
  • Artificial Intelligence 165
  • Safety Research 56
Replace David Chartash with:
David Chartash United States
Aidan Gilson United States
Jonathan E. Elias United States
Conrad W. Safranek United States
Thomas Yoyan Huang United States
Tirth Dave Ukraine
Joseph Petro United States
Liam G. McCoy Canada
Hans Moen Finland
Som Subhro Biswas United States
Vimig Socrates relative to David Chartash United States David Chartash's profile →
Citations per field
00.5×1.5×1.8×
David Chartash · 1×
Citations per year

Countries citing papers authored by Vimig Socrates

Since Specialization
Citations

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

Fields of papers citing papers by Vimig Socrates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#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 202154
3 202428
4 202415
5 202411
6
ProvCaRe Semantic Provenance Knowledgebase: Evaluating Scientific Reproducibility of Research Studies.
201710
7 201710
8 202410
9 20247
10 20234
11 20233
12 20243
13 20253
14 20253
15 20253
16 20222
17 20252
18 20220
19 20240

About Vimig Socrates

Vimig Socrates is a scholar working on Health Informatics, Health Information Management, Artificial Intelligence, Molecular Biology and Geriatrics and Gerontology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (7 papers), Machine Learning in Healthcare (6 papers), Biomedical Text Mining and Ontologies (5 papers), Electronic Health Records Systems (2 papers), Research Data Management Practices (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Criminal Justice and Corrections Analysis (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Health Informatics (1.2k citations), Information Systems (259 citations), Health Information Management (72 citations), Artificial Intelligence (165 citations) and Safety Research (56 citations). Vimig Socrates has collaborated with scholars based in United States and Ireland. Frequent co-authors include Richard Andrew Taylor, Thomas Yoyan Huang, David Chartash, Conrad W. Safranek, Aidan Gilson, Ling Chi, Rohit B. Sangal, Raj M. Ratwani, Michael Simonov and Edward R. Melnick. Their work appears in journals such as Academic Emergency Medicine, Journal of Biomedical Informatics, JMIR Medical Education, Journal of Medical Internet Research and JMIR Aging.

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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