Glen Meeden

1.9k total citations · 1 hit paper
95 papers, 1.2k citations indexed

About

Glen Meeden is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Glen Meeden has authored 95 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Statistics and Probability, 46 papers in Artificial Intelligence and 14 papers in Management Science and Operations Research. Recurrent topics in Glen Meeden's work include Bayesian Methods and Mixture Models (34 papers), Statistical Methods and Bayesian Inference (24 papers) and Survey Sampling and Estimation Techniques (21 papers). Glen Meeden is often cited by papers focused on Bayesian Methods and Mixture Models (34 papers), Statistical Methods and Bayesian Inference (24 papers) and Survey Sampling and Estimation Techniques (21 papers). Glen Meeden collaborates with scholars based in United States, South Korea and Ireland. Glen Meeden's co-authors include Richard A. Groeneveld, Malay Ghosh, Stephen B. Vardeman, Sueli Aparecida Mingoti, Kun He, Barry C. Arnold, Malay Ghosh, Siamak Noorbaloochi, Henry E. Kyburg and David Nelson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Glen Meeden

84 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Measuring Skewness and Kurtosis

1984 539 citations Richard A. Groeneveld, Glen Meeden profile →

Peers

Glen Meeden

SP

AI

EE

SPU

FINAN

Robert H. Berk United States

Timothy R. C. Read United States

Yogendra P. Chaubey Canada

S. K. Katti United States

Kenneth N. Berk United States

George W. Cobb United States

Ramalingam Shanmugam United States

Deborah Nolan United States

Sadanori Konishi Japan

Ming−Yen Cheng Taiwan

Robert H. Berk United States

Glen Meeden

517 ×0.9

SP

299 ×1.0

AI

114 ×0.8

EE

143 ×1.2

SPU

117 ×1.0

FINAN

Citations per year, relative to Glen Meeden Glen Meeden (= 1×) peers Robert H. Berk

Countries citing papers authored by Glen Meeden

Since Specialization

Citations

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

Fields of papers citing papers by Glen Meeden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen Meeden. 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 Glen Meeden. The network helps show where Glen Meeden may publish in the future.

Co-authorship network of co-authors of Glen Meeden

This figure shows the co-authorship network connecting the top 25 collaborators of Glen Meeden. A scholar is included among the top collaborators of Glen Meeden 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 Glen Meeden. Glen Meeden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Groeneveld, Richard A. & Glen Meeden. (2009). An Improved Skewness Measure. RePEc: Research Papers in Economics. 5 indexed citations

2.

Meeden, Glen, et al.. (2007). Some Bayesian Methods for Two Auditing Problems. Communication in Statistics- Theory and Methods. 36(15). 2727–2740. 2 indexed citations

3.

Nelson, David & Glen Meeden. (2004). Noninformative nonparametric quantile estimation for simple random samples. Journal of Statistical Planning and Inference. 136(1). 53–67. 5 indexed citations

4.

Meeden, Glen, et al.. (2003). Exploring Imprecise Probability Assessments Based on Linear Constraints.. 360–370. 3 indexed citations

5.

Meeden, Glen, et al.. (1998). The admissibility of the maximum likelihood estimator for decomposable log-linear interaction models for contingency tables. Communication in Statistics- Theory and Methods. 27(2). 473–493. 2 indexed citations

6.

Meeden, Glen, et al.. (1994). A minimal complete class theorem for decision problems where the parameter space contains only finitely many points. Metrika. 41(1). 227–232.

7.

Meeden, Glen. (1994). MEDIAN ESTIMATION USING AUXILIARY INFORMATION. 21. 71–77. 16 indexed citations

8.

Meeden, Glen, et al.. (1994). Admissible estimation in an one parameter nonregular family of absolutely continuous distributions. Communication in Statistics- Theory and Methods. 23(10). 2993–3001. 3 indexed citations

9.

Meeden, Glen. (1993). Noninformative nonparametric Bayesian estimation of quantiles. Statistics & Probability Letters. 16(2). 103–109. 5 indexed citations

10.

Ghosh, Malay & Glen Meeden. (1986). Empirical Bayes Estimation in Finite Population Sampling. Journal of the American Statistical Association. 81(396). 1058–1058. 25 indexed citations

11.

Vardeman, Stephen B. & Glen Meeden. (1983). Calibration, Sufficiency, and Domination Considerations for Bayesian Probability Assessors. Journal of the American Statistical Association. 78(384). 808–816. 20 indexed citations

12.

Meeden, Glen. (1981). Betting against a Bayesian Bookie. Journal of the American Statistical Association. 76(373). 202–204. 1 indexed citations

13.

Meeden, Glen. (1979). Comparing Two Probability Appraisers. Journal of the American Statistical Association. 74(366). 299–299. 1 indexed citations

14.

Meeden, Glen & Barry C. Arnold. (1979). The Admissibility of a Preliminary Test Estimator When the Loss Incorporates a Complexity Cost. Journal of the American Statistical Association. 74(368). 872–874. 11 indexed citations

15.

Meeden, Glen & Malay Ghosh. (1978). Admissibility of the MLE of the normal integer mean. 40. 1–10. 9 indexed citations

16.

Ghosh, Malay & Glen Meeden. (1977). On the Non-attainability of Chebyshev Bounds. The American Statistician. 31(1). 35–36. 6 indexed citations

17.

Meeden, Glen & Dean Isaacson. (1977). Approximate Behavior of the Posterior Distribution for a Large Observation. The Annals of Statistics. 5(5). 14 indexed citations

18.

Groeneveld, Richard A. & Glen Meeden. (1977). The Mode, Median, and Mean Inequality. The American Statistician. 31(3). 120–121. 59 indexed citations

19.

Ghosh, Malay & Glen Meeden. (1977). On the Non-Attainability of Chebyshev Bounds. The American Statistician. 31(1). 35–35. 1 indexed citations

20.

Meeden, Glen. (1976). A Special Property of Linear Estimates of the Normal Mean. The Annals of Statistics. 4(3). 2 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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