Glenn W. Milligan
- Artificial Intelligence top 0.5%
- Sociology and Political Science top 2%
- Signal Processing top 1%
- Information Systems top 1%
- Management of Technology and Innovation top 0.5%
- Co-authors
- Martha C. CooperH. Charles RomesburgRebecca DurayPeter T. WardWilliam L. BerryPaul D. IsaacDavid A. SchillingRichard Cheng
- Topics
- Advanced Clustering Algorithms Research (21 papers)Data Management and Algorithms (8 papers)Bayesian Methods and Mixture Models (7 papers)
- Journals
- Psychological BulletinIEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of Marketing Research
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Glenn W. Milligan
40 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 225
- Artificial Intelligence 1.9k
- Sociology and Political Science 625
- Signal Processing 607
- Information Systems 555
- Management of Technology and Innovation 542
Countries citing papers authored by Glenn W. Milligan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Approaches to mass customization: configurations and empirical validationbreakdown → | 507 |
| 2 | Improving customer satisfaction through mass customization | 28 |
| 3 | 13 | |
| 4 | 33 | |
| 5 | 6 | |
| 6 | 65 | |
| 7 | 45 | |
| 8 | 60 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 326 | |
| 12 | 108 | |
| 13 | 17 | |
| 14 | 119 | |
| 15 | 10 | |
| 16 | 27 | |
| 17 | 121 | |
| 18 | An Examination of the Effect of Six Types of Error Perturbation on Fifteen Clustering Algorithmsbreakdown → | 882 |
| 19 | 41 | |
| 20 | An examination of the effect of error perturbation of constructed data on fifteen clustering algorithms | 1 |
About Glenn W. Milligan
Glenn W. Milligan is a scholar working on Statistics and Probability, Signal Processing and Artificial Intelligence, having authored 40 papers that have together received 7.8k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (21 papers), Data Management and Algorithms (8 papers) and Bayesian Methods and Mixture Models (7 papers). The work is most often cited by research in Management of Technology and Innovation (542 citations), Artificial Intelligence (1.9k citations) and Signal Processing (607 citations). Glenn W. Milligan has collaborated with scholars based in United States, Canada and Germany. Frequent 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, Lee Belbin and Daniel P. Faith. Their work appears in journals such as Psychological Bulletin, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Marketing 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.