Dev Dash
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
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- Clinical Reasoning and Diagnostic Skills
Papers in ⓘ
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- Machine Learning in Healthcare 3
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Nigam H. Shah (4 shared papers)Alison Callahan (4 shared papers)Michael A. Pfeffer (3 shared papers)Mehr Kashyap (2 shared papers)Akshay Swaminathan (2 shared papers)Akash Chaurasia (2 shared papers)Lisa Soleymani Lehmann (2 shared papers)Michael Wornow (2 shared papers)
- Journals
- JAMA (1 paper)Journal of Emergency Medicine (1 paper)Emergency Medicine Journal (1 paper)Applied Clinical Informatics (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesThailand
In The Last Decade
Dev Dash
9 papers receiving 204 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Health Informatics 112
- Family Practice 13
- Health Information Management 23
- Artificial Intelligence 73
- Radiology, Nuclear Medicine and Imaging 50
Countries citing papers authored by Dev Dash
This map shows the geographic impact of Dev Dash'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 Dev Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev Dash more than expected).
Fields of papers citing papers by Dev Dash
This network shows the impact of papers produced by Dev Dash. 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 Dev Dash. The network helps show where Dev Dash may publish in the future.
Co-authors
The 25 scholars most cited alongside Dev Dash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Testing and Evaluation of Health Care Applications of Large Language Models Hit paper breakdown → | 2024 | 137 |
| 2 | 2022 | 29 | |
| 3 | 2024 | 16 | |
| 4 | 2022 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2025 | 2 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 1 |
About Dev Dash
Dev Dash is a scholar working on Artificial Intelligence, Health Informatics, Surgery, Neurology and Health Information Management, having authored 9 papers that have together received 209 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (3 papers), Artificial Intelligence in Healthcare (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Health Policy Implementation Science (1 paper), COVID-19 diagnosis using AI (1 paper), Emergency and Acute Care Studies (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). The work is most often cited by research in Health Informatics (112 citations), Family Practice (13 citations), Health Information Management (23 citations), Artificial Intelligence (73 citations) and Radiology, Nuclear Medicine and Imaging (50 citations). Dev Dash has collaborated with scholars based in United States and Thailand. Frequent co-authors include Nigam H. Shah, Alison Callahan, Michael A. Pfeffer, Mehr Kashyap, Akshay Swaminathan, Akash Chaurasia, Lisa Soleymani Lehmann, Michael Wornow, Hyo Jung Hong and Arnold Milstein. Their work appears in journals such as JAMA, Journal of Emergency Medicine, Emergency Medicine Journal, Applied Clinical Informatics and JAMA Network Open.
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.