Glenn W. Milligan

11.4k total citations · 5 hit papers
40 papers, 7.8k citations indexed

About

Glenn W. Milligan is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Glenn W. Milligan has authored 40 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Statistics and Probability and 8 papers in Signal Processing. Recurrent topics in Glenn W. Milligan's work include Advanced Clustering Algorithms Research (21 papers), Data Management and Algorithms (8 papers) and Bayesian Methods and Mixture Models (7 papers). Glenn W. Milligan is often cited by papers focused on Advanced Clustering Algorithms Research (21 papers), Data Management and Algorithms (8 papers) and Bayesian Methods and Mixture Models (7 papers). Glenn W. Milligan collaborates with scholars based in United States, France and Canada. Glenn W. Milligan's co-authors include Martha C. Cooper, H. Charles Romesburg, Rebecca Duray, Peter T. Ward, William L. Berry, Paul D. Isaac, David A. Schilling, Richard Cheng, Daniel P. Faith and Lee Belbin and has published in prestigious journals such as Psychological Bulletin, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Marketing Research.

In The Last Decade

Glenn W. Milligan

40 papers receiving 7.1k citations

Hit Papers

An Examination of Procedu... 1980 2026 1995 2010 1985 1980 1985 1988 2000 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn W. Milligan United States 23 1.9k 625 607 555 542 40 7.8k
M. Stone United Kingdom 25 2.3k 1.2× 1.1k 1.7× 331 0.5× 426 0.8× 213 0.4× 88 11.9k
Fionn Murtagh United Kingdom 28 1.7k 0.9× 1.1k 1.7× 652 1.1× 802 1.4× 226 0.4× 116 9.1k
Dean W. Wichern United States 23 1.6k 0.9× 432 0.7× 440 0.7× 562 1.0× 144 0.3× 47 13.8k
Stuart E. Dreyfus United States 33 1.4k 0.7× 601 1.0× 528 0.9× 272 0.5× 150 0.3× 95 10.6k
Joe H. Ward United States 8 1.9k 1.0× 902 1.4× 600 1.0× 467 0.8× 143 0.3× 28 16.8k
Martha C. Cooper United States 23 1.3k 0.7× 568 0.9× 368 0.6× 501 0.9× 686 1.3× 40 11.7k
J. Douglas Carroll United States 35 1.1k 0.6× 533 0.9× 1.0k 1.7× 183 0.3× 150 0.3× 119 8.4k
Vladimir Batagelj Slovenia 31 915 0.5× 931 1.5× 233 0.4× 668 1.2× 244 0.5× 101 6.2k
Patrick J. F. Groenen Netherlands 32 1.1k 0.6× 633 1.0× 435 0.7× 232 0.4× 156 0.3× 122 6.4k
Glenn Shafer United States 38 6.4k 3.3× 1.3k 2.0× 716 1.2× 856 1.5× 182 0.3× 104 15.9k

Countries citing papers authored by Glenn W. Milligan

Since Specialization
Citations

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

Fields of papers citing papers by Glenn W. Milligan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn W. Milligan. 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 Glenn W. Milligan. The network helps show where Glenn W. Milligan may publish in the future.

Co-authorship network of co-authors of Glenn W. Milligan

This figure shows the co-authorship network connecting the top 25 collaborators of Glenn W. Milligan. A scholar is included among the top collaborators of Glenn W. Milligan 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 Glenn W. Milligan. Glenn W. Milligan 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.
Duray, Rebecca, Peter T. Ward, Glenn W. Milligan, & William L. Berry. (2000). Approaches to mass customization: configurations and empirical validation. Journal of Operations Management. 18(6). 605–625. 507 indexed citations breakdown →
2.
Milligan, Glenn W. & Rebecca Duray. (1999). Improving customer satisfaction through mass customization. Quality progress. 32(8). 60–66. 28 indexed citations
3.
Cheng, Richard & Glenn W. Milligan. (1996). K-Means Clustering Methods with Influence Detection. Educational and Psychological Measurement. 56(5). 833–838. 13 indexed citations
4.
Milligan, Glenn W. & Richard Cheng. (1996). Measuring the influence of individual data points in a cluster analysis. Journal of Classification. 13(2). 315–335. 33 indexed citations
5.
Cheng, Richard & Glenn W. Milligan. (1995). Mapping Influence Regions in Heirarchical Clustering. Multivariate Behavioral Research. 30(4). 547–576. 6 indexed citations
6.
Belbin, Lee, Daniel P. Faith, & Glenn W. Milligan. (1992). A Comparison of Two Approaches to Beta-Flexible Clustering. Multivariate Behavioral Research. 27(3). 417–433. 65 indexed citations
7.
Milligan, Glenn W.. (1989). A validation study of a variable weighting algorithm for cluster analysis. Journal of Classification. 6(1). 53–71. 60 indexed citations
8.
Milligan, Glenn W.. (1989). A Study of the Beta-Flexible Clustering Method. Multivariate Behavioral Research. 24(2). 163–176. 45 indexed citations
9.
Windham, Michael P., J. Wesley Hutchinson, Shizuhiko Nishisato, et al.. (1988). Book reviews. Journal of Classification. 5(1). 105–154. 1 indexed citations
10.
Milligan, Glenn W., Danny Wong, & Paul A. Thompson. (1987). Robustness properties of nonorthogonal analysis of variance.. Psychological Bulletin. 101(3). 464–470. 1 indexed citations
11.
Milligan, Glenn W. & Martha C. Cooper. (1987). Methodology Review: Clustering Methods. Applied Psychological Measurement. 11(4). 329–354. 494 indexed citations
12.
Milligan, Glenn W. & David A. Schilling. (1985). Asymptotic and Finite Sample Characteristics of Four External Criterion Measures. Multivariate Behavioral Research. 20(1). 97–109. 17 indexed citations
13.
Milligan, Glenn W.. (1985). An Algorithm for Generating Artificial Test Clusters. Psychometrika. 50(1). 123–127. 108 indexed citations
14.
Milligan, Glenn W. & H. Charles Romesburg. (1985). Cluster Analysis for Researchers. Journal of Marketing Research. 22(2). 224–224. 779 indexed citations breakdown →
15.
Milligan, Glenn W., et al.. (1983). The Effect of Cluster Size, Dimensionality, and the Number of Clusters on Recovery of True Cluster Structure. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-5(1). 40–47. 119 indexed citations
16.
Milligan, Glenn W.. (1980). Factors that affect Type I and Type II error rates in the analysis of multidimensional contingency tables.. Psychological Bulletin. 87(2). 238–244. 27 indexed citations
17.
Milligan, Glenn W., et al.. (1980). A Two-Stage Clustering Algorithm with Robust Recovery Characteristics. Educational and Psychological Measurement. 40(3). 755–759. 121 indexed citations
18.
Milligan, Glenn W.. (1980). An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithms. Psychometrika. 45(3). 325–342. 882 indexed citations breakdown →
19.
Milligan, Glenn W.. (1979). Ultrametric Hierarchical Clustering Algorithms. Psychometrika. 44(3). 343–346. 51 indexed citations
20.
Milligan, Glenn W.. (1978). An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms. OhioLink ETD Center (Ohio Library and Information Network). 1 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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