David Cox

4.2k citations
42 papers · 2.7k indexed · 2 hit papers · h-index 18

Impact in

    • Statistical Methods and Inference
    • Advanced Statistical Methods and Models
    • Statistical Methods and Bayesian Inference
    • Statistical Distribution Estimation and Applications
    • Statistical Methods in Clinical Trials
    • Advanced Statistical Process Monitoring

Papers in

David Cox

40 papers receiving 2.4k citations

Hit Papers

The Theory of Stochastic Processes. 1966 · 872 citations
8721961202619822004250500750

Peers

David Cox
Comparison fields: 5 of 188
  • Statistics and Probability 942
  • Statistics, Probability and Uncertainty 319
  • Management Science and Operations Research 370
  • Finance 198
  • General Economics, Econometrics and Finance 160
Replace George Casella with:
George Casella United States
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Citations per field
00.5×10×15×18×
George Casella · 1×
Citations per year

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

The 25 scholars most cited alongside David Cox, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Cox Line = papers co-authored together David Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201920
2 20150
3 201315
4
Objectivity and conditionality in frequentist inference
201018
5 20066
6 2006337
7 20041
8 199327
9 198650
10 19802
11 197951
12 19781
13 1972101
14 19710
15 196927
16 1967139
17 195756
18 19564
19 19548
20 195262

About David Cox

David Cox is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Music, Management Science and Operations Research and History and Philosophy of Science, having authored 42 papers that have together received 2.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (8 papers), Optimal Experimental Design Methods (7 papers), Advanced Statistical Methods and Models (5 papers), Statistical Methods and Inference (4 papers), Statistical Methods in Clinical Trials (3 papers), Advanced Statistical Process Monitoring (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Statistics and Probability (942 citations), Statistics, Probability and Uncertainty (319 citations), Management Science and Operations Research (370 citations), Finance (198 citations) and General Economics, Econometrics and Finance (160 citations). David Cox has collaborated with scholars based in United Kingdom, United States and Russia. Frequent 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. Their work appears in journals such as Biometrika, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the Royal Statistical Society Series C (Applied Statistics), International Statistical Review and Journal of the American Statistical Association.

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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