Shane P. Stenner
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- Electronic Health Records Systems 6
- Toxicology top 5%
- Geriatrics and Gerontology top 10%
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- Medication Adherence and Compliance 2
- Artificial Intelligence top 5%
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- Biomedical Text Mining and Ontologies 3
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- Healthcare Systems and Technology 3
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- Knowledge Management and Sharing 1
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- Technology Adoption and User Behaviour 1
- Personal Information Management and User Behavior 1
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- Clinical practice guidelines implementation 1
- Co-authors
- Joshua C. DennyK. Brandon JohnsonHanzhang XuSon DoanLemuel R. WaitmanKevin B. JohnsonGretchen Purcell JacksonS. Trent Rosenbloom
- Journals
- Journal of the American Medical Informatics Association (5 papers)Applied Clinical Informatics (3 papers)Journal of the American Medical Directors Association (1 paper)
- Partner nations
- United States
In The Last Decade
Shane P. Stenner
11 papers receiving 544 citations
Peers
Comparison fields: 5 of 90
- Health Information Management 133
- Toxicology 53
- Geriatrics and Gerontology 33
- Family Practice 16
- Artificial Intelligence 209
Countries citing papers authored by Shane P. Stenner
This map shows the geographic impact of Shane P. Stenner'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 Shane P. Stenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane P. Stenner more than expected).
Fields of papers citing papers by Shane P. Stenner
This network shows the impact of papers produced by Shane P. Stenner. 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 Shane P. Stenner. The network helps show where Shane P. Stenner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shane P. Stenner, 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 | 2023 | 1 | |
| 2 | 2023 | 12 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 3 | |
| 5 | 2016 | 14 | |
| 6 | 2011 | 18 | |
| 7 | 2011 | 60 | |
| 8 | 2011 | 14 | |
| 9 | 2011 | 22 | |
| 10 | 2010 | 389 | |
| 11 | 2010 | 28 |
About Shane P. Stenner
Shane P. Stenner is a scholar working on Health Information Management, Family Practice, Organizational Behavior and Human Resource Management, Geriatrics and Gerontology and Information Systems and Management, having authored 11 papers that have together received 563 indexed citations. Recurring topics across this work include Electronic Health Records Systems (6 papers), Biomedical Text Mining and Ontologies (3 papers), Healthcare Systems and Technology (3 papers), Medication Adherence and Compliance (2 papers), Knowledge Management and Sharing (1 paper), Technology Adoption and User Behaviour (1 paper), Clinical practice guidelines implementation (1 paper) and Personal Information Management and User Behavior (1 paper). The work is most often cited by research in Health Information Management (133 citations), Toxicology (53 citations), Geriatrics and Gerontology (33 citations), Family Practice (16 citations) and Artificial Intelligence (209 citations). Shane P. Stenner has collaborated with scholars based in United States. Frequent co-authors include Joshua C. Denny, K. Brandon Johnson, Hanzhang Xu, Son Doan, Lemuel R. Waitman, Kevin B. Johnson, Gretchen Purcell Jackson, S. Trent Rosenbloom, Qingxia Chen and Chandra Y. Osborn. Their work appears in journals such as Journal of the American Medical Informatics Association, Applied Clinical Informatics, Journal of the American Medical Directors Association, CHEST Journal and Hepatology Communications.
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.