David Cox

4.2k total citations · 2 hit papers
42 papers, 2.7k citations indexed

About

David Cox is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty. According to data from OpenAlex, David Cox has authored 42 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics and Probability, 7 papers in Management Science and Operations Research and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in David Cox's work include Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (7 papers) and Advanced Statistical Methods and Models (5 papers). David Cox is often cited by papers focused on Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (7 papers) and Advanced Statistical Methods and Models (5 papers). David Cox collaborates with scholars based in United Kingdom, United States and Russia. David Cox's co-authors include H. D. Miller, David J. Bartholomew, J. D. Griffiths, D. A. Sprott, V. P. Godambe, Vernon T. Farewell, Agnes M. Herzberg, Peter S. Eagleson, I. Rodriguez‐Iturbe and Nancy Reid and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

David Cox

40 papers receiving 2.4k citations

Hit Papers

The Theory of Stochastic Processes. 1961 2026 1982 2004 1966 1961 250 500 750
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. The Theory of Stochastic Processes.
    1966 872 citations David Cox, H. D. Miller et al. Journal of the Royal Statistical Society Series A (General) profile →
  2. Tests of Separate Families of Hypotheses
    1961 597 citations David Cox profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Cox United Kingdom 18 942 383 370 325 319 42 2.7k
J. K. Ord United States 23 826 0.9× 311 0.8× 341 0.9× 443 1.4× 438 1.4× 41 3.3k
John E. Angus United States 19 659 0.7× 379 1.0× 360 1.0× 336 1.0× 304 1.0× 82 2.6k
Ritei Shibata Japan 14 891 0.9× 299 0.8× 267 0.7× 504 1.6× 172 0.5× 32 2.1k
Craig Robertson United States 12 1.6k 1.7× 394 1.0× 486 1.3× 567 1.7× 401 1.3× 36 3.6k
William R. Schucany United States 26 1.3k 1.4× 184 0.5× 333 0.9× 507 1.6× 341 1.1× 109 2.4k
Stephen M. Stigler United States 32 1.7k 1.8× 593 1.5× 622 1.7× 726 2.2× 530 1.7× 153 5.1k
Khosrow Dehnad United States 7 632 0.7× 543 1.4× 274 0.7× 749 2.3× 269 0.8× 12 4.3k
Lucien LeCam 12 846 0.9× 296 0.8× 311 0.8× 636 2.0× 165 0.5× 14 3.1k
I. Richard Savage United States 19 1.4k 1.5× 228 0.6× 433 1.2× 474 1.5× 497 1.6× 65 3.9k
George Casella United States 3 992 1.1× 328 0.9× 392 1.1× 638 2.0× 428 1.3× 4 3.9k

Countries citing papers authored by David Cox

Since Specialization
Citations

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

Fields of papers citing papers by David Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Cox

This figure shows the co-authorship network connecting the top 25 collaborators of David Cox. A scholar is included among the top collaborators of David Cox 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 David Cox. David Cox 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.
Cox, David. (2019). Statistical Significance. Annual Review of Statistics and Its Application. 7(1). 1–10. 20 indexed citations
2.
3.
Cox, David. (2013). A Return to an Old Paper: ‘Tests of Separate Families of Hypotheses’. Journal of the Royal Statistical Society Series B (Statistical Methodology). 75(2). 207–215. 15 indexed citations
4.
Cox, David & Deborah G. Mayo. (2010). Objectivity and conditionality in frequentist inference. 18 indexed citations
5.
Cox, David. (2006). FREQUENTIST AND BAYESIAN STATISTICS: A CRITIQUE (KEYNOTE ADDRESS). 3–6. 6 indexed citations
6.
Cox, David. (2006). Principles of Statistical Inference. Cambridge University Press eBooks. 337 indexed citations
7.
Cox, David. (2004). The Accidental Statistician. Significance. 1(1). 27–29. 1 indexed citations
8.
Cox, David & Nancy Reid. (1993). A Note on the Calculation of Adjusted Profile Likelihood. Journal of the Royal Statistical Society Series B (Statistical Methodology). 55(2). 467–471. 27 indexed citations
9.
Rodriguez‐Iturbe, I., David Cox, & Peter S. Eagleson. (1986). Spatial modelling of total storm rainfall. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 403(1824). 27–50. 50 indexed citations
10.
Cox, David. (1980). Local Ancillarity. Biometrika. 67(2). 279–279. 2 indexed citations
11.
Farewell, Vernon T. & David Cox. (1979). A Note on Multiple Time Scales in Life Testing. Journal of the Royal Statistical Society Series C (Applied Statistics). 28(1). 73–73. 51 indexed citations
12.
Herzberg, Agnes M. & David Cox. (1978). Correction: Recent Work on the Design of Experiments: A Bibliography and a Review. Journal of the Royal Statistical Society Series A (General). 141(2). 286–286. 1 indexed citations
13.
Cox, David, V. P. Godambe, & D. A. Sprott. (1972). Foundations of Statistical Inference.. Biometrika. 59(1). 235–235. 101 indexed citations
14.
Cox, David. (1971). Buxtehude and His Passion Music. The Musical Times. 112(1537). 232–232.
15.
Herzberg, Agnes M. & David Cox. (1969). Recent Work on the Design of Experiments: A Bibliography and a Review. Journal of the Royal Statistical Society Series A (General). 132(1). 29–29. 27 indexed citations
16.
Griffiths, J. D., David Cox, & H. D. Miller. (1967). The Theory of Stochastic Processes.. Journal of the Royal Statistical Society Series C (Applied Statistics). 16(2). 177–177. 139 indexed citations
17.
Cox, David. (1957). THE USE OF A CONCOMITANT VARIABLE IN SELECTING AN EXPERIMENTAL DESIGN. Biometrika. 44(1-2). 150–158. 56 indexed citations
18.
Cox, David. (1956). A note on the theory of quick tests. Biometrika. 43(3-4). 478–480. 4 indexed citations
19.
Cox, David, et al.. (1954). Statistics for Technologists.. Journal of the Royal Statistical Society Series A (General). 117(1). 107–107. 8 indexed citations
20.
Cox, David. (1952). Sequential tests for composite hypotheses. Mathematical Proceedings of the Cambridge Philosophical Society. 48(2). 290–299. 62 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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