Ray Chambers

1.9k citations
71 papers · 1.2k · h-index 18

Impact in

Papers in

Ray Chambers

68 papers receiving 1.1k citations

Peers

Ray Chambers
Comparison fields: 5 of 98
  • Statistics and Probability 569
  • Management Science and Operations Research 389
  • Economics and Econometrics 464
  • General Agricultural and Biological Sciences 122
  • Environmental Engineering 105
Replace Robert E. Fay with:
Robert E. Fay United States
Partha Lahiri United States
Gauri Sankar Datta United States
Isabel Molina Spain
Roger A. Herriot United States
Monica Pratesi Italy
Jean‐Claude Deville France
Raymond L. Chambers Australia
Rachel Harter United States
Iván Fernández‐Val United States
Ray Chambers relative to Robert E. Fay United States Robert E. Fay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ray Chambers

Since Specialization
Citations

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

Fields of papers citing papers by Ray Chambers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ray Chambers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ray Chambers Line = papers co-authored together Ray Chambers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006157
2 1988149
3 201284
4 201375
5 201049
6
EVALUATION OF SMALL AREA ESTIMATION METHODS - AN APPLICATION TO UNEMPLOYMENT ESTIMATES FROM THE UK LFS
200147
7 200743
8 201542
9 199739
10
Regression Analysis of Probability-Linked Data
200933
11
Small Area Estimation Under Linear and GeneralizedLinear Mixed Models With Time and Area Effects
200330
12 201429
13 200726
14
On Bias-Robust Mean Squared Error Estimation for Pseudo-Linear Small Area Estimators
200926
15 201725
16 201025
17 200420
18
Robust prediction of small area means and distributions
200717
19 201616
20 198816

About Ray Chambers

Ray Chambers is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, General Agricultural and Biological Sciences and Sociology and Political Science, having authored 71 papers that have together received 1.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (26 papers), Spatial and Panel Data Analysis (20 papers), demographic modeling and climate adaptation (18 papers), Statistical Methods and Inference (15 papers), Economic and Environmental Valuation (10 papers), Census and Population Estimation (9 papers), Agricultural Economics and Policy (8 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Statistics and Probability (569 citations), Management Science and Operations Research (389 citations), Economics and Econometrics (464 citations), General Agricultural and Biological Sciences (122 citations) and Environmental Engineering (105 citations). Ray Chambers has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent co-authors include Nikos Tzavidis, Jens Breckling, Nicola Salvati, Hukum Chandra, Robert G. Clark, Ayoub Saei, Stefano Marchetti, Monica Pratesi, Philip Kokic and Maria Giovanna Ranalli. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Computational Statistics & Data Analysis, Biometrika, International Statistical Review and Journal of Business and Economic Statistics.

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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