S. R. Searle

20.0k total citations · 7 hit papers
148 papers, 12.3k citations indexed

About

S. R. Searle is a scholar working on Statistics and Probability, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, S. R. Searle has authored 148 papers receiving a total of 12.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Statistics and Probability, 23 papers in Genetics and 17 papers in Computational Theory and Mathematics. Recurrent topics in S. R. Searle's work include Advanced Statistical Methods and Models (26 papers), Genetic and phenotypic traits in livestock (23 papers) and Statistical Methods and Inference (14 papers). S. R. Searle is often cited by papers focused on Advanced Statistical Methods and Models (26 papers), Genetic and phenotypic traits in livestock (23 papers) and Statistical Methods and Inference (14 papers). S. R. Searle collaborates with scholars based in United States, New Zealand and Germany. S. R. Searle's co-authors include Charles E. McCulloch, H. V. Henderson, George Casella, F. M. Speed, George A. Milliken, David D. Turner, R. R. Corbeil, Charles Henderson, Oscar Kempthorne and C. M. von Krosigk and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

S. R. Searle

137 papers receiving 11.1k citations

Hit Papers

Linear Models 1959 2026 1981 2003 1971 2000 1992 1980 1981 500 1000 1.5k 2.0k 2.5k

Peers

S. R. Searle
Comparison fields: 5 of 231
  • Statistics and Probability 2.8k
  • Genetics 2.0k
  • Plant Science 1.6k
  • Management Science and Operations Research 1.2k
  • Nature and Landscape Conservation 878
Replace William G. Cochran with:
William G. Cochran United States
Rupert G. Miller United States
F. N. David United Kingdom
M. B. Wilk United States
William Kruskal United States
Samuel S. Shapiro United States
Dean W. Wichern United States
Sture Holm Sweden
Stephen E. Fienberg United States
Olive Jean Dunn United States
William G. Cochran United States View profile →
Citations per field, relative to S. R. Searle
S. R. Searle · 1×
Citations per year, relative to S. R. Searle
S. R. Searle · 1×

Countries citing papers authored by S. R. Searle

Since Specialization
Citations

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

Fields of papers citing papers by S. R. Searle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. R. Searle. 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 S. R. Searle. The network helps show where S. R. Searle may publish in the future.

Co-authorship network of co-authors of S. R. Searle

This figure shows the co-authorship network connecting the top 25 collaborators of S. R. Searle. A scholar is included among the top collaborators of S. R. Searle 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 S. R. Searle. S. R. Searle 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
# Work Indexed citations
1
Generalized, Linear, and Mixed Models breakdown →
1907
2 53
3 11
4 4
5 12
6
Variance Components breakdown →
1460
7 4
8
Linear models for some-cells-empty data: the cell means formulation, a consultant's best friend
0
9 2
10 4
11 1
12 19
13 1
14
Population Marginal Means in the Linear Model: An Alternative to Least Squares Means breakdown →
1372
15 21
16 63
17 28
18
Model Considerations and Variance Component Estimation in Augmented Completely Randomized and Randomized Complete Blocks Designs - Preliminary Version
6
19 4
20 4

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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