Steven D. Charlier
- Organizational Behavior and Human Resource Management top 5%
- Social Psychology top 10%
- Management of Technology and Innovation top 5%
- Communication top 10%
- Sociology and Political Science
- Co-authors
- Kenneth G. BrownLindsey GrecoSara L. RynesCody J. ReevesGreg L. StewartRyan D. ZimmermanIn‐Sue OhChristopher M. Berry
- Topics
- Management and Organizational Studies (6 papers)Management and Marketing Education (5 papers)Knowledge Management and Sharing (4 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementManagement of Technology and InnovationCommunication
- Partner nations
- United States
In The Last Decade
Steven D. Charlier
16 papers receiving 335 citations
Peers
Comparison fields: 5 of 59
- Organizational Behavior and Human Resource Management 174
- Social Psychology 107
- Management of Technology and Innovation 66
- Communication 64
- Sociology and Political Science 53
Countries citing papers authored by Steven D. Charlier
This map shows the geographic impact of Steven D. Charlier'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 Steven D. Charlier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven D. Charlier more than expected).
Fields of papers citing papers by Steven D. Charlier
This network shows the impact of papers produced by Steven D. Charlier. 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 Steven D. Charlier. The network helps show where Steven D. Charlier may publish in the future.
Co-authorship network of co-authors of Steven D. Charlier
This figure shows the co-authorship network connecting the top 25 collaborators of Steven D. Charlier. A scholar is included among the top collaborators of Steven D. Charlier 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 Steven D. Charlier. Steven D. Charlier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 39 | |
| 6 | 2 | |
| 7 | 70 | |
| 8 | 25 | |
| 9 | 24 | |
| 10 | 3 | |
| 11 | 22 | |
| 12 | 0 | |
| 13 | 50 | |
| 14 | 6 | |
| 15 | 37 | |
| 16 | 36 | |
| 17 | 20 | |
| 18 | Quid Pro Quo Propensity: A Meta-Analytic Examination of Equity Sensitivity and Exchange Ideology | 1 |
About Steven D. Charlier
Steven D. Charlier is a scholar working on Organizational Behavior and Human Resource Management, Management of Technology and Innovation and Communication, having authored 18 papers that have together received 354 indexed citations. Recurring topics across this work include Management and Organizational Studies (6 papers), Management and Marketing Education (5 papers) and Knowledge Management and Sharing (4 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (174 citations), Management of Technology and Innovation (66 citations) and Communication (64 citations). Steven D. Charlier has collaborated with scholars based in United States. Frequent co-authors include Kenneth G. Brown, Lindsey Greco, Sara L. Rynes, Cody J. Reeves, Greg L. Stewart, Ryan D. Zimmerman, In‐Sue Oh, Christopher M. Berry, Michael K. Mount and Russell P. Guay. Their work appears in journals such as Journal of Organizational Behavior, The Leadership Quarterly and Journal of Vocational 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.