David A. Stephens

7.0k total citations
142 papers, 4.3k citations indexed

About

David A. Stephens is a scholar working on Statistics and Probability, Epidemiology and Artificial Intelligence. According to data from OpenAlex, David A. Stephens has authored 142 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Statistics and Probability, 28 papers in Epidemiology and 22 papers in Artificial Intelligence. Recurrent topics in David A. Stephens's work include Statistical Methods and Inference (36 papers), Advanced Causal Inference Techniques (31 papers) and Statistical Methods and Bayesian Inference (27 papers). David A. Stephens is often cited by papers focused on Statistical Methods and Inference (36 papers), Advanced Causal Inference Techniques (31 papers) and Statistical Methods and Bayesian Inference (27 papers). David A. Stephens collaborates with scholars based in Canada, United Kingdom and United States. David A. Stephens's co-authors include Chris Holmes, Ajay Jasra, Erica E. M. Moodie, Alistair R. Fielder, Merrick J. Moseley, Catherine E. Stewart, Michael P. Wallace, Nicholas A. Heard, Thomas S. Richardson and Πέτρος Δελλαπόρτας and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

David A. Stephens

140 papers receiving 4.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A. Stephens Canada 30 1.0k 995 709 512 494 142 4.3k
Mary J. Lindstrom United States 43 1.0k 1.0× 611 0.6× 578 0.8× 1.2k 2.3× 232 0.5× 126 8.9k
Nicholas P. Jewell United States 47 2.2k 2.2× 871 0.9× 930 1.3× 550 1.1× 160 0.3× 199 10.2k
Ciprian M. Crainiceanu United States 54 2.7k 2.6× 402 0.4× 1.0k 1.4× 725 1.4× 1.1k 2.3× 218 10.9k
Gregory Campbell United States 28 490 0.5× 875 0.9× 536 0.8× 1.1k 2.1× 860 1.7× 89 8.3k
Matthias Schmid Germany 42 773 0.8× 492 0.5× 704 1.0× 1.1k 2.1× 91 0.2× 321 6.6k
Lei Liu China 38 1.1k 1.1× 760 0.8× 309 0.4× 1.0k 2.0× 71 0.1× 265 5.5k
Richard M. Royall United States 31 1.7k 1.7× 407 0.4× 554 0.8× 346 0.7× 394 0.8× 73 6.2k
Noah Simon United States 22 990 1.0× 328 0.3× 678 1.0× 1.2k 2.3× 134 0.3× 77 4.5k
Gerhard Hommel Germany 38 859 0.8× 459 0.5× 166 0.2× 592 1.2× 110 0.2× 115 5.4k
Jonathan W. Bartlett United Kingdom 35 729 0.7× 426 0.4× 260 0.4× 306 0.6× 990 2.0× 92 5.5k

Countries citing papers authored by David A. Stephens

Since Specialization
Citations

This map shows the geographic impact of David A. Stephens'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 A. Stephens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Stephens more than expected).

Fields of papers citing papers by David A. Stephens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Stephens. 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 A. Stephens. The network helps show where David A. Stephens may publish in the future.

Co-authorship network of co-authors of David A. Stephens

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Stephens. A scholar is included among the top collaborators of David A. Stephens based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. Stephens. David A. Stephens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Haoyu, David A. Stephens, & Erica E. M. Moodie. (2024). An SIR‐based Bayesian framework for COVID‐19 infection estimation. Canadian Journal of Statistics. 52(4). 1 indexed citations
2.
Stephens, David A., et al.. (2024). Identifying Differential Methylation in Cancer Epigenetics via a Bayesian Functional Regression Model. Biomolecules. 14(6). 639–639. 1 indexed citations
3.
Moodie, Erica E. M., et al.. (2023). Bayesian inference for optimal dynamic treatment regimes in practice. The International Journal of Biostatistics. 19(2). 309–331. 2 indexed citations
4.
Farrell, Maxwell J., et al.. (2022). Predicting missing links in global host–parasite networks. Journal of Animal Ecology. 91(4). 715–726. 5 indexed citations
5.
Brenner, Bluma, Ruxandra-Ilinca Ibanescu, Nathan Osman, et al.. (2021). The Role of Phylogenetics in Unravelling Patterns of HIV Transmission towards Epidemic Control: The Quebec Experience (2002–2020). Viruses. 13(8). 1643–1643. 13 indexed citations
6.
Moghbel, Moayed, Md Asaduzzaman Shoeb, David L. Edwards, et al.. (2020). Output power fluctuations of distributed photovoltaic systems across an isolated power system: insights from high‐resolution data. IET Renewable Power Generation. 14(19). 3989–3995. 1 indexed citations
7.
Wolfson, David B., et al.. (2020). Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up. The International Journal of Biostatistics. 17(2). 283–293. 4 indexed citations
8.
Luo, Yu, et al.. (2017). Multivariate and Longitudinal Health System Indicators.. PubMed. 235. 266–270. 2 indexed citations
9.
Lang, Simon, et al.. (2015). Defining and calculating continuing loss for flood estimation. 193. 1 indexed citations
10.
Moodie, Erica E. M., et al.. (2015). Influence Re-weighted G-Estimation. The International Journal of Biostatistics. 12(1). 157–177. 1 indexed citations
11.
Stewart, Catherine E., Michael P. Wallace, David A. Stephens, Alistair R. Fielder, & Merrick J. Moseley. (2013). The effect of amblyopia treatment on stereoacuity. Journal of American Association for Pediatric Ophthalmology and Strabismus. 17(2). 166–173. 53 indexed citations
12.
Vincent, Caroline, David A. Stephens, Vivian G. Loo, et al.. (2013). Reductions in intestinal Clostridiales precede the development of nosocomial Clostridium difficile infection. Microbiome. 1(1). 18–18. 90 indexed citations
13.
Moodie, Erica E. M. & David A. Stephens. (2010). Special Issue on Causal Inference. The International Journal of Biostatistics. 6(2). Article 1–Article 1. 2 indexed citations
14.
Ertefaie, Ashkan & David A. Stephens. (2010). Comparing Approaches to Causal Inference for Longitudinal Data: Inverse Probability Weighting versus Propensity Scores. The International Journal of Biostatistics. 6(2). Article 14–Article 14. 26 indexed citations
15.
Moodie, Erica E. M., et al.. (2010). Model Checking with Residuals for g-estimation of Optimal Dynamic Treatment Regimes. The International Journal of Biostatistics. 6(2). Article 12–Article 12. 20 indexed citations
16.
Shiels, Carol, Niall M. Adams, Suhail A. Islam, David A. Stephens, & Paul S. Freemont. (2007). Quantitative Analysis of Cell Nucleus Organisation. PLoS Computational Biology. 3(7). e138–e138. 18 indexed citations
17.
Moseley, M J, et al.. (2005). Modelling of Treatment Dose–Response in Amblyopia. Investigative Ophthalmology & Visual Science. 46(13). 3595–3595. 2 indexed citations
18.
Moseley, M J, et al.. (2004). Optimization of the Dose–Response of Occlusion Therapy for Amblyopia: the ROTAS study. Investigative Ophthalmology & Visual Science. 45(13). 2579–2579. 3 indexed citations
19.
Fielder, A R, et al.. (2003). Visual Function of Children with Amblyopia During Refractive Adaptation and Occlusion Therapy. Investigative Ophthalmology & Visual Science. 44(13). 4245–4245. 1 indexed citations
20.
Masters, IB, et al.. (1994). Age‐related changes in oxygen saturation over the first year of life: A longitudinal study. Journal of Paediatrics and Child Health. 30(5). 423–428. 20 indexed citations

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.

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