Davera Gabriel
Impact in
-
- Electronic Health Records Systems
-
- Scientific Computing and Data Management
Papers in
-
- Biomedical Text Mining and Ontologies 3
-
- Health Policy Implementation Science 2
- Co-authors
- Kent Anderson (1 shared paper)Julie Rainwater (1 shared paper)Estella M. Geraghty (1 shared paper)Ida Sim (3 shared papers)Simona Carini (3 shared papers)Nicholas Anderson (2 shared papers)Peter Tarczy‐Hornoch (1 shared paper)Harold P. Lehmann (2 shared papers)
- Journals
- Academic Medicine (1 paper)Journal of the American Medical Informatics Association (1 paper)Journal of Biomedical Informatics (1 paper)PubMed (6 papers)UNC Libraries (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Davera Gabriel
10 papers receiving 131 citations
Peers
Comparison fields: 5 of 48
- Health Information Management 33
- Information Systems and Management 28
- Statistics, Probability and Uncertainty 16
- Health Informatics 3
- Management Science and Operations Research 20
Countries citing papers authored by Davera Gabriel
This map shows the geographic impact of Davera Gabriel'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 Davera Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davera Gabriel more than expected).
Fields of papers citing papers by Davera Gabriel
This network shows the impact of papers produced by Davera Gabriel. 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 Davera Gabriel. The network helps show where Davera Gabriel may publish in the future.
Co-authors
The 25 scholars most cited alongside Davera Gabriel, 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 | 2011 | 37 | |
| 2 | The human studies database project: federating human studies design data using the ontology of clinical research. | 2010 | 28 |
| 3 | 2014 | 23 | |
| 4 | 2022 | 17 | |
| 5 | Development and evaluation of a study design typology for human research. | 2009 | 12 |
| 6 | Ontology mapping and data discovery for the translational investigator. | 2010 | 10 |
| 7 | 2010 | 4 | |
| 8 | Achieving Data Liquidity: Lessons Learned from Analysis of 38 Clinical Registries (The Duke-Pew Data Interoperability Project. | 2019 | 3 |
| 9 | Death: The Simple Clinical Trial Endpoint. | 2019 | 3 |
| 10 | 2020 | 1 |
About Davera Gabriel
Davera Gabriel is a scholar working on Molecular Biology, General Health Professions, Information Systems and Management, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 138 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Scientific Computing and Data Management (3 papers), Ethics in Clinical Research (3 papers), Health Policy Implementation Science (2 papers), Semantic Web and Ontologies (2 papers), COVID-19 diagnosis using AI (1 paper), Artificial Intelligence in Healthcare (1 paper) and Delphi Technique in Research (1 paper). The work is most often cited by research in Health Information Management (33 citations), Information Systems and Management (28 citations), Statistics, Probability and Uncertainty (16 citations), Health Informatics (3 citations) and Management Science and Operations Research (20 citations). Davera Gabriel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kent Anderson, Julie Rainwater, Estella M. Geraghty, Ida Sim, Simona Carini, Nicholas Anderson, Peter Tarczy‐Hornoch, Harold P. Lehmann, Herbert K. Hagler and Samson W. Tu. Their work appears in journals such as Academic Medicine, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, PubMed and UNC Libraries.
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.