Peter Hall

7.3k total citations
108 papers, 4.6k citations indexed

About

Peter Hall is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Peter Hall has authored 108 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Statistics and Probability, 39 papers in Artificial Intelligence and 16 papers in Statistics, Probability and Uncertainty. Recurrent topics in Peter Hall's work include Statistical Methods and Inference (64 papers), Advanced Statistical Methods and Models (36 papers) and Statistical Methods and Bayesian Inference (31 papers). Peter Hall is often cited by papers focused on Statistical Methods and Inference (64 papers), Advanced Statistical Methods and Models (36 papers) and Statistical Methods and Bayesian Inference (31 papers). Peter Hall collaborates with scholars based in Australia, United States and United Kingdom. Peter Hall's co-authors include Aurore Delaigle, Tommaso Cai, Jeffrey S. Racine, B. La Scala, Joël L. Horowitz, Qi Li, Thomas J. DiCiccio, Joseph P. Romano, Song Xi Chen and H. R. Miller and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biometrika.

In The Last Decade

Peter Hall

104 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Hall Australia 36 3.1k 1.2k 565 397 366 108 4.6k
Ya’acov Ritov Israel 31 3.4k 1.1× 1.4k 1.2× 457 0.8× 433 1.1× 373 1.0× 118 5.9k
Keith Knight Canada 21 2.1k 0.7× 828 0.7× 495 0.9× 675 1.7× 380 1.0× 37 4.2k
Hua Liang United States 34 3.2k 1.1× 709 0.6× 445 0.8× 250 0.6× 455 1.2× 170 4.5k
Sara van de Geer Switzerland 22 2.4k 0.8× 1.3k 1.1× 357 0.6× 222 0.6× 361 1.0× 64 4.7k
Yuhong Yang United States 28 1.5k 0.5× 1.0k 0.9× 387 0.7× 243 0.6× 329 0.9× 124 3.9k
Song Xi Chen China 35 2.6k 0.8× 1.0k 0.9× 429 0.8× 816 2.1× 211 0.6× 121 4.3k
Philippe Vieu France 39 4.2k 1.4× 1.9k 1.7× 361 0.6× 657 1.7× 721 2.0× 120 5.6k
Kjell A. Doksum United States 29 2.5k 0.8× 877 0.8× 470 0.8× 361 0.9× 211 0.6× 82 4.9k
Jinchi Lv United States 17 2.3k 0.8× 1.1k 0.9× 317 0.6× 327 0.8× 257 0.7× 42 3.9k
Frédéric Ferraty France 32 3.3k 1.1× 1.5k 1.3× 257 0.5× 421 1.1× 545 1.5× 59 4.3k

Countries citing papers authored by Peter Hall

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter 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 Peter Hall. The network helps show where Peter Hall may publish in the future.

Co-authorship network of co-authors of Peter Hall

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Hall. A scholar is included among the top collaborators of Peter Hall 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 Peter Hall. Peter Hall 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.
Doosti, Hassan & Peter Hall. (2015). Making a Non-Parametric Density Estimator More Attractive, and More Accurate, by Data Perturbation. Journal of the Royal Statistical Society Series B (Statistical Methodology). 78(2). 445–462. 6 indexed citations
2.
Xue, Jing‐Hao & Peter Hall. (2014). Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(5). 1109–1112. 50 indexed citations
3.
Carroll, Raymond J., Aurore Delaigle, & Peter Hall. (2013). UNEXPECTED PROPERTIES OF BANDWIDTH CHOICE WHEN SMOOTHING DISCRETE DATA FOR CONSTRUCTING A FUNCTIONAL DATA CLASSIFIER. 8 indexed citations
4.
Carroll, Raymond J., Aurore Delaigle, & Peter Hall. (2011). Testing and Estimating Shape-Constrained Nonparametric Density and Regression in the Presence of Measurement Error. Journal of the American Statistical Association. 106(493). 191–202. 39 indexed citations
5.
Hall, Peter & Johanna F. Ziegel. (2011). Distribution estimators and confidence intervals for stereological volumes. Biometrika. 98(2). 417–431. 4 indexed citations
6.
Delaigle, Aurore & Peter Hall. (2010). Defining probability density for a distribution of random functions. The Annals of Statistics. 38(2). 82 indexed citations
7.
Carroll, Raymond J., Aurore Delaigle, & Peter Hall. (2009). Nonparametric Prediction in Measurement Error Models. Journal of the American Statistical Association. 104(487). 993–1003. 36 indexed citations
8.
Hall, Peter & H. R. Miller. (2009). Using Generalized Correlation to Effect Variable Selection in Very High Dimensional Problems. Journal of Computational and Graphical Statistics. 18(3). 533–550. 123 indexed citations
9.
Hall, Peter & Jiashun Jin. (2008). Properties of higher criticism under strong dependence. The Annals of Statistics. 36(1). 37 indexed citations
10.
Hall, Peter, et al.. (2007). A Method for Projecting Functional Data Onto a Low-Dimensional Space. Journal of Computational and Graphical Statistics. 16(4). 799–812. 10 indexed citations
11.
Vial, Céline & Peter Hall. (2006). Assessing extrema of empirical principal component functions. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations
12.
Cai, Tommaso & Peter Hall. (2006). Prediction in functional linear regression. The Annals of Statistics. 34(5). 367 indexed citations
13.
Hall, Peter & Qiying Wang. (2004). Exact convergence rate and leading term in central limit theorem for student’s t statistic. The Annals of Probability. 32(2). 18 indexed citations
14.
Hall, Peter, Jeffrey S. Racine, & Qi Li. (2004). Cross-Validation and the Estimation of Conditional Probability Densities. Journal of the American Statistical Association. 99(468). 1015–1026. 328 indexed citations
15.
Hall, Peter, et al.. (2001). ON THE CALIBRATION OF SILVERMAN'S TEST FOR MULTIMODALITY. Statistica Sinica. 59 indexed citations
16.
Hall, Peter, Burkhardt Seifert, & Berwin A. Turlach. (2001). On Adaptation to sparse design in bivariate local linear regression. Journal of the Korean Statistical Society. 30(2). 231–246. 2 indexed citations
17.
Hall, Peter. (1998). UNDERSTANDING THE EFFECTS OF APPLYING RUN RULES TO X¯ CHARTS. Quality Engineering. 11(1). 111–131. 1 indexed citations
18.
Chen, Song Xi & Peter Hall. (1993). Smoothed Empirical Likelihood Confidence Intervals for Quantiles. The Annals of Statistics. 21(3). 151 indexed citations
19.
Hall, Peter. (1982). On the Rate of Convergence in the Weak Law of Large Numbers. The Annals of Probability. 10(2). 4 indexed citations
20.
Hall, Peter. (1979). On the Skorokhod Representation Approch to Martingale Invariance Principles. The Annals of Probability. 7(2). 5 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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