David Page
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Cryptography and Data Security
- Bayesian Modeling and Causal Inference
- Logic, Reasoning, and Knowledge
- Health Informatics top 5%
Papers in
-
- Machine Learning in Healthcare 11
- Bayesian Modeling and Causal Inference 11
- Logic, Reasoning, and Knowledge 9
- Semantic Web and Ontologies 8
-
- Computational Drug Discovery Methods 9
- Co-authors
- Somesh Jha (2 shared papers)Ashwin Srinivasan (7 shared papers)Matt Fredrikson (1 shared paper)Simon M. Lin (1 shared paper)Éric Lantz (1 shared paper)Thomas Ristenpart (1 shared paper)Julie C. Mitchell (1 shared paper)Steven J. Darnell (1 shared paper)
- Journals
- Bioinformatics (4 papers)Lecture notes in computer science (22 papers)Machine Learning (2 papers)Journal of Biomedical Informatics (2 papers)Epilepsy Research (1 paper)
- Partner nations
- United StatesPortugalUnited Kingdom
In The Last Decade
David Page
100 papers receiving 2.2k citations
David Page's Hit Papers
Peers
Comparison fields: 5 of 154
- Artificial Intelligence 1.1k
- Health Informatics 44
- Health Information Management 89
- Computational Theory and Mathematics 269
- Information Systems 338
Countries citing papers authored by David Page
This map shows the geographic impact of David Page'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 David Page with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Page more than expected).
Fields of papers citing papers by David Page
This network shows the impact of papers produced by David Page. 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 David Page. The network helps show where David Page may publish in the future.
Co-authors
The 25 scholars most cited alongside David Page, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing. Hit paper breakdown → | 2014 | 377 |
| 2 | 2007 | 169 | |
| 3 | 1998 | 105 | |
| 4 | 2013 | 97 | |
| 5 | 2012 | 58 | |
| 6 | 2018 | 57 | |
| 7 | 2003 | 56 | |
| 8 | A probabilistic learning approach to whole-genome operon prediction. | 2000 | 55 |
| 9 | 2009 | 52 | |
| 10 | 2018 | 47 | |
| 11 | 2014 | 47 | |
| 12 | 2014 | 41 | |
| 13 | Relational Data Mining with Inductive Logic Programming for Link Discovery | 2002 | 40 |
| 14 | 2014 | 40 | |
| 15 | 2019 | 39 | |
| 16 | 2003 | 39 | |
| 17 | 2005 | 38 | |
| 18 | 2012 | 38 | |
| 19 | 2008 | 37 | |
| 20 | 2017 | 36 |
About David Page
David Page is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Toxicology and Molecular Biology, having authored 104 papers that have together received 2.3k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Data Mining Algorithms and Applications (13 papers), Machine Learning in Healthcare (11 papers), Bayesian Modeling and Causal Inference (11 papers), Logic, Reasoning, and Knowledge (9 papers), Computational Drug Discovery Methods (9 papers), Semantic Web and Ontologies (8 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Health Informatics (44 citations), Health Information Management (89 citations), Computational Theory and Mathematics (269 citations) and Information Systems (338 citations). David Page has collaborated with scholars based in United States, Portugal and United Kingdom. Frequent co-authors include Somesh Jha, Ashwin Srinivasan, Matt Fredrikson, Simon M. Lin, Éric Lantz, Thomas Ristenpart, Julie C. Mitchell, Steven J. Darnell, Peggy L. Peissig and Vı́tor Santos Costa. Their work appears in journals such as Bioinformatics, Lecture notes in computer science, Machine Learning, Journal of Biomedical Informatics and Epilepsy Research.
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.