Darcy Davis
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Health Informatics top 5%
Papers in
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- Machine Learning in Healthcare 6
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- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 2
- Co-authors
- Nitesh V. Chawla (9 shared papers)Ryan N. Lichtenwalter (2 shared papers)Albert-László Barabási (2 shared papers)Nicholas A. Christakis (2 shared papers)Nicholas Blumm (1 shared paper)James E. Gray (1 shared paper)DeWayne M. Pursley (1 shared paper)Alon Geva (1 shared paper)
- Journals
- Journal of Neurochemistry (1 paper)BMC Medical Research Methodology (1 paper)Data Mining and Knowledge Discovery (1 paper)Journal of Biomedical Informatics (1 paper)Journal of General Internal Medicine (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Darcy Davis
15 papers receiving 830 citations
Darcy Davis's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Information Management 188
- Health Informatics 25
- Statistical and Nonlinear Physics 127
- Artificial Intelligence 313
- Medical Laboratory Technology 8
Countries citing papers authored by Darcy Davis
This map shows the geographic impact of Darcy Davis'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 Darcy Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darcy Davis more than expected).
Fields of papers citing papers by Darcy Davis
This network shows the impact of papers produced by Darcy Davis. 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 Darcy Davis. The network helps show where Darcy Davis may publish in the future.
Co-authors
The 20 scholars most cited alongside Darcy Davis, 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 | Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework Hit paper breakdown → | 2013 | 291 |
| 2 | 2009 | 106 | |
| 3 | 2011 | 85 | |
| 4 | 2008 | 74 | |
| 5 | 2011 | 56 | |
| 6 | 2010 | 54 | |
| 7 | 2012 | 50 | |
| 8 | 2013 | 48 | |
| 9 | 2016 | 28 | |
| 10 | 2006 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2015 | 17 | |
| 13 | 2012 | 12 | |
| 14 | 2006 | 7 | |
| 15 | 2010 | 1 |
About Darcy Davis
Darcy Davis is a scholar working on Artificial Intelligence, Molecular Biology, Health Information Management, Epidemiology and Communication, having authored 15 papers that have together received 866 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare (3 papers), Bioinformatics and Genomic Networks (3 papers), Chronic Disease Management Strategies (3 papers), Wikis in Education and Collaboration (2 papers), Recommender Systems and Techniques (2 papers), Open Education and E-Learning (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Health Information Management (188 citations), Health Informatics (25 citations), Statistical and Nonlinear Physics (127 citations), Artificial Intelligence (313 citations) and Medical Laboratory Technology (8 citations). Darcy Davis has collaborated with scholars based in United States and China. Frequent co-authors include Nitesh V. Chawla, Ryan N. Lichtenwalter, Albert-László Barabási, Nicholas A. Christakis, Nicholas Blumm, James E. Gray, DeWayne M. Pursley, Alon Geva, Rishi Sikka and Jing Li. Their work appears in journals such as Journal of Neurochemistry, BMC Medical Research Methodology, Data Mining and Knowledge Discovery, Journal of Biomedical Informatics and Journal of General Internal Medicine.
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.