Jane R. Williams
- Organizational Behavior and Human Resource Management top 1%
- Social Psychology top 5%
- Sociology and Political Science top 10%
- Management Information Systems top 5%
- Applied Psychology top 5%
- Co-authors
- Paul E. LevyBrian D. CawleyLisa A. SteelmanMichael A. JohnsonPaul H. LysakerMichelle P. SalyersAngela L. RollinsKathy Johnson
- Topics
- Job Satisfaction and Organizational Behavior (9 papers)Accounting and Organizational Management (4 papers)Human Resource Development and Performance Evaluation (3 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementApplied PsychologyManagement Information Systems
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Jane R. Williams
16 papers receiving 948 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Organizational Behavior and Human Resource Management 664
- Social Psychology 257
- Sociology and Political Science 191
- Management Information Systems 178
- Applied Psychology 175
Countries citing papers authored by Jane R. Williams
This map shows the geographic impact of Jane R. Williams'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 Jane R. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane R. Williams more than expected).
Fields of papers citing papers by Jane R. Williams
This network shows the impact of papers produced by Jane R. Williams. 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 Jane R. Williams. The network helps show where Jane R. Williams may publish in the future.
Co-authorship network of co-authors of Jane R. Williams
This figure shows the co-authorship network connecting the top 25 collaborators of Jane R. Williams. A scholar is included among the top collaborators of Jane R. Williams 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 Jane R. Williams. Jane R. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 34 | |
| 6 | 44 | |
| 7 | The Social Context of Performance Appraisal: A Review and Framework for the Futurebreakdown → | 537 |
| 8 | 15 | |
| 9 | 34 | |
| 10 | 32 | |
| 11 | 80 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 76 | |
| 15 | 10 | |
| 16 | 116 | |
| 17 | 64 |
About Jane R. Williams
Jane R. Williams is a scholar working on Organizational Behavior and Human Resource Management, Equine and Applied Psychology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (9 papers), Accounting and Organizational Management (4 papers) and Human Resource Development and Performance Evaluation (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (664 citations), Applied Psychology (175 citations) and Management Information Systems (178 citations). Jane R. Williams has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Paul E. Levy, Brian D. Cawley, Lisa A. Steelman, Michael A. Johnson, Paul H. Lysaker, Michelle P. Salyers, Angela L. Rollins, Kathy Johnson, M. Chatel and John M. Williams. Their work appears in journals such as Journal of Applied Psychology, Journal of Management 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.