Michael J. Withey
- Organizational Behavior and Human Resource Management top 1%
- Sociology and Political Science top 5%
- Social Psychology top 5%
- Strategy and Management top 10%
- Management Information Systems top 5%
- Co-authors
- William H. CooperRichard L. DaftIan R. GellatlyMegan M. WalshF. L. MortonCatherine E. ConnellyPeter H. RussellKara A. Arnold
- Topics
- Job Satisfaction and Organizational Behavior (7 papers)Customer Service Quality and Loyalty (2 papers)Emotional Intelligence and Performance (2 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementPublic AdministrationSocial Psychology
- Journals
- Academy of Management JournalAdministrative Science QuarterlyJournal of Organizational Behavior
- Partner nations
- CanadaUnited States
In The Last Decade
Michael J. Withey
14 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Organizational Behavior and Human Resource Management 602
- Sociology and Political Science 379
- Social Psychology 332
- Strategy and Management 151
- Management Information Systems 130
Countries citing papers authored by Michael J. Withey
This map shows the geographic impact of Michael J. Withey'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 Michael J. Withey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Withey more than expected).
Fields of papers citing papers by Michael J. Withey
This network shows the impact of papers produced by Michael J. Withey. 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 Michael J. Withey. The network helps show where Michael J. Withey may publish in the future.
Co-authorship network of co-authors of Michael J. Withey
This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Withey. A scholar is included among the top collaborators of Michael J. Withey 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 Michael J. Withey. Michael J. Withey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 30 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 226 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 21 | |
| 9 | 19 | |
| 10 | Predicting Exit, Voice, Loyalty, and Neglectbreakdown → | 576 |
| 11 | 11 | |
| 12 | 287 | |
| 13 | 1 | |
| 14 | 7 |
About Michael J. Withey
Michael J. Withey is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Applied Psychology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (7 papers), Customer Service Quality and Loyalty (2 papers) and Emotional Intelligence and Performance (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (602 citations), Public Administration (64 citations) and Social Psychology (332 citations). Michael J. Withey has collaborated with scholars based in Canada and United States. Frequent co-authors include William H. Cooper, Richard L. Daft, Ian R. Gellatly, Megan M. Walsh, F. L. Morton, Catherine E. Connelly, Peter H. Russell, Kara A. Arnold, Gordon D. Logan and William B. Cowan. Their work appears in journals such as Academy of Management Journal, Administrative Science Quarterly and Journal of Organizational Behavior.
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.