David Oakes
- Statistics and Probability top 0.1%
- Statistical Methods and Inference 22
- Statistical Methods and Bayesian Inference 18
- Statistical Distribution Estimation and Applications 13
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 34
- Neurological disorders and treatments 30
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- Genetic Neurodegenerative Diseases 22
- Nuclear Receptors and Signaling 7
- Finance top 1%
- Applied Mathematics top 1%
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- Mitochondrial Function and Pathology 10
- Co-authors
- Alan G. HawkesShirley EberlyIra ShoulsonAlan D. HutsonPamela H. MitchellAlvin I. MushlinMadeline H. SchmittJudith Gedney Baggs
- Journals
- Movement Disorders (14 papers)Biometrika (12 papers)Journal of the American Statistical Association (6 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David Oakes
124 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Statistics and Probability 1.7k
- Neurology 1.5k
- Cellular and Molecular Neuroscience 1.3k
- Finance 539
- Applied Mathematics 398
Countries citing papers authored by David Oakes
This map shows the geographic impact of David Oakes'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 Oakes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Oakes more than expected).
Fields of papers citing papers by David Oakes
This network shows the impact of papers produced by David Oakes. 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 Oakes. The network helps show where David Oakes may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Oakes, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 11 | |
| 8 | 2012 | 31 | |
| 9 | 2011 | 60 | |
| 10 | 2007 | 101 | |
| 11 | On the asymptotic relative efficiency of estimates from Cox's model | 2003 | 3 |
| 12 | 2001 | 8 | |
| 13 | 2000 | 1 | |
| 14 | 1996 | 21 | |
| 15 | 1994 | 83 | |
| 16 | 1994 | 0 | |
| 17 | 1990 | 47 | |
| 18 | Bivariate Survival Models Induced by Frailtiesbreakdown → | 1989 | 595 |
| 19 | 1985 | 44 | |
| 20 | The health and health care of doctors. | 1981 | 46 |
About David Oakes
David Oakes is a scholar working on Statistics and Probability, Neurology and Cellular and Molecular Neuroscience, having authored 129 papers that have together received 6.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (34 papers), Neurological disorders and treatments (30 papers), Genetic Neurodegenerative Diseases (22 papers), Statistical Methods and Inference (22 papers), Statistical Methods and Bayesian Inference (18 papers), Statistical Distribution Estimation and Applications (13 papers), Mitochondrial Function and Pathology (10 papers) and Nuclear Receptors and Signaling (7 papers). The work is most often cited by research in Statistics and Probability (1.7k citations), Neurology (1.5k citations) and Cellular and Molecular Neuroscience (1.3k citations). David Oakes has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alan G. Hawkes, Shirley Eberly, Ira Shoulson, Alan D. Hutson, Pamela H. Mitchell, Alvin I. Mushlin, Madeline H. Schmitt, Judith Gedney Baggs, Deborah H. Eldredge and Elise Kayson. Their work appears in journals such as Movement Disorders, Biometrika, Journal of the American Statistical Association, Neurology and Parkinsonism & Related Disorders.
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.