J. Bert Keats
- Statistics, Probability and Uncertainty top 0.1%
- Statistics and Probability top 0.5%
- Safety, Risk, Reliability and Quality top 1%
- Management Science and Operations Research top 2%
- Control and Systems Engineering top 5%
- Co-authors
- Douglas C. MontgomeryGeorge C. RungerFu‐Kwun WangW. J. ZimmerSharad S. PrabhuEric R. ZiegelConnie M. BorrorEnrique Del Castillo
- Topics
- Advanced Statistical Process Monitoring (27 papers)Scientific Measurement and Uncertainty Evaluation (15 papers)Reliability and Maintenance Optimization (9 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityMedical Laboratory Technology
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
J. Bert Keats
46 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Statistics, Probability and Uncertainty 1.3k
- Statistics and Probability 814
- Safety, Risk, Reliability and Quality 385
- Management Science and Operations Research 339
- Control and Systems Engineering 278
Countries citing papers authored by J. Bert Keats
This map shows the geographic impact of J. Bert Keats'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 J. Bert Keats with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Bert Keats more than expected).
Fields of papers citing papers by J. Bert Keats
This network shows the impact of papers produced by J. Bert Keats. 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 J. Bert Keats. The network helps show where J. Bert Keats may publish in the future.
Co-authorship network of co-authors of J. Bert Keats
This figure shows the co-authorship network connecting the top 25 collaborators of J. Bert Keats. A scholar is included among the top collaborators of J. Bert Keats 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 J. Bert Keats. J. Bert Keats is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Comparison of Parameter Estimation for Weibull Distribution | 2 |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 20 | |
| 10 | 22 | |
| 11 | 29 | |
| 12 | 38 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 194 | |
| 18 | 9 | |
| 19 | 6 | |
| 20 | 349 |
About J. Bert Keats
J. Bert Keats is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Statistics and Probability, having authored 49 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (27 papers), Scientific Measurement and Uncertainty Evaluation (15 papers) and Reliability and Maintenance Optimization (9 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.3k citations), Statistics and Probability (814 citations) and Medical Laboratory Technology (129 citations). J. Bert Keats has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Douglas C. Montgomery, George C. Runger, Fu‐Kwun Wang, W. J. Zimmer, Sharad S. Prabhu, Eric R. Ziegel, Connie M. Borror, Enrique Del Castillo, Elart von Collani and Kenneth E. Case. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Operations Research.
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.