Devore S Culver
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
- Medical Coding and Health Information
Papers in
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- Emergency and Acute Care Studies 3
- Hospital Admissions and Outcomes 1
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- Machine Learning in Healthcare 9
- Co-authors
- Bo Jin (8 shared papers)Frank Stearns (8 shared papers)Shiying Hao (8 shared papers)Karl G. Sylvester (8 shared papers)Eric Widen (8 shared papers)Shaun T Alfreds (8 shared papers)Chunqing Zhu (8 shared papers)Xuefeng B. Ling (8 shared papers)
- Journals
- Journal of Medical Internet Research (3 papers)PLoS ONE (3 papers)BMC Emergency Medicine (1 paper)International Journal of Medical Informatics (1 paper)JMIR Medical Informatics (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Devore S Culver
13 papers receiving 498 citations
Peers
Comparison fields: 5 of 69
- Health Informatics 71
- Health Information Management 175
- Emergency Medicine 61
- Artificial Intelligence 184
- Cardiology and Cardiovascular Medicine 54
Countries citing papers authored by Devore S Culver
This map shows the geographic impact of Devore S Culver'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 Devore S Culver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devore S Culver more than expected).
Fields of papers citing papers by Devore S Culver
This network shows the impact of papers produced by Devore S Culver. 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 Devore S Culver. The network helps show where Devore S Culver may publish in the future.
Co-authors
The 25 scholars most cited alongside Devore S Culver, 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 | 2018 | 198 | |
| 2 | 2014 | 77 | |
| 3 | 2015 | 52 | |
| 4 | 2016 | 43 | |
| 5 | 2015 | 37 | |
| 6 | 2016 | 27 | |
| 7 | 2015 | 21 | |
| 8 | 2017 | 16 | |
| 9 | 2017 | 14 | |
| 10 | 2015 | 12 | |
| 11 | 2015 | 5 | |
| 12 | 2018 | 4 | |
| 13 | 2015 | 3 |
About Devore S Culver
Devore S Culver is a scholar working on Emergency Medicine, Artificial Intelligence, Health Information Management, Nephrology and Experimental and Cognitive Psychology, having authored 13 papers that have together received 509 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (9 papers), Emergency and Acute Care Studies (3 papers), Medical Coding and Health Information (2 papers), Artificial Intelligence in Healthcare (2 papers), Electronic Health Records Systems (1 paper), Hospital Admissions and Outcomes (1 paper), Healthcare Policy and Management (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Health Informatics (71 citations), Health Information Management (175 citations), Emergency Medicine (61 citations), Artificial Intelligence (184 citations) and Cardiology and Cardiovascular Medicine (54 citations). Devore S Culver has collaborated with scholars based in United States and China. Frequent co-authors include Bo Jin, Frank Stearns, Shiying Hao, Karl G. Sylvester, Eric Widen, Shaun T Alfreds, Chunqing Zhu, Xuefeng B. Ling, Doff B. McElhinney and Yan Zhang. Their work appears in journals such as Journal of Medical Internet Research, PLoS ONE, BMC Emergency Medicine, International Journal of Medical Informatics and JMIR Medical 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.