William Q. Meeker

11.5k total citations · 1 hit paper
238 papers, 8.0k citations indexed

About

William Q. Meeker is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, William Q. Meeker has authored 238 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Statistics and Probability, 94 papers in Statistics, Probability and Uncertainty and 88 papers in Safety, Risk, Reliability and Quality. Recurrent topics in William Q. Meeker's work include Reliability and Maintenance Optimization (86 papers), Statistical Distribution Estimation and Applications (84 papers) and Probabilistic and Robust Engineering Design (75 papers). William Q. Meeker is often cited by papers focused on Reliability and Maintenance Optimization (86 papers), Statistical Distribution Estimation and Applications (84 papers) and Probabilistic and Robust Engineering Design (75 papers). William Q. Meeker collaborates with scholars based in United States, Taiwan and Switzerland. William Q. Meeker's co-authors include Luis A. Escobar, Gerald J. Hahn, Wayne Nelson, Yili Hong, Francis Pascual, Jason R. Jones, Ulrike Genschel, Ying Shi, Shuen‐Lin Jeng and Michael S. Hamada and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Environmental Science & Technology.

In The Last Decade

William Q. Meeker

218 papers receiving 7.5k citations

Hit Papers

Statistical Methods for R... 1998 2026 2007 2016 1998 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Q. Meeker United States 48 3.8k 3.3k 3.1k 1.2k 913 238 8.0k
Wayne Nelson United States 32 5.0k 1.3× 4.1k 1.2× 3.8k 1.2× 1.2k 1.0× 703 0.8× 90 9.1k
Jerald F. Lawless Canada 46 7.1k 1.9× 2.8k 0.9× 1.8k 0.6× 1.1k 1.0× 222 0.2× 166 12.4k
Nozer D. Singpurwalla United States 38 2.5k 0.7× 1.7k 0.5× 2.2k 0.7× 690 0.6× 236 0.3× 178 5.8k
Lee J. Bain United States 36 2.8k 0.7× 1.7k 0.5× 706 0.2× 509 0.4× 386 0.4× 121 6.8k
Luis A. Escobar United States 24 1.5k 0.4× 1.3k 0.4× 1.4k 0.5× 405 0.3× 230 0.3× 76 3.4k
J.C. Helton United States 37 461 0.1× 5.6k 1.7× 1.6k 0.5× 1.2k 1.0× 554 0.6× 169 9.7k
Enrique Castillo Spain 45 992 0.3× 1.3k 0.4× 415 0.1× 513 0.4× 1.0k 1.1× 245 7.6k
Alice E. Smith United States 41 366 0.1× 1.1k 0.3× 1.8k 0.6× 540 0.5× 150 0.2× 242 8.7k
George C. Runger United States 48 2.4k 0.6× 4.4k 1.3× 205 0.1× 952 0.8× 303 0.3× 183 10.7k
Ray E. Schafer United States 14 1.7k 0.5× 1.2k 0.4× 777 0.2× 335 0.3× 227 0.2× 44 3.6k

Countries citing papers authored by William Q. Meeker

Since Specialization
Citations

This map shows the geographic impact of William Q. Meeker'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 William Q. Meeker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Q. Meeker more than expected).

Fields of papers citing papers by William Q. Meeker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Q. Meeker. 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 William Q. Meeker. The network helps show where William Q. Meeker may publish in the future.

Co-authorship network of co-authors of William Q. Meeker

This figure shows the co-authorship network connecting the top 25 collaborators of William Q. Meeker. A scholar is included among the top collaborators of William Q. Meeker 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 William Q. Meeker. William Q. Meeker 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.
Erali, Richard A., Steven D. Forsythe, William Q. Meeker, et al.. (2025). Biofabrication of pheochromocytoma and paraganglioma tumor organoids and assessment of response to systemic therapy. Scientific Reports. 15(1). 35889–35889.
2.
Lewis‐Beck, Colin, et al.. (2023). Rejoinder to “Specifying Prior Distribution in Reliability Applications”. Applied Stochastic Models in Business and Industry. 40(1). 130–143.
3.
Doganaksoy, Necip, Gerald J. Hahn, & William Q. Meeker. (2017). Fallacies of Statistical Significance. Quality progress. 50(11). 56. 1 indexed citations
4.
Meeker, William Q., Gerald J. Hahn, & Luis A. Escobar. (2017). Statistical Intervals. Wiley series in probability and statistics. 140 indexed citations
5.
Doganaksoy, Necip, Gerald J. Hahn, & William Q. Meeker. (2016). Identify and Act: Performing product life data analysis with unidentified subpopulations. Quality progress. 49(12). 61.
6.
Meeker, William Q., et al.. (2015). Quantile Probability of Detection: Distinguishing Between Uncertainty and Variability in Nondestructive Testing. Materials Evaluation. 73(1). 1 indexed citations
7.
Doganaksoy, Necip, Gerald J. Hahn, & William Q. Meeker. (2014). Timely Reliability Assessment: Using destructive degradation tests. Quality progress. 47(11). 52. 1 indexed citations
8.
Meeker, William Q., et al.. (2014). More pitfalls of accelerated tests. Quality Engineering. 59(4). 349–352. 3 indexed citations
9.
Meeker, William Q., et al.. (2012). Distinguishing between uncertainty and variability in nondestructive evaluation. AIP conference proceedings. 1725–1732. 3 indexed citations
10.
Doganaksoy, Necip, Gerald J. Hahn, & William Q. Meeker. (2006). How To Analyze Reliability Data For Repairable Products. Quality progress. 39(6). 93. 1 indexed citations
11.
Doganaksoy, Necip, Gerald J. Hahn, & William Q. Meeker. (2006). Improving Reliability Through Warranty Data Analysis. Quality progress. 39(11). 63. 2 indexed citations
12.
Meeker, William Q., Gerald J. Hahn, & Necip Doganaksoy. (2004). Planning Life Tests For Reliability Demonstration. Quality progress. 37(8). 80–82. 11 indexed citations
13.
Doganaksoy, Necip, Gerald J. Hahn, & William Q. Meeker. (2003). Reliability analysis by failure mode. Quality Engineering. 48(1). 101–102. 16 indexed citations
14.
Doganaksoy, Necip, William Q. Meeker, & Gerald J. Hahn. (2003). Speedier Reliability Analysis. Quality progress. 36(6). 58–63. 3 indexed citations
15.
Meeker, William Q., et al.. (2002). A Methodology for the Assessment of the Capability of Inspection Systems for Detection of Subsurface Flaws in Aircraft Turbine Engine Components. Defense Technical Information Center (DTIC). 3 indexed citations
16.
Escobar, Luis A. & William Q. Meeker. (2001). THE ASYMPTOTIC EQUIVALENCE OF THE FISHER INFORMATION MATRICES FOR TYPE I AND TYPE II CENSORED DATA FROM LOCATION-SCALE FAMILIES. Communication in Statistics- Theory and Methods. 30(10). 2211–2225. 17 indexed citations
17.
Meeker, William Q., et al.. (1994). Optimum Accelerated Life Tests Wth a Nonconstant Scale Parameter. Technometrics. 36(1). 71–83. 81 indexed citations
18.
Nelson, Wayne & William Q. Meeker. (1978). Theory for Optimum Accelerated Censored Life Tests for Weibull and Extreme Value Distributions. Technometrics. 20(2). 171–177. 139 indexed citations
19.
Boardman, Thomas J., William Q. Meeker, Gerald J. Hahn, & Paul I. Feder. (1977). New Developments in Statistical Computing: New Bias Evaluation Features of EXPLOR—A Program for Assessing Experimental Design Properties. The American Statistician. 31(2). 95–96. 1 indexed citations
20.
Meeker, William Q. & Gerald J. Hahn. (1977). Asymptotically Optimum Over-Stress Tests to Estimate the Survival Probability at a Condition with a Low Expected Failure Probability. Technometrics. 19(4). 381–399. 43 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.

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