J. Bert Keats

2.9k total citations · 1 hit paper
49 papers, 2.2k citations indexed

About

J. Bert Keats is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Safety, Risk, Reliability and Quality. According to data from OpenAlex, J. Bert Keats has authored 49 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Statistics, Probability and Uncertainty, 17 papers in Statistics and Probability and 10 papers in Safety, Risk, Reliability and Quality. Recurrent topics in J. Bert Keats's work include Advanced Statistical Process Monitoring (27 papers), Scientific Measurement and Uncertainty Evaluation (15 papers) and Reliability and Maintenance Optimization (9 papers). J. Bert Keats is often cited by papers focused on Advanced Statistical Process Monitoring (27 papers), Scientific Measurement and Uncertainty Evaluation (15 papers) and Reliability and Maintenance Optimization (9 papers). J. Bert Keats collaborates with scholars based in United States, Taiwan and Italy. J. Bert Keats's 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 and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Operations Research.

In The Last Decade

J. Bert Keats

46 papers receiving 2.0k citations

Hit Papers

Statistical Methods for Reliability Data 1999 2026 2008 2017 1999 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Bert Keats United States 21 1.3k 814 385 339 278 49 2.2k
Loon Ching Tang Singapore 32 1.2k 0.9× 952 1.2× 962 2.5× 559 1.6× 368 1.3× 114 3.4k
T. N. Goh Singapore 37 2.1k 1.6× 1.2k 1.5× 475 1.2× 633 1.9× 395 1.4× 139 3.7k
Ming‐Hung Shu Taiwan 23 1.1k 0.8× 482 0.6× 191 0.5× 778 2.3× 382 1.4× 126 1.9k
Fu‐Kwun Wang Taiwan 34 1.3k 1.0× 958 1.2× 466 1.2× 847 2.5× 439 1.6× 173 4.0k
Tongdan Jin United States 30 622 0.5× 240 0.3× 1.1k 2.9× 226 0.7× 636 2.3× 145 2.7k
Kenneth E. Case United States 17 658 0.5× 209 0.3× 94 0.2× 184 0.5× 107 0.4× 52 1.1k
Kuei‐Hu Chang Taiwan 25 662 0.5× 170 0.2× 433 1.1× 1.2k 3.4× 232 0.8× 94 2.1k
Uday Kumar India 26 447 0.3× 149 0.2× 974 2.5× 329 1.0× 286 1.0× 134 2.2k
Edward Pohl United States 22 348 0.3× 186 0.2× 768 2.0× 138 0.4× 177 0.6× 120 1.6k
Wallace R. Blischke United States 19 551 0.4× 504 0.6× 993 2.6× 155 0.5× 56 0.2× 35 1.7k

Countries citing papers authored by J. Bert Keats

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Wang, Fu‐Kwun, et al.. (2003). Comparison of Parameter Estimation for Weibull Distribution. 4(1). 41–50. 2 indexed citations
2.
Keats, J. Bert, et al.. (2002). Transient behavior of time‐between‐failures of complex repairable systems. Quality and Reliability Engineering International. 18(4). 293–297. 2 indexed citations
3.
Keats, J. Bert, et al.. (2002). Bayesian burn-in procedures for limited failure populations. International Journal of Production Research. 40(11). 2547–2555. 10 indexed citations
4.
Keats, J. Bert, et al.. (2001). A comparison of three estimators of the Weibull parameters. Quality and Reliability Engineering International. 17(4). 249–256. 14 indexed citations
5.
Keats, J. Bert, et al.. (2001). On misinterpretation of the asymptotic property of system time‐between‐failures. Quality and Reliability Engineering International. 17(2). 125–129. 2 indexed citations
6.
Keats, J. Bert, et al.. (2000). A study of the effects of mis-specification of the Weibull shape parameter on confidence bounds based on the Weibull-to-exponential transformation. Quality and Reliability Engineering International. 16(1). 27–31. 9 indexed citations
7.
Keats, J. Bert, et al.. (2000). EVALUATING COMPLEX SYSTEM RELIABILITY USING RELIABILITY BLOCK DIAGRAM SIMULATION WHEN LITTLE OR NO FAILURE DATA ARE AVAILABLE. Quality Engineering. 13(2). 169–177. 5 indexed citations
8.
Montgomery, Douglas C., et al.. (2000). Integrating statistical process monitoring with feedforward control. Quality and Reliability Engineering International. 16(6). 515–525. 11 indexed citations
9.
Runger, George C., et al.. (1999). Improving the performance of the multivariate exponentially weighted moving average control chart. Quality and Reliability Engineering International. 15(3). 161–166. 20 indexed citations
10.
Keats, J. Bert, et al.. (1998). COST OF SOFTWARE QUALITY: A MEANS OF PROMOTING SOFTWARE PROCESS IMPROVEMENT. Quality Engineering. 10(3). 563–573. 22 indexed citations
11.
Keats, J. Bert, et al.. (1998). Combining SPC and EPC in a Hybrid Industry. Journal of Quality Technology. 30(3). 189–200. 29 indexed citations
12.
Keats, J. Bert, et al.. (1997). POISSON CUSLTM VERSUS c CHART FOR DEFECT DATA. Quality Engineering. 9(4). 673–679. 38 indexed citations
13.
Keats, J. Bert, et al.. (1996). A rule-based approach to multiple statistical test analysis of binary data. IIE Transactions. 28(3). 203–213. 1 indexed citations
14.
Keats, J. Bert, et al.. (1996). FEEDBACK CONTROL AND STATISTICAL PROCESS MONITORING. International Journal of Reliability Quality and Safety Engineering. 3(3). 231–241. 5 indexed citations
15.
Simpson, James & J. Bert Keats. (1995). Trade-off analysis versus constrained optimization with an economic control chart model. IIE Transactions. 27(6). 765–772. 6 indexed citations
16.
Keats, J. Bert, et al.. (1995). THE USE OF FMEA IN PROCESS QUALITY IMPROVEMENT. International Journal of Reliability Quality and Safety Engineering. 2(1). 103–115. 2 indexed citations
17.
Prabhu, Sharad S., George C. Runger, & J. Bert Keats. (1993). X¯ chart with adaptive sample sizes. International Journal of Production Research. 31(12). 2895–2909. 194 indexed citations
18.
Clemmens, A. J. & J. Bert Keats. (1992). Bayesian Inference for Feedback Control. II: Surface Irrigation Example. Journal of Irrigation and Drainage Engineering. 118(3). 416–432. 9 indexed citations
19.
Keats, J. Bert, et al.. (1992). Bayesian Inference for Feedback Control. I: Theory. Journal of Irrigation and Drainage Engineering. 118(3). 397–415. 6 indexed citations
20.
Keats, J. Bert. (1981). Quality Planning and Analysis. Journal of Quality Technology. 13(2). 147–148. 349 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026