A. A. Rayner

18 papers receiving 328 citations

Peers

A. A. Rayner
Comparison fields: 5 of 86
  • Statistics and Probability 73
  • Computational Theory and Mathematics 100
  • Numerical Analysis 34
  • Management Science and Operations Research 54
  • Agronomy and Crop Science 40
Replace C. R. Rao with:
C. R. Rao United States
C. M. Theobald United Kingdom
Jarkko Isotalo Finland
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Gregory T. Adams United States
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Citations per year

Countries citing papers authored by A. A. Rayner

Since Specialization
Citations

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

Fields of papers citing papers by A. A. Rayner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside A. A. Rayner, 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 A. A. Rayner Line = papers co-authored together A. A. Rayner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973100
2 197256
3 197053
4 197242
5 197037
6 198231
7 196719
8 197013
9
On the distribution of quadratic forms in singular normal variates
19656
10 19904
11 19674
12 19704
13
A regression relationship for the determination of the nitrogen content of rats from water content and age.
19602
14 19762
15 19722
16 19781
17 19911
18 19871
19 19711
20 19531

About A. A. Rayner

A. A. Rayner is a scholar working on Statistical and Nonlinear Physics, Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability and Numerical Analysis, having authored 21 papers that have together received 380 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (4 papers), Optimal Experimental Design Methods (4 papers), Advanced Mathematical Theories and Applications (3 papers), Advanced Statistical Methods and Models (3 papers), Neural Networks and Applications (2 papers), Statistical and numerical algorithms (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Statistical Methods and Bayesian Inference (2 papers). The work is most often cited by research in Statistics and Probability (73 citations), Computational Theory and Mathematics (100 citations), Numerical Analysis (34 citations), Management Science and Operations Research (54 citations) and Agronomy and Crop Science (40 citations). A. A. Rayner has collaborated with scholars based in South Africa, United States and Canada. Frequent co-authors include Rose Pringle, N. Scott Urquhart, S. R. Searle, Ronald D. Snee, Timothy M. Smith, G. L. Hunter, E. E. Remmenga, John Herman Randall, M. G. Kendall and Richard N. Schmidt. Their work appears in journals such as Biometrics, SIAM Journal on Applied Mathematics, Journal of Quality Technology, Reproduction and Journal of the American Statistical Association.

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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