Jonathan Austrian
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Electronic Health Records Systems
Papers in
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- Electronic Health Records Systems 6
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- Hospital Admissions and Outcomes 3
- Co-authors
- Saul Blecker (9 shared papers)Robert D. Kerns (1 shared paper)M. Carrington Reid (1 shared paper)Yindalon Aphinyanaphongs (6 shared papers)R. Gupta (1 shared paper)Jonah Zaretsky (1 shared paper)Jeong‐Min Kim (1 shared paper)David Mann (4 shared papers)
- Journals
- Journal of the American Medical Informatics Association (4 papers)Applied Clinical Informatics (3 papers)JAMA Network Open (2 papers)Cell Research (1 paper)Journal of Medical Internet Research (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan Austrian
24 papers receiving 568 citations
Jonathan Austrian's Hit Papers
Peers
Comparison fields: 5 of 97
- Health Informatics 66
- Health Information Management 68
- Emergency Medicine 39
- Issues, ethics and legal aspects 5
- Medical Terminology 1
Countries citing papers authored by Jonathan Austrian
This map shows the geographic impact of Jonathan Austrian'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 Jonathan Austrian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Austrian more than expected).
Fields of papers citing papers by Jonathan Austrian
This network shows the impact of papers produced by Jonathan Austrian. 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 Jonathan Austrian. The network helps show where Jonathan Austrian may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Austrian, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generative Artificial Intelligence to Transform Inpatient Discharge Summaries to Patient-Friendly Language and Format Hit paper breakdown → | 2024 | 126 |
| 2 | 2005 | 73 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 46 | |
| 5 | 2017 | 42 | |
| 6 | 2019 | 35 | |
| 7 | 2021 | 31 | |
| 8 | 2019 | 23 | |
| 9 | 2015 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2001 | 20 | |
| 12 | 2013 | 18 | |
| 13 | 2021 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2024 | 10 | |
| 16 | 2017 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2013 | 4 |
About Jonathan Austrian
Jonathan Austrian is a scholar working on Health Information Management, Emergency Medicine, Surgery, Health Informatics and Epidemiology, having authored 25 papers that have together received 583 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Hospital Admissions and Outcomes (3 papers), Artificial Intelligence in Healthcare and Education (2 papers), Palliative Care and End-of-Life Issues (2 papers), NF-κB Signaling Pathways (1 paper), Enhanced Recovery After Surgery (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Health Informatics (66 citations), Health Information Management (68 citations), Emergency Medicine (39 citations), Issues, ethics and legal aspects (5 citations) and Medical Terminology (1 citation). Jonathan Austrian has collaborated with scholars based in United States. Frequent co-authors include Saul Blecker, Robert D. Kerns, M. Carrington Reid, Yindalon Aphinyanaphongs, R. Gupta, Jonah Zaretsky, Jeong‐Min Kim, David Mann, Leora I. Horwitz and Donna Shelley. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, JAMA Network Open, Cell Research and Journal of Medical Internet Research.
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.