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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- Artificial Intelligence in Healthcare and Education 3
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- Machine Learning in Healthcare 2
- Topic Modeling 1
- Explainable Artificial Intelligence (XAI) 1
- Co-authors
- Nigam H. Shah (5 shared papers)Michael A. Pfeffer (3 shared papers)Alison Callahan (4 shared papers)Arnold Milstein (3 shared papers)Oluwasanmi Koyejo (2 shared papers)Mehr Kashyap (2 shared papers)Lisa Soleymani Lehmann (2 shared papers)Hyo Jung Hong (2 shared papers)
- Journals
- JAMA (1 paper)JAMA Network Open (1 paper)Journal of Emergency Medicine (1 paper)Annals of Emergency Medicine (1 paper)Applied Clinical Informatics (1 paper)
- Partner nations
- United StatesThailand
In The Last Decade
Dev Dash
10 papers receiving 272 citations
Dev Dash's Hit Papers
Peers
Comparison fields: 5 of 48
- Health Informatics 108
- Family Practice 11
- Health Information Management 18
- Radiology, Nuclear Medicine and Imaging 32
- Artificial Intelligence 47
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 | 193 |
| 2 | 2022 | 30 | |
| 3 | 2024 | 23 | |
| 4 | 2022 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 6 | |
| 7 | 2024 | 3 | |
| 8 | 2025 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2022 | 1 |
About Dev Dash
Dev Dash is a scholar working on Health Informatics, Artificial Intelligence, Neurology, Critical Care and Intensive Care Medicine and Health Information Management, having authored 10 papers that have together received 277 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Machine Learning in Healthcare (2 papers), Artificial Intelligence in Healthcare (1 paper), Emergency and Acute Care Studies (1 paper), Ultrasound in Clinical Applications (1 paper), Topic Modeling (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (108 citations), Family Practice (11 citations), Health Information Management (18 citations), Radiology, Nuclear Medicine and Imaging (32 citations) and Artificial Intelligence (47 citations). Dev Dash has collaborated with scholars based in United States and Thailand. Frequent co-authors include Nigam H. Shah, Michael A. Pfeffer, Alison Callahan, Arnold Milstein, Oluwasanmi Koyejo, Mehr Kashyap, Lisa Soleymani Lehmann, Hyo Jung Hong, Michael Wornow and Karandeep Singh. Their work appears in journals such as JAMA, JAMA Network Open, Journal of Emergency Medicine, Annals of Emergency Medicine and Applied Clinical Informatics.
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.