Murray R. Selwyn

1.0k total citations
24 papers, 756 citations indexed

About

Murray R. Selwyn is a scholar working on Statistics and Probability, Management Science and Operations Research and Surgery. According to data from OpenAlex, Murray R. Selwyn has authored 24 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 6 papers in Management Science and Operations Research and 2 papers in Surgery. Recurrent topics in Murray R. Selwyn's work include Statistical Methods in Clinical Trials (8 papers), Optimal Experimental Design Methods (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Murray R. Selwyn is often cited by papers focused on Statistical Methods in Clinical Trials (8 papers), Optimal Experimental Design Methods (6 papers) and Statistical Methods and Bayesian Inference (5 papers). Murray R. Selwyn collaborates with scholars based in United States, Switzerland and United Kingdom. Murray R. Selwyn's co-authors include Arthur P. Dempster, Nancy Hall, Megan Butler, Bernard G. Steinetz, Claudio Colombo, E. M. O’Byrne, Douglas E. Swartzendruber, Joseph S. Friedberg, Larry R. Kaiser and Richard H. Feins and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biometrics.

In The Last Decade

Murray R. Selwyn

24 papers receiving 685 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Murray R. Selwyn United States 14 238 152 117 104 86 24 756
Pankaj K. Choudhary United States 15 140 0.6× 13 0.1× 86 0.7× 35 0.3× 63 0.7× 59 701
Gerald R. Chase United States 17 98 0.4× 10 0.1× 34 0.3× 35 0.3× 268 3.1× 39 825
Roman Lutz Switzerland 15 35 0.1× 47 0.3× 77 0.7× 15 0.1× 35 0.4× 23 931
Måns Thulin Sweden 13 83 0.3× 17 0.1× 33 0.3× 11 0.1× 15 0.2× 43 773
Perla Subbaiah United States 11 137 0.6× 7 0.0× 52 0.4× 85 0.8× 32 0.4× 35 630
Niels Erik Petersen Denmark 14 23 0.1× 92 0.6× 104 0.9× 6 0.1× 37 0.4× 35 604
Teresa Oliveira Portugal 8 15 0.1× 19 0.1× 103 0.9× 12 0.1× 19 0.2× 42 952
Eunsik Park South Korea 9 26 0.1× 10 0.1× 108 0.9× 15 0.1× 109 1.3× 27 626
Seung Won Hyun South Korea 16 13 0.1× 12 0.1× 107 0.9× 31 0.3× 97 1.1× 42 758
Alireza Sadeghpour Iran 12 16 0.1× 62 0.4× 145 1.2× 8 0.1× 23 0.3× 33 993

Countries citing papers authored by Murray R. Selwyn

Since Specialization
Citations

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

Fields of papers citing papers by Murray R. Selwyn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murray R. Selwyn

This figure shows the co-authorship network connecting the top 25 collaborators of Murray R. Selwyn. A scholar is included among the top collaborators of Murray R. Selwyn 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 Murray R. Selwyn. Murray R. Selwyn 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
1.
Selwyn, Murray R. & Susan Fish. (2004). Choice of alpha spending function and time points in clinical trials with one or two interim analyses. Pharmaceutical Statistics. 3(3). 193–203. 3 indexed citations
2.
Middaugh, Lawrence D., Diana Dow-Edwards, Abby A. Li, et al.. (2003). Neurobehavioral Assessment: A Survey of Use and Value in Safety Assessment Studies. Toxicological Sciences. 76(2). 250–261. 28 indexed citations
3.
Wain, John C., Larry R. Kaiser, David W. Johnstone, et al.. (2001). Trial of a novel synthetic sealant in preventing air leaks after lung resection. The Annals of Thoracic Surgery. 71(5). 1623–1629. 115 indexed citations
4.
Selwyn, Murray R.. (1996). Principles of Experimental Design for the Life Sciences. 11 indexed citations
5.
Selwyn, Murray R.. (1995). The Use of Trend Tests to Determine a No-Observable-Effect Level in Animal Safety Studies. Journal of the American College of Toxicology. 14(2). 158–168. 14 indexed citations
6.
Selwyn, Murray R. & W. R. Shek. (1994). Sample sizes and frequency of testing for health monitoring in barrier rooms and isolators.. PubMed. 33(3). 56–60. 8 indexed citations
7.
Selwyn, Murray R. & Peter Gaccione. (1993). Assessing normality and equivariance in small multigroup samples. Communications in Statistics - Simulation and Computation. 22(1). 61–79. 1 indexed citations
8.
Selwyn, Murray R.. (1989). Dual controls, p-value plots, and the multiple testing issue in carcinogenicity studies.. Environmental Health Perspectives. 82. 337–344. 7 indexed citations
9.
Wong, Audrey, et al.. (1985). Screening on Correlated Variables: A Bayesian Approach. Technometrics. 27(4). 423–423. 14 indexed citations
10.
Selwyn, Murray R., et al.. (1985). Screening on Correlated Variables: A Bayesian Approach. Technometrics. 27(4). 423–431. 29 indexed citations
11.
Selwyn, Murray R. & Nancy Hall. (1984). On Bayesian methods for bioequivalence.. PubMed. 40(4). 1103–8. 33 indexed citations
12.
Dempster, Arthur P., et al.. (1984). Statistical and Computational Aspects of Mixed Model Analysis. Journal of the Royal Statistical Society Series C (Applied Statistics). 33(2). 203–203. 87 indexed citations
13.
Selwyn, Murray R. & Nancy Hall. (1984). On Bayesian Methods for Bioequivalence. Biometrics. 40(4). 1103–1103. 24 indexed citations
14.
Dempster, Arthur P., et al.. (1983). Combining Historical and Randomized Controls for Assessing Trends in Proportions. Journal of the American Statistical Association. 78(382). 221–221. 18 indexed citations
15.
Colombo, Claudio, et al.. (1983). A new model of osteoarthritis in rabbits II. Evaluation of Anti-Osteoarthritic Effects of Selected Antirheumatic Drugs Administered Systemically. Arthritis & Rheumatism. 26(9). 1132–1139. 56 indexed citations
16.
Colombo, Claudio, Megan Butler, E. M. O’Byrne, et al.. (1983). A new model of osteoarthritis in rabbits. Arthritis & Rheumatism. 26(7). 875–886. 123 indexed citations
17.
Dempster, Arthur P., et al.. (1983). Combining Historical and Randomized Controls for Assessing Trends in Proportions. Journal of the American Statistical Association. 78(382). 221–227. 82 indexed citations
18.
Gastwirth, Joseph L. & Murray R. Selwyn. (1980). The Robustness Properties of Two Tests for Serial Correlation. Journal of the American Statistical Association. 75(369). 138–141. 9 indexed citations
19.
Gastwirth, Joseph L. & Murray R. Selwyn. (1980). The Robustness Properties of Two Tests for Serial Correlation. Journal of the American Statistical Association. 75(369). 138–138. 5 indexed citations
20.
Teske, Richard H., et al.. (1977). Effect of Storage on Bovine Erythrocyte cholinesterase Activity. American Journal of Veterinary Research. 38(8). 1173–1175. 4 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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