Murray R. Selwyn

32 total papers · 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 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 Inference (5 papers). Murray R. Selwyn collaborates with scholars based in United States, Switzerland and Thailand. Murray R. Selwyn's co-authors include Arthur P. Dempster, Nancy Hall, Bernard G. Steinetz, Megan Butler, Claudio Colombo, Douglas E. Swartzendruber, E. M. O’Byrne, John C. Wain, David W. Johnstone and Joseph S. Friedberg 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 684 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Murray R. Selwyn 238 152 117 104 86 24 756
Pankaj K. Choudhary 140 0.6× 13 0.1× 86 0.7× 35 0.3× 63 0.7× 57 698
Rüdiger Vollandt 63 0.3× 68 0.4× 237 2.0× 38 0.4× 131 1.5× 34 881
Pamela F. Schwartz 32 0.1× 42 0.3× 342 2.9× 28 0.3× 134 1.6× 35 888
David C. Hurst 52 0.2× 23 0.2× 73 0.6× 21 0.2× 23 0.3× 33 785
E. Lesaffre 91 0.4× 18 0.1× 41 0.4× 14 0.1× 115 1.3× 16 680
Esa Uusipaikka 137 0.6× 29 0.2× 57 0.5× 43 0.4× 17 0.2× 30 666
Gerald R. Chase 98 0.4× 10 0.1× 34 0.3× 35 0.3× 268 3.1× 39 825
Joseph L. Ciminera 225 0.9× 5 0.0× 33 0.3× 92 0.9× 19 0.2× 22 674
Chunpeng Fan 60 0.3× 328 2.2× 94 0.8× 24 0.2× 44 0.5× 45 885
Choongrak Kim 183 0.8× 5 0.0× 223 1.9× 38 0.4× 124 1.4× 48 776

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

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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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