Kjell A. Doksum
- Statistics and Probability top 0.05%
- Artificial Intelligence top 1%
- Statistics, Probability and Uncertainty top 0.2%
- Management Science and Operations Research top 1%
- Economics and Econometrics top 2%
- Co-authors
- Peter J. BickelKenneth W. WachterArnljot HøylandAlexander SamarovDorota M. DabrowskaPaul G. HoelProbal ChaudhuriGerald L. Sievers
- Topics
- Statistical Methods and Inference (47 papers)Advanced Statistical Methods and Models (35 papers)Statistical Methods and Bayesian Inference (25 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintySafety, Risk, Reliability and Quality
- Partner nations
- United StatesCanadaNorway
In The Last Decade
Kjell A. Doksum
80 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Statistics and Probability 2.5k
- Artificial Intelligence 877
- Statistics, Probability and Uncertainty 693
- Management Science and Operations Research 498
- Economics and Econometrics 470
Countries citing papers authored by Kjell A. Doksum
This map shows the geographic impact of Kjell A. Doksum'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 Kjell A. Doksum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kjell A. Doksum more than expected).
Fields of papers citing papers by Kjell A. Doksum
This network shows the impact of papers produced by Kjell A. Doksum. 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 Kjell A. Doksum. The network helps show where Kjell A. Doksum may publish in the future.
Co-authorship network of co-authors of Kjell A. Doksum
This figure shows the co-authorship network connecting the top 25 collaborators of Kjell A. Doksum. A scholar is included among the top collaborators of Kjell A. Doksum 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 Kjell A. Doksum. Kjell A. Doksum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 16 | |
| 3 | LASSO and shrinkage estimation in Weibull censored regression models | 1 |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 51 | |
| 8 | Decomposition of Rank-Dependent Measures of Inequality by Subgroups | 13 |
| 9 | 34 | |
| 10 | 1 | |
| 11 | 64 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | Degradation rate models for failure time and survival data | 17 |
| 15 | Uniform Confidence Bounds for Regression Based on a Simple Moving Average | 15 |
| 16 | 3 | |
| 17 | 8 | |
| 18 | 335 | |
| 19 | 171 | |
| 20 | 6 |
About Kjell A. Doksum
Kjell A. Doksum is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 82 papers that have together received 4.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (47 papers), Advanced Statistical Methods and Models (35 papers) and Statistical Methods and Bayesian Inference (25 papers). The work is most often cited by research in Statistics and Probability (2.5k citations), Statistics, Probability and Uncertainty (693 citations) and Safety, Risk, Reliability and Quality (425 citations). Kjell A. Doksum has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Peter J. Bickel, Kenneth W. Wachter, Arnljot Høyland, Alexander Samarov, Dorota M. Dabrowska, Paul G. Hoel, Probal Chaudhuri, Gerald L. Sievers, S. Ejaz Ahmed and Bo Henry Lindqvist. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrika.
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.