K. R. W. Brewer

1.4k total citations
32 papers, 757 citations indexed

About

K. R. W. Brewer is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, K. R. W. Brewer has authored 32 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in K. R. W. Brewer's work include Survey Sampling and Estimation Techniques (9 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Process Monitoring (6 papers). K. R. W. Brewer is often cited by papers focused on Survey Sampling and Estimation Techniques (9 papers), Statistical Methods and Bayesian Inference (7 papers) and Advanced Statistical Process Monitoring (6 papers). K. R. W. Brewer collaborates with scholars based in Australia, United States and Libya. K. R. W. Brewer's co-authors include Muhammad Hanif, A. J. Scott, Siu‐Ming Tam, Muhammad Hanif, William Fellner, C. J. Skinner, Muhammad Hanif, Paul Jepson, David E. Bignell and Germano Guarim Neto and has published in prestigious journals such as Journal of the American Statistical Association, The Astrophysical Journal and The Quarterly Journal of Economics.

In The Last Decade

K. R. W. Brewer

31 papers receiving 624 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. R. W. Brewer Australia 14 392 156 134 119 65 32 757
Susan E. Hills United Kingdom 3 354 0.9× 174 1.1× 129 1.0× 84 0.7× 58 0.9× 4 661
W. H. Williams United States 10 206 0.5× 73 0.5× 67 0.5× 131 1.1× 74 1.1× 33 609
George E. Policello United States 8 298 0.8× 83 0.5× 150 1.1× 64 0.5× 51 0.8× 10 643
Tore Dalenius Sweden 14 325 0.8× 268 1.7× 95 0.7× 118 1.0× 66 1.0× 38 912
Friedrich Schmid Germany 16 271 0.7× 79 0.5× 204 1.5× 88 0.7× 77 1.2× 39 849
Vasco d'Orey United States 4 206 0.5× 55 0.4× 209 1.6× 59 0.5× 33 0.5× 8 622
M. R. Sampford United Kingdom 14 307 0.8× 105 0.7× 40 0.3× 103 0.9× 77 1.2× 15 699
J. N. K. Rao United States 18 935 2.4× 281 1.8× 103 0.8× 126 1.1× 110 1.7× 43 1.3k
Carl Erik Särndal Canada 7 283 0.7× 92 0.6× 48 0.4× 62 0.5× 29 0.4× 16 444
Yves Tillé Switzerland 15 348 0.9× 154 1.0× 147 1.1× 59 0.5× 66 1.0× 71 784

Countries citing papers authored by K. R. W. Brewer

Since Specialization
Citations

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

Fields of papers citing papers by K. R. W. Brewer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. R. W. Brewer. 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 K. R. W. Brewer. The network helps show where K. R. W. Brewer may publish in the future.

Co-authorship network of co-authors of K. R. W. Brewer

This figure shows the co-authorship network connecting the top 25 collaborators of K. R. W. Brewer. A scholar is included among the top collaborators of K. R. W. Brewer 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 K. R. W. Brewer. K. R. W. Brewer 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.
Brewer, K. R. W.. (2013). Three controversies in the history of survey sampling. ANU Open Research (Australian National University). 12 indexed citations
2.
Gillison, Andrew N., David E. Bignell, K. R. W. Brewer, et al.. (2013). Plant functional types and traits as biodiversity indicators for tropical forests: two biogeographically separated case studies including birds, mammals and termites. Biodiversity and Conservation. 22(9). 1909–1930. 31 indexed citations
3.
Brewer, K. R. W., et al.. (2011). Understanding and Using Fisher's p . Part 2: A Reference Bayesian Hypothesis Test. ANU Open Research (Australian National University). 1 indexed citations
4.
Brewer, K. R. W.. (2000). Cosmetic calibration with unequal probability sampling. ANU Open Research (Australian National University). 17 indexed citations
5.
Brewer, K. R. W.. (1999). Design-Based or Prediction-Based Inference? Stratified Random vs Stratified Balanced Sampling. International Statistical Review. 67(1). 35–35. 5 indexed citations
6.
Brewer, K. R. W.. (1999). Design‐based or Prediction‐based Inference? Stratified Random vs Stratified Balanced Sampling. International Statistical Review. 67(1). 35–47. 34 indexed citations
7.
Brewer, K. R. W. & Siu‐Ming Tam. (1990). IS THE ASSUMPTION OF UNIFORM INTRA‐CLASS CORRELATION EVER NEEDED?. Australian Journal of Statistics. 32(3). 411–423. 2 indexed citations
8.
Brewer, K. R. W., Muhammad Hanif, & Siu‐Ming Tam. (1988). How Nearly Can Model-Based Prediction and Design-Based Estimation Be Reconciled?. Journal of the American Statistical Association. 83(401). 128–132. 17 indexed citations
9.
Brewer, K. R. W., et al.. (1988). How Nearly Can Model-Based Prediction and Design-Based Estimation Be Reconciled?. Journal of the American Statistical Association. 83(401). 128–128. 4 indexed citations
10.
Brewer, K. R. W., et al.. (1983). Sampling With Unequal Probabilities. Lecture notes in statistics. 82 indexed citations
11.
Hanif, Muhammad & K. R. W. Brewer. (1980). Sampling with Unequal Probabilities without Replacement: A Review. International Statistical Review. 48(3). 317–317. 31 indexed citations
12.
Brewer, K. R. W.. (1979). Seasonal adjustment of Arima series. Économie appliquée. 32(1). 7–22. 5 indexed citations
13.
Brewer, K. R. W.. (1979). A Class of Robust Sampling Designs for Large-Scale Surveys. Journal of the American Statistical Association. 74(368). 911–911. 11 indexed citations
14.
Scott, A. J., et al.. (1978). Finite Population Sampling and Robust Estimation. Journal of the American Statistical Association. 73(362). 359–361. 20 indexed citations
15.
Brewer, K. R. W.. (1973). Some consequences of temporal aggregation and systematic sampling for ARMA and ARMAX models. Journal of Econometrics. 1(2). 133–154. 121 indexed citations
16.
Brewer, K. R. W., et al.. (1973). THE EFFECT OF SAMPLE STRUCTURE ON ANALYTICAL SURVEYS1,2. Australian Journal of Statistics. 15(3). 145–152. 26 indexed citations
17.
Brewer, K. R. W., et al.. (1972). SELECTING SEVERAL SAMPLES FROM A SINGLE POPULATION. Australian Journal of Statistics. 14(3). 231–239. 34 indexed citations
18.
Brewer, K. R. W.. (1967). A Note on Fellegi's Method of Sampling without Replacement with Probability Proportional to Size. Journal of the American Statistical Association. 62(317). 79–85. 6 indexed citations
19.
Brewer, K. R. W.. (1963). Decisions Under Uncertainty: Comment. The Quarterly Journal of Economics. 77(1). 159–159. 13 indexed citations
20.
Brewer, K. R. W., et al.. (1962). SAMPLES OF TWO UNITS DRAWN WITH UNEQUAL PROBABILITIES WITHOUT REPLACEMENT1. Australian Journal of Statistics. 4(3). 89–100. 9 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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