Cuthbert Daniel

3.1k total citations · 2 hit papers
32 papers, 2.3k citations indexed

About

Cuthbert Daniel is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty and Statistics and Probability. According to data from OpenAlex, Cuthbert Daniel has authored 32 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Management Science and Operations Research, 10 papers in Statistics, Probability and Uncertainty and 8 papers in Statistics and Probability. Recurrent topics in Cuthbert Daniel's work include Optimal Experimental Design Methods (18 papers), Advanced Statistical Process Monitoring (6 papers) and Statistical Methods in Clinical Trials (5 papers). Cuthbert Daniel is often cited by papers focused on Optimal Experimental Design Methods (18 papers), Advanced Statistical Process Monitoring (6 papers) and Statistical Methods in Clinical Trials (5 papers). Cuthbert Daniel collaborates with scholars based in United States. Cuthbert Daniel's co-authors include Fred S. Wood, Toby J. Mitchell, James Gorman, Sanford Weisberg, Frank Wilcoxon, F. N. David, D. R. Cox, Agnes M. Herzberg, D. J. Finney and Shirley Young and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Journal of Marketing Research.

In The Last Decade

Cuthbert Daniel

30 papers receiving 1.9k citations

Hit Papers

Fitting Equations to Data. 1959 2026 1981 2003 1973 1959 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Fitting Equations to Data.
    1973 712 citations Toby J. Mitchell, Cuthbert Daniel et al. Biometrics profile →
  2. Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments
    1959 539 citations Cuthbert Daniel Technometrics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuthbert Daniel United States 17 724 723 397 256 165 32 2.3k
Anant M. Kshirsagar United States 16 387 0.5× 360 0.5× 183 0.5× 209 0.8× 149 0.9× 72 2.2k
Walter H. Carter United States 22 361 0.5× 653 0.9× 316 0.8× 402 1.6× 98 0.6× 75 2.2k
William J. Hill United States 19 273 0.4× 523 0.7× 292 0.7× 242 0.9× 97 0.6× 61 1.9k
S. C. Pearce United Kingdom 19 314 0.4× 699 1.0× 151 0.4× 228 0.9× 134 0.8× 80 2.8k
R. R. Hocking United States 26 1.4k 2.0× 473 0.7× 382 1.0× 159 0.6× 272 1.6× 59 3.6k
M. J. Box Canada 15 229 0.3× 404 0.6× 231 0.6× 434 1.7× 83 0.5× 24 2.2k
J. A. John United Kingdom 22 465 0.6× 926 1.3× 147 0.4× 333 1.3× 63 0.4× 80 2.0k
Irwin Guttman Canada 27 1.3k 1.8× 397 0.5× 725 1.8× 142 0.6× 47 0.3× 150 2.6k
Karen A. F. Copeland United States 14 669 0.9× 285 0.4× 227 0.6× 121 0.5× 112 0.7× 28 2.9k
A N Donev United Kingdom 13 531 0.7× 1.3k 1.8× 447 1.1× 902 3.5× 145 0.9× 30 2.3k

Countries citing papers authored by Cuthbert Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Cuthbert Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuthbert Daniel

This figure shows the co-authorship network connecting the top 25 collaborators of Cuthbert Daniel. A scholar is included among the top collaborators of Cuthbert Daniel 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 Cuthbert Daniel. Cuthbert Daniel 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.
Daniel, Cuthbert. (1980). C60. A convenient formula for inverting a frequently occurring matrix. Journal of Statistical Computation and Simulation. 10(2). 160–160. 1 indexed citations
2.
Daniel, Cuthbert. (1978). Patterns in Residuals in the Two-Way Layout. Technometrics. 20(4). 385–395. 19 indexed citations
3.
Weisberg, Sanford & Cuthbert Daniel. (1978). Applications of Statistics to Industrial Experimentation.. Journal of the American Statistical Association. 73(361). 223–223. 240 indexed citations
4.
Daniel, Cuthbert. (1975). Calibration Designs for Machines with Carry-Over and Drift. Journal of Quality Technology. 7(3). 103–108. 6 indexed citations
5.
Mitchell, Toby J., Cuthbert Daniel, Fred S. Wood, & James Gorman. (1973). Fitting Equations to Data.. Biometrics. 29(3). 604–604. 712 indexed citations breakdown →
6.
Daniel, Cuthbert. (1969). Some General Remarks on Consulting in Statistics. Technometrics. 11(2). 241–245. 25 indexed citations
7.
Daniel, Cuthbert. (1969). Some General Remarks on Consulting in Statistics. Technometrics. 11(2). 241–241. 10 indexed citations
8.
Daniel, Cuthbert & Frank Wilcoxon. (1966). Factorial 2p–qPlans Robust Against Linear and Quadratic Trends. Technometrics. 8(2). 259–278. 36 indexed citations
9.
Daniel, Cuthbert. (1963). Fractional Factorial Designs for Experiments With Factors at Two or Three Levels. Technometrics. 5(2). 275–276. 2 indexed citations
10.
Daniel, Cuthbert. (1962). Sequences of Fractional Replicates in the 2 p – q Series. Journal of the American Statistical Association. 57(298). 403–429. 44 indexed citations
11.
Daniel, Cuthbert. (1962). Sequences of Fractional Replicates in the 2 p-q Series. Journal of the American Statistical Association. 57(298). 403–403. 23 indexed citations
12.
Daniel, Cuthbert, et al.. (1961). A Statistical Manual for Chemists. Technometrics. 3(2). 299–299. 70 indexed citations
13.
Daniel, Cuthbert. (1960). Parallel Fractional Replicates. Technometrics. 2(2). 263–268. 2 indexed citations
14.
Daniel, Cuthbert. (1960). Locating Outliers in Factorial Experiments. Technometrics. 2(2). 149–156. 38 indexed citations
15.
Daniel, Cuthbert. (1960). Parallel Fractional Replicates. Technometrics. 2(2). 263–263. 2 indexed citations
16.
Daniel, Cuthbert. (1960). Locating Outliers in Factorial Experiments. Technometrics. 2(2). 149–149. 13 indexed citations
17.
Daniel, Cuthbert. (1959). Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments. Technometrics. 1(4). 311–341. 539 indexed citations breakdown →
18.
Daniel, Cuthbert. (1959). Use of Half-Normal Plots in Interpreting Factorial Two-Level Experiments. Technometrics. 1(4). 311–311. 178 indexed citations
19.
Daniel, Cuthbert. (1958). 131 Note: On Varying One Factor at a Time. Biometrics. 14(3). 430–430. 27 indexed citations
20.
Daniel, Cuthbert, et al.. (1954). A Multifactor Experiment. Industrial & Engineering Chemistry. 46(7). 1465–1468. 8 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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