David Page
Impact in
- Health Informatics top 5%
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
- Machine Learning in Healthcare
- Cryptography and Data Security
Papers in
-
- Pharmacovigilance and Adverse Drug Reactions 7
-
- Machine Learning in Healthcare 11
- Bayesian Modeling and Causal Inference 9
- Topic Modeling 6
- Co-authors
- Julie C. MitchellThomas RistenpartSomesh JhaSimon LinÉric LantzMatt FredriksonSteven J. DarnellPeggy Peissig
- Journals
- Bioinformatics (4 papers)Machine Learning (2 papers)Journal of Biomedical Informatics (2 papers)Journal of Machine Learning Research (2 papers)European Journal of Human Genetics (1 paper)
- Partner nations
- United StatesPortugalUnited Kingdom
In The Last Decade
David Page
86 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Health Informatics 42
- Artificial Intelligence 766
- Health Information Management 102
- Computational Theory and Mathematics 188
- Toxicology 39
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 4 | |
| 2 | 2019 | 26 | |
| 3 | Predicting Drug-Drug Interactions from Molecular Structure Images | 2019 | 1 |
| 4 | 2017 | 6 | |
| 5 | 2017 | 22 | |
| 6 | Embattled media : democracy, governance and reform in Sri Lanka | 2015 | 0 |
| 7 | 2015 | 9 | |
| 8 | Learning Heterogeneous Hidden Markov Random Fields. | 2014 | 4 |
| 9 | 2014 | 35 | |
| 10 | 2013 | 96 | |
| 11 | 2012 | 11 | |
| 12 | Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions | 2009 | 1 |
| 13 | 2009 | 13 | |
| 14 | Change of representation for statistical relational learning | 2007 | 20 |
| 15 | An Integrated Approach to Feature Construction and Model Building for Drug Activity Prediction | 2007 | 1 |
| 16 | Video-based multi-camera automated surveillance of high value assets in nuclear facilities | 2007 | 2 |
| 17 | 2007 | 156 | |
| 18 | View learning for statistical relational learning: with an application to mammography | 2005 | 27 |
| 19 | Ilp: a short look back and a longer look forward | 2003 | 19 |
| 20 | Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes | 2000 | 3 |
About David Page
David Page is a scholar working on Toxicology, Artificial Intelligence, Computational Theory and Mathematics, Statistics and Probability and Health Information Management, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (18 papers), Machine Learning in Healthcare (11 papers), Computational Drug Discovery Methods (11 papers), Data Mining Algorithms and Applications (9 papers), Genetic Associations and Epidemiology (9 papers), Bayesian Modeling and Causal Inference (9 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers) and Topic Modeling (6 papers). The work is most often cited by research in Health Informatics (42 citations), Artificial Intelligence (766 citations), Health Information Management (102 citations), Computational Theory and Mathematics (188 citations) and Toxicology (39 citations). David Page has collaborated with scholars based in United States, Portugal and United Kingdom. Frequent co-authors include Julie C. Mitchell, Thomas Ristenpart, Somesh Jha, Simon Lin, Éric Lantz, Matt Fredrikson, Steven J. Darnell, Peggy Peissig, Elizabeth S. Burnside and Jude Shavlik. Their work appears in journals such as Bioinformatics, Machine Learning, Journal of Biomedical Informatics, Journal of Machine Learning Research and European Journal of Human Genetics.
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.