John Chelico
Impact in
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- Electronic Health Records Systems
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- COVID-19 Clinical Research Studies
Papers in
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- Patient Satisfaction in Healthcare 2
- Health Policy Implementation Science 1
- Health Sciences Research and Education 1
- Healthcare cost, quality, practices 1
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- Electronic Health Records Systems 4
- Co-authors
- Karthik Natarajan (1 shared paper)Rita Kukafka (1 shared paper)Connie Chan (1 shared paper)Sharib Khan (1 shared paper)Jessica S. Ancker (1 shared paper)Michael Qiu (5 shared papers)Moussa Saleh (1 shared paper)James Gabriels (1 shared paper)
- Journals
- Journal of the American Academy of Dermatology (1 paper)Heart Rhythm (1 paper)Journal of Biomedical Informatics (1 paper)Intelligence-Based Medicine (1 paper)JMIR Research Protocols (1 paper)
- Partner nations
- United States
In The Last Decade
John Chelico
8 papers receiving 229 citations
Peers
Comparison fields: 5 of 67
- Health Information Management 65
- Infectious Diseases 76
- Health Informatics 5
- Neurology 42
- Dermatology 21
Countries citing papers authored by John Chelico
This map shows the geographic impact of John Chelico'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 John Chelico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chelico more than expected).
Fields of papers citing papers by John Chelico
This network shows the impact of papers produced by John Chelico. 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 John Chelico. The network helps show where John Chelico may publish in the future.
Co-authors
The 25 scholars most cited alongside John Chelico, 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 | 2007 | 118 | |
| 2 | 2021 | 70 | |
| 3 | 2020 | 22 | |
| 4 | 2023 | 10 | |
| 5 | Designing a Clinical Data Warehouse Architecture to Support Quality Improvement Initiatives. | 2016 | 9 |
| 6 | 2023 | 6 | |
| 7 | 2022 | 4 | |
| 8 | Architectural design of a data warehouse to support operational and analytical queries across disparate clinical databases. | 2007 | 4 |
| 9 | 2024 | 0 |
About John Chelico
John Chelico is a scholar working on General Health Professions, Health Information Management, Public Health, Environmental and Occupational Health, Management Science and Operations Research and Infectious Diseases, having authored 9 papers that have together received 243 indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Patient Satisfaction in Healthcare (2 papers), Data Quality and Management (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Health Policy Implementation Science (1 paper), Health Sciences Research and Education (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Health Information Management (65 citations), Infectious Diseases (76 citations), Health Informatics (5 citations), Neurology (42 citations) and Dermatology (21 citations). John Chelico has collaborated with scholars based in United States. Frequent co-authors include Karthik Natarajan, Rita Kukafka, Connie Chan, Sharib Khan, Jessica S. Ancker, Michael Qiu, Moussa Saleh, James Gabriels, Martin Lesser and Joanna Fishbein. Their work appears in journals such as Journal of the American Academy of Dermatology, Heart Rhythm, Journal of Biomedical Informatics, Intelligence-Based Medicine and JMIR Research Protocols.
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.