Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Bootstrap Methods and their Application
19975.1k citationsA. C. Davison, D. V. Hinkleyprofile →
This map shows the geographic impact of A. C. Davison'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 A. C. Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. C. Davison more than expected).
This network shows the impact of papers produced by A. C. Davison. 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 A. C. Davison. The network helps show where A. C. Davison may publish in the future.
Co-authorship network of co-authors of A. C. Davison
This figure shows the co-authorship network connecting the top 25 collaborators of A. C. Davison.
A scholar is included among the top collaborators of A. C. Davison 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 A. C. Davison. A. C. Davison is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Davison, A. C., et al.. (2020). A global-local approach for detecting hotspots in multiple-response regression. Oxford University Research Archive (ORA) (University of Oxford).8 indexed citations
Huser, Raphaël, A. C. Davison, & Marc G. Genton. (2014). A comparative study of likelihood estimators for multivariate extremes. arXiv (Cornell University).1 indexed citations
10.
Nia, Vahid Partovi & A. C. Davison. (2014). A simple model-based approach to variable selection in classification and clustering. Les Cahiers du GERAD. 1–22.1 indexed citations
11.
Nia, Vahid Partovi & A. C. Davison. (2012). High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust. SHILAP Revista de lepidopterología.8 indexed citations
12.
Lovrić, Miodrag & A. C. Davison. (2011). Statistics of extremes. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1484–1487.1 indexed citations
Davison, A. C. & Sylvain Sardy. (2007). Resampling variance estimation in surveys with missing data. Journal of Official Statistics. 23(3). 371–386.5 indexed citations
Boldi, Marc‐Olivier & A. C. Davison. (2003). Discussion of Heffernan, J. and Tawn, J. A. (2004) A conditional approach for multivariate extreme values. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 66. 539–540.1 indexed citations
18.
Haworth, Daniel C., et al.. (2002). Eulerian Multiphase CFD Analysis of Particle Transport and Deposition in the Human Lung. APS. 55.5 indexed citations
19.
Canty, Angelo J., A. C. Davison, & D. V. Hinkley. (1996). Reliable confidence intervals. Discussion of ``Bootstrap confidence intervals'', by T. J. DiCiccio and B. Efron. Statistical Science. 11. 214–219.12 indexed citations
20.
Cox, Daniel & A. C. Davison. (1989). Prediction for small subgroups. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 325(1226). 185–187.7 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.