R. N. Curnow

4.7k citations
106 papers · 3.3k indexed · 1 hit paper · h-index 25
Topics
Genetic Mapping and Diversity in Plants and Animals (12 papers)Genetic and phenotypic traits in livestock (10 papers)Genetics and Plant Breeding (10 papers)

In The Last Decade

R. N. Curnow

102 papers receiving 2.9k citations

Hit Papers

The Method of Paired Comparisons.19642026198420051964250500750

Peers

R. N. Curnow
Comparison fields: 5 of 190
  • Genetics 1.0k
  • Plant Science 741
  • Molecular Biology 456
  • Statistics and Probability 319
  • Management Science and Operations Research 298
Replace Cedric A. B. Smith with:
Cedric A. B. Smith United Kingdom
K. E. Basford Australia
John Haigh United Kingdom
Patricia J. Wozniak United States
M. J. R. Healy United Kingdom
Russ Wolfinger United States
James J. Higgins United States
Zbyněk Šidák Slovakia
Ronald Christensen United States
Uwe Ligges Germany
R. N. Curnow relative to Cedric A. B. Smith United Kingdom Cedric A. B. Smith's profile →
Citations per field
00.5×1.5×1.8×
Cedric A. B. Smith · 1×
Citations per year

Countries citing papers authored by R. N. Curnow

Since Specialization
Citations

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

Fields of papers citing papers by R. N. Curnow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. N. Curnow

This figure shows the co-authorship network connecting the top 25 collaborators of R. N. Curnow. A scholar is included among the top collaborators of R. N. Curnow 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. N. Curnow. R. N. Curnow 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
#WorkIndexed citations
1 1
2 3
3 8
4
Lessons Learned in Developing Our Water Our Future Behaviour Change Framework
1
5
Applied statistics at the University of Reading: the first forty years
1
6 3
7 4
8 2
9 22
10 8
11 1
12 50
13 13
14 39
15 272
16 13
17 24
18 3
19 4
20 42

About R. N. Curnow

R. N. Curnow is a scholar working on Genetics, Statistics and Probability and Horticulture, having authored 106 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Genetic and phenotypic traits in livestock (10 papers) and Genetics and Plant Breeding (10 papers). The work is most often cited by research in Statistics and Probability (319 citations), Genetics (1.0k citations) and Management Science and Operations Research (298 citations). R. N. Curnow has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Octavio Martínez, Sewall Wright, Oscar Kempthorne, Richard B. Rosen, Tony Robertson, John C. Whittaker, Charles W. Dunnett, C. Smith, Yun‐Xin Fu and Andrew P. Morris. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Statistical Association and Genetics.

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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