Raymond L. Chambers
- Statistics and Probability top 0.5%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science top 10%
- Co-authors
- Alan H. DorfmanA. H. WelshHukum ChandraThomas E. WehrlyDavid SteelC. R. HeathcoteLi‐Chun ZhangR. B. Cunningham
- Topics
- Statistical Methods and Bayesian Inference (23 papers)Statistical Methods and Inference (21 papers)Advanced Statistical Methods and Models (11 papers)
- Partner nations
- AustraliaUnited KingdomItaly
In The Last Decade
Raymond L. Chambers
48 papers receiving 976 citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 697
- Management Science and Operations Research 210
- Economics and Econometrics 195
- Artificial Intelligence 166
- Sociology and Political Science 131
Countries citing papers authored by Raymond L. Chambers
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 27 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 23 | |
| 7 | Borrowing strength over space in small area estimation: Comparing parametric, semi- parametric and non-parametric random effec ts and M-quantile small area models | 3 |
| 8 | Calibrated Weighting for Small Area Estimation | 4 |
| 9 | Imputation vs. Estimation of Finite Population Distributions | 2 |
| 10 | What If... ? Robust Prediction Intervals for Unbalanced Samples | 2 |
| 11 | Robust sample survey inference via bootstrapping and bias correction: The case of the ratio estimator. | 9 |
| 12 | Does the model matter for GREG estimation? A business survey example | 9 |
| 13 | 18 | |
| 14 | 47 | |
| 15 | 41 | |
| 16 | Robust case-weighting for multipurpose establishment surveys. | 48 |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 114 |
About Raymond L. Chambers
Raymond L. Chambers is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (23 papers), Statistical Methods and Inference (21 papers) and Advanced Statistical Methods and Models (11 papers). The work is most often cited by research in Statistics and Probability (697 citations), Public Administration (67 citations) and Management Science and Operations Research (210 citations). Raymond L. Chambers has collaborated with scholars based in Australia, United Kingdom and Italy. Frequent 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. Their work appears in journals such as Journal of the American Statistical Association, Biometrics and American Political Science Review.
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.