Donald B. Owen
- Statistics and Probability top 1%
- Statistics, Probability and Uncertainty top 1%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Finance top 10%
- Co-authors
- Gerald J. LiebermanH. E. ReinhardtLoretta Y. LiSatish ChandraDavid BeechHarry O. PostenRalph A. BradleyJ. Wanzer Drane
- Topics
- Statistical Distribution Estimation and Applications (3 papers)Advanced Statistical Process Monitoring (3 papers)Optimal Experimental Design Methods (3 papers)
- Cited by
- Statistics and ProbabilityStatistics, Probability and UncertaintyManagement Science and Operations Research
- Partner nations
- United StatesSouth Korea
In The Last Decade
Donald B. Owen
16 papers receiving 574 citations
Peers
Comparison fields: 5 of 120
- Statistics and Probability 292
- Statistics, Probability and Uncertainty 225
- Management Science and Operations Research 122
- Artificial Intelligence 60
- Finance 49
Countries citing papers authored by Donald B. Owen
This map shows the geographic impact of Donald B. Owen'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 Donald B. Owen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald B. Owen more than expected).
Fields of papers citing papers by Donald B. Owen
This network shows the impact of papers produced by Donald B. Owen. 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 Donald B. Owen. The network helps show where Donald B. Owen may publish in the future.
Co-authorship network of co-authors of Donald B. Owen
This figure shows the co-authorship network connecting the top 25 collaborators of Donald B. Owen. A scholar is included among the top collaborators of Donald B. Owen 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 Donald B. Owen. Donald B. Owen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A study of a new process capability index | 1 |
| 2 | 59 | |
| 3 | 6 | |
| 4 | 34 | |
| 5 | 12 | |
| 6 | 34 | |
| 7 | 4 | |
| 8 | 43 | |
| 9 | 5 | |
| 10 | 45 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | 32 | |
| 14 | 23 | |
| 15 | 313 | |
| 16 | 24 |
About Donald B. Owen
Donald B. Owen is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research, having authored 16 papers that have together received 660 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (3 papers), Advanced Statistical Process Monitoring (3 papers) and Optimal Experimental Design Methods (3 papers). The work is most often cited by research in Statistics and Probability (292 citations), Statistics, Probability and Uncertainty (225 citations) and Management Science and Operations Research (122 citations). Donald B. Owen has collaborated with scholars based in United States and South Korea. Frequent co-authors include Gerald J. Lieberman, H. E. Reinhardt, Loretta Y. Li, Satish Chandra, David Beech, Harry O. Posten, Ralph A. Bradley and J. Wanzer Drane. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.