D. R. Cox
- Statistics and Probability top 0.2%
- Statistics, Probability and Uncertainty top 0.5%
- Economics and Econometrics top 5%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Co-authors
- E. J. SnellValerie IshamNanny WermuthOle E. Barndorff–NielsenIan DiamondGraham F. MedleyP. J. SolomonA. C. Davison
- Topics
- Statistical Distribution Estimation and Applications (14 papers)Statistical Methods and Bayesian Inference (6 papers)Probabilistic and Robust Engineering Design (5 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Journals
- TechnometricsBiometrikaJournal of the Royal Statistical Society Series B (Statistical Methodology)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
D. R. Cox
38 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Statistics and Probability 1.3k
- Statistics, Probability and Uncertainty 344
- Economics and Econometrics 327
- Artificial Intelligence 289
- Management Science and Operations Research 289
Countries citing papers authored by D. R. Cox
This map shows the geographic impact of D. R. 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 D. R. Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. R. Cox more than expected).
Fields of papers citing papers by D. R. Cox
This network shows the impact of papers produced by D. R. 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 D. R. Cox. The network helps show where D. R. Cox may publish in the future.
Co-authorship network of co-authors of D. R. Cox
This figure shows the co-authorship network connecting the top 25 collaborators of D. R. Cox. A scholar is included among the top collaborators of D. R. 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 D. R. Cox. D. R. Cox is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Design of investigations, statistical methods and applications | 0 |
| 3 | Foundations of statistical inference, theoretical statistics, time series and stochastic processes | 0 |
| 4 | 61 | |
| 5 | The theory of stochastic processes / D.R. Cox, H.D. Miller | 1 |
| 6 | 45 | |
| 7 | 31 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 362 | |
| 14 | 60 | |
| 15 | 54 | |
| 16 | 68 | |
| 17 | 337 | |
| 18 | 13 | |
| 19 | 30 | |
| 20 | 108 |
About D. R. Cox
D. R. Cox is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (14 papers), Statistical Methods and Bayesian Inference (6 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Statistics, Probability and Uncertainty (344 citations) and Management Science and Operations Research (289 citations). D. R. Cox has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include E. J. Snell, Valerie Isham, Nanny Wermuth, Ole E. Barndorff–Nielsen, Ian Diamond, Graham F. Medley, P. J. Solomon, A. C. Davison, Christiana Kartsonaki and Agnes M. Herzberg. Their work appears in journals such as Technometrics, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.