R. Mead

603 total citations
4 papers, 462 citations indexed

About

R. Mead is a scholar working on Management Science and Operations Research, Plant Science and Statistics and Probability. According to data from OpenAlex, R. Mead has authored 4 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Management Science and Operations Research, 1 paper in Plant Science and 1 paper in Statistics and Probability. Recurrent topics in R. Mead's work include Optimal Experimental Design Methods (1 paper), Statistical Methods in Clinical Trials (1 paper) and Genetics and Plant Breeding (1 paper). R. Mead is often cited by papers focused on Optimal Experimental Design Methods (1 paper), Statistical Methods in Clinical Trials (1 paper) and Genetics and Plant Breeding (1 paper). R. Mead collaborates with scholars based in . R. Mead's co-authors include R. N. Curnow, Vijay Kumar and Ramon C. Littell and has published in prestigious journals such as Journal of the American Statistical Association and Journal of the Royal Statistical Society Series D (The Statistician).

In The Last Decade

R. Mead

4 papers receiving 436 citations

Peers

R. Mead
K. Emrich Germany
S. M. Miller Australia
C. B. Dyson New Zealand
Ghulam Abbas Pakistan
J. L. Halgerson United States
Hector Valenzuela United States
R. Mead
Citations per year, relative to R. Mead R. Mead (= 1×) peers R. N. Curnow

Countries citing papers authored by R. Mead

Since Specialization
Citations

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

Fields of papers citing papers by R. Mead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mead

This figure shows the co-authorship network connecting the top 25 collaborators of R. Mead. A scholar is included among the top collaborators of R. Mead 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 R. Mead. R. Mead is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Kumar, Vijay, et al.. (1994). Statistical Methods in Agriculture and Experimental Biology.. Journal of the Royal Statistical Society Series D (The Statistician). 43(3). 464–464. 128 indexed citations
2.
Littell, Ramon C., et al.. (1994). Statistical Methods in Agriculture and Experimental Biology.. Journal of the American Statistical Association. 89(425). 361–361. 76 indexed citations
3.
Mead, R., et al.. (1993). Statistical Methods in Agriculture and Experimental Biology. 138 indexed citations
4.
Mead, R., et al.. (1992). Statistical Methods in Agriculture and Experimental Biology. 120 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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