Raymond L. Chambers

2.0k total citations
52 papers, 1.1k citations indexed

About

Raymond L. Chambers is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Raymond L. Chambers has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistics and Probability, 13 papers in Management Science and Operations Research and 12 papers in Economics and Econometrics. Recurrent topics in Raymond L. Chambers's work include Statistical Methods and Bayesian Inference (23 papers), Statistical Methods and Inference (21 papers) and Advanced Statistical Methods and Models (11 papers). Raymond L. Chambers is often cited by papers focused on Statistical Methods and Bayesian Inference (23 papers), Statistical Methods and Inference (21 papers) and Advanced Statistical Methods and Models (11 papers). Raymond L. Chambers collaborates with scholars based in Australia, United Kingdom and Italy. Raymond L. Chambers's co-authors include Alan H. Dorfman, A. H. Welsh, Hukum Chandra, Thomas E. Wehrly, David Steel, C. R. Heathcote, Li‐Chun Zhang, R. B. Cunningham, Suojin Wang and Nicola Salvati and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and American Political Science Review.

In The Last Decade

Raymond L. Chambers

48 papers receiving 976 citations

Peers

Raymond L. Chambers

MSOR

SPS

Kevin M. Quinn United States

Iván Fernández‐Val United States

Robert E. Fay United States

Jong Hee Park South Korea

Jeff Gill United States

Kristian Lum United States

Ray Chambers Australia

Morris H. Hansen United States

Yoel Haitovsky Israel

Yves Tillé Switzerland

Kevin M. Quinn United States

Raymond L. Chambers

284 ×0.4

63 ×0.3

MSOR

207 ×1.1

164 ×1.0

210 ×1.6

SPS

Citations per year, relative to Raymond L. Chambers Raymond L. Chambers (= 1×) peers Kevin M. Quinn

Countries citing papers authored by Raymond L. Chambers

Since Specialization

Citations

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

Fields of papers citing papers by Raymond L. Chambers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raymond L. Chambers. 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 Raymond L. Chambers. The network helps show where Raymond L. Chambers may publish in the future.

Co-authorship network of co-authors of Raymond L. Chambers

This figure shows the co-authorship network connecting the top 25 collaborators of Raymond L. Chambers. A scholar is included among the top collaborators of Raymond L. Chambers 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 Raymond L. Chambers. Raymond L. Chambers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Salvati, Nicola, et al.. (2022). Studies in Theoretical and Applied Statistics. Springer proceedings in mathematics & statistics. 7 indexed citations

Bertarelli, Gaia, Raymond L. Chambers, & Nicola Salvati. (2020). Outlier robust small domain estimation via bias correction and robust bootstrapping. Statistical Methods & Applications. 30(1). 331–357. 1 indexed citations

Chandra, Hukum, Nicola Salvati, & Raymond L. Chambers. (2015). A Spatially Nonstationary Fay-Herriot Model for Small Area Estimation. Journal of Survey Statistics and Methodology. 3(2). 109–135. 27 indexed citations

Chambers, Raymond L., et al.. (2012). Using Dynamically Defined Controls to Evaluate the Impact of an Ionization Technology. The Journal of Weather Modification. 44(1). 16–29. 2 indexed citations

Chambers, Raymond L., David Steel, Suojin Wang, & A. H. Welsh. (2012). Maximum Likelihood Estimation for Sample Surveys. 40 indexed citations

Chambers, Raymond L., et al.. (2011). Regression Analysis under Probabilistic Multi‐Linkage. Statistica Neerlandica. 66(1). 64–79. 23 indexed citations

Chambers, Raymond L. & Nikos Tzavidis. (2009). Borrowing strength over space in small area estimation: Comparing parametric, semi- parametric and non-parametric random effec ts and M-quantile small area models. Research Online (University of Wollongong). 3 indexed citations

Chambers, Raymond L.. (2005). Calibrated Weighting for Small Area Estimation. ePrints Soton (University of Southampton). 4 indexed citations

Chambers, Raymond L.. (2005). Imputation vs. Estimation of Finite Population Distributions. ePrints Soton (University of Southampton). 2 indexed citations

10.

Chambers, Raymond L.. (2005). What If... ? Robust Prediction Intervals for Unbalanced Samples. ePrints Soton (University of Southampton). 2 indexed citations

11.

Chambers, Raymond L. & Alan H. Dorfman. (2003). Robust sample survey inference via bootstrapping and bias correction: The case of the ratio estimator.. ePrints Soton (University of Southampton). 51–60. 9 indexed citations

12.

Chambers, Raymond L., et al.. (2001). Does the model matter for GREG estimation? A business survey example. Journal of Official Statistics. 17(4). 527–544. 9 indexed citations

13.

Chambers, Raymond L. & David Steel. (2001). Simple Methods for Ecological Inference in 2×2 Tables. Journal of the Royal Statistical Society Series A (Statistics in Society). 164(1). 175–192. 18 indexed citations

14.

Welsh, A. H., R. B. Cunningham, & Raymond L. Chambers. (2000). Methodology for Estimating the Abundance of Rare Animals: Seabird Nesting on North East Herald Cay. Biometrics. 56(1). 22–30. 47 indexed citations

15.

Brown, James, et al.. (1999). A Methodological Strategy for a One-Number Census in the UK. Journal of the Royal Statistical Society Series A (Statistics in Society). 162(2). 247–267. 41 indexed citations

16.

Chambers, Raymond L.. (1996). Robust case-weighting for multipurpose establishment surveys.. ePrints Soton (University of Southampton). 48 indexed citations

17.

Chambers, Raymond L., et al.. (1989). ESTIMATING DISTRIBUTION FUNCTIONS FROM SURVEY DATA WITH LIMITED BENCHMARK INFORMATION. Australian Journal of Statistics. 31(1). 1–11. 4 indexed citations

18.

Chambers, Raymond L.. (1986). Design-Adjusted Parameter Estimation. Journal of the Royal Statistical Society Series A (General). 149(2). 161–161. 7 indexed citations

19.

Chambers, Raymond L.. (1986). Outlier Robust Finite Population Estimation. Journal of the American Statistical Association. 81(396). 1063–1063. 13 indexed citations

20.

Chambers, Raymond L.. (1982). The Administrative Behavior of Federal Bureau Chiefs. By Herbert Kaufman. (Washington, D.C.: Brookings Institution, 1981. Pp. xii + 220. $22.95, cloth; $8.95, paper.). American Political Science Review. 76(4). 909–909. 114 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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