P. Hall
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in
-
- Neural Networks and Applications 2
- Bayesian Methods and Mixture Models 2
-
- Statistical Methods and Inference 7
- Statistical Methods and Bayesian Inference 2
- Advanced Statistical Methods and Models 2
- Co-authors
- Aurore Delaigle (5 shared papers)Frédéric Ferraty (1 shared paper)Philippe Vieu (1 shared paper)Alfred Stein (1 shared paper)Andrew P. Robinson (1 shared paper)G. A. Young (1 shared paper)Douglas P. Kennedy (1 shared paper)Jie Xue (2 shared papers)
- Journals
- Biometrika (10 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (1 paper)The Astrophysical Journal (1 paper)Journal of the American Statistical Association (1 paper)JAMA Pediatrics (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
P. Hall
17 papers receiving 314 citations
Peers
Comparison fields: 5 of 90
- Statistics and Probability 169
- Statistics, Probability and Uncertainty 30
- Finance 26
- Analytical Chemistry 25
- Artificial Intelligence 77
Countries citing papers authored by P. Hall
This map shows the geographic impact of P. Hall'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 P. Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Hall more than expected).
Fields of papers citing papers by P. Hall
This network shows the impact of papers produced by P. Hall. 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 P. Hall. The network helps show where P. Hall may publish in the future.
Co-authors
The 21 scholars most cited alongside P. Hall, 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 | 2010 | 59 | |
| 2 | 2012 | 49 | |
| 3 | 2000 | 39 | |
| 4 | 1996 | 38 | |
| 5 | 2009 | 32 | |
| 6 | 2014 | 23 | |
| 7 | 2016 | 23 | |
| 8 | 1993 | 22 | |
| 9 | 2015 | 13 | |
| 10 | 1983 | 8 | |
| 11 | 2019 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2013 | 3 | |
| 14 | ASYMPTOTIC DISTRIBUTIONS OF ESTIMATORS OF EIGENVALUES AND EIGENFUNCTIONS IN FUNCTIONAL DATA | 2008 | 3 |
| 15 | 2025 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 2012 | 1 |
About P. Hall
P. Hall is a scholar working on Artificial Intelligence, Statistics and Probability, Molecular Biology, Infectious Diseases and Astronomy and Astrophysics, having authored 17 papers that have together received 323 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Gene expression and cancer classification (4 papers), SARS-CoV-2 detection and testing (2 papers), Neural Networks and Applications (2 papers), Statistical Methods and Bayesian Inference (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Bayesian Methods and Mixture Models (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (169 citations), Statistics, Probability and Uncertainty (30 citations), Finance (26 citations), Analytical Chemistry (25 citations) and Artificial Intelligence (77 citations). P. Hall has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Aurore Delaigle, Frédéric Ferraty, Philippe Vieu, Alfred Stein, Andrew P. Robinson, G. A. Young, Douglas P. Kennedy, Jie Xue, Iain M. Johnstone and Mark F. Bennett. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series A (Statistics in Society), The Astrophysical Journal, Journal of the American Statistical Association and JAMA Pediatrics.
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.