Dev Dash
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 10%
Papers in
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- Artificial Intelligence in Healthcare and Education 13
-
- Electronic Health Records Systems 5
- Co-authors
- Christian Rabeling (1 shared paper)Ulrich G. Mueller (1 shared paper)André Luis Rodrigues (1 shared paper)Nigam Haresh Shah (7 shared papers)Michael Wornow (2 shared papers)Alison Callahan (4 shared papers)Michael A. Pfeffer (2 shared papers)Arnold S. Milstein (2 shared papers)
- Journals
- Applied Clinical Informatics (3 papers)Nature Medicine (2 papers)Journal of Emergency Medicine (1 paper)World Neurosurgery (1 paper)JAMA (1 paper)
- Partner nations
- United StatesBrazilIndia
In The Last Decade
Dev Dash
24 papers receiving 994 citations
Dev Dash's Hit Papers
Peers
Comparison fields: 5 of 98
- Health Informatics 657
- Health Information Management 51
- Artificial Intelligence 180
- Genetics 85
- Insect Science 24
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Toward expert-level medical question answering with large language models Hit paper breakdown → | 2025 | 417 |
| 2 | Testing and Evaluation of Health Care Applications of Large Language Models Hit paper breakdown → | 2024 | 287 |
| 3 | 2008 | 122 | |
| 4 | 2022 | 40 | |
| 5 | 2024 | 39 | |
| 6 | 2024 | 34 | |
| 7 | 2022 | 12 | |
| 8 | 2026 | 10 | |
| 9 | 2016 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2024 | 4 | |
| 15 | 2011 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2014 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 2 |
About Dev Dash
Dev Dash is a scholar working on Health Informatics, Health Information Management, Neurology, Artificial Intelligence and Emergency Medicine, having authored 24 papers that have together received 1k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (13 papers), Electronic Health Records Systems (5 papers), Machine Learning in Healthcare (4 papers), Clinical practice guidelines implementation (2 papers), Emergency and Acute Care Studies (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Ultrasound in Clinical Applications (1 paper) and Disaster Response and Management (1 paper). The work is most often cited by research in Health Informatics (657 citations), Health Information Management (51 citations), Artificial Intelligence (180 citations), Genetics (85 citations) and Insect Science (24 citations). Dev Dash has collaborated with scholars based in United States, Brazil and India. Frequent co-authors include Christian Rabeling, Ulrich G. Mueller, André Luis Rodrigues, Nigam Haresh Shah, Michael Wornow, Alison Callahan, Michael A. Pfeffer, Arnold S. Milstein, Oluwasanmi Koyejo and Suhana Bedi. Their work appears in journals such as Applied Clinical Informatics, Nature Medicine, Journal of Emergency Medicine, World Neurosurgery and JAMA.
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.