William J. Glynn

695 total citations
11 papers, 524 citations indexed

About

William J. Glynn is a scholar working on Organizational Behavior and Human Resource Management, Marketing and Statistics and Probability. According to data from OpenAlex, William J. Glynn has authored 11 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organizational Behavior and Human Resource Management, 3 papers in Marketing and 3 papers in Statistics and Probability. Recurrent topics in William J. Glynn's work include Customer Service Quality and Loyalty (5 papers), Bayesian Methods and Mixture Models (2 papers) and Consumer Retail Behavior Studies (2 papers). William J. Glynn is often cited by papers focused on Customer Service Quality and Loyalty (5 papers), Bayesian Methods and Mixture Models (2 papers) and Consumer Retail Behavior Studies (2 papers). William J. Glynn collaborates with scholars based in Ireland, United States and Australia. William J. Glynn's co-authors include F. J. Anscombe, Robb J. Muirhead, James G. Barnes, Gregory Elliott, Teresa Brannick, Séan Ennis, Seán de Búrca, Brian Fynes and Kent Grayson and has published in prestigious journals such as Biometrika, The Annals of Statistics and International Journal of Service Industry Management.

In The Last Decade

William J. Glynn

11 papers receiving 490 citations

Peers

William J. Glynn
Comparison fields: 5 of 104
  • Economics and Econometrics 249
  • Finance 85
  • General Economics, Econometrics and Finance 82
  • Statistics and Probability 80
  • Renewable Energy, Sustainability and the Environment 50
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Citations per field, relative to William J. Glynn
William J. Glynn · 1×
Citations per year, relative to William J. Glynn
William J. Glynn · 1×

Countries citing papers authored by William J. Glynn

Since Specialization
Citations

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

Fields of papers citing papers by William J. Glynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Glynn

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 18
2 18
3
The Listening Organisation: A Segmentation Approach to Service Quality Information
8
4
Interpersonal and Hedonic Aspects of Service Encounters
3
5
Understanding Services Management: Integrating Marketing, Organisational Behaviour, Operations and Human Resource Management
12
6 8
7 200
8 225
9 6
10 25
11
Asymptotic Distributions of Latent Roots in Canonical Correlation Analysis and in Discriminant Analysis with Applications, to Testing and Estimation.
1

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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