David S. DeGeest
- Organizational Behavior and Human Resource Management top 5%
- Social Psychology top 5%
- Sociology and Political Science top 10%
- Clinical Psychology
- Experimental and Cognitive Psychology
- Co-authors
- Andrew LiJonathan A. ShafferErik Gonzalez‐MuléKenneth G. BrownStephen H. CourtrightBrian W. McCormickJee Young SeongMichael K. Mount
- Topics
- Team Dynamics and Performance (5 papers)Job Satisfaction and Organizational Behavior (4 papers)Personality Traits and Psychology (3 papers)
- Partner nations
- United StatesNetherlandsSouth Korea
In The Last Decade
David S. DeGeest
13 papers receiving 491 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Organizational Behavior and Human Resource Management 231
- Social Psychology 193
- Sociology and Political Science 116
- Clinical Psychology 70
- Experimental and Cognitive Psychology 66
Countries citing papers authored by David S. DeGeest
This map shows the geographic impact of David S. DeGeest'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 David S. DeGeest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. DeGeest more than expected).
Fields of papers citing papers by David S. DeGeest
This network shows the impact of papers produced by David S. DeGeest. 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 David S. DeGeest. The network helps show where David S. DeGeest may publish in the future.
Co-authorship network of co-authors of David S. DeGeest
This figure shows the co-authorship network connecting the top 25 collaborators of David S. DeGeest. A scholar is included among the top collaborators of David S. DeGeest 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 David S. DeGeest. David S. DeGeest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | Tackling the Problem of Construct Proliferationbreakdown → | 275 |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 64 | |
| 8 | 1 | |
| 9 | 70 | |
| 10 | 37 | |
| 11 | 7 | |
| 12 | 31 | |
| 13 | 20 |
About David S. DeGeest
David S. DeGeest is a scholar working on Social Psychology, Organizational Behavior and Human Resource Management and Management of Technology and Innovation, having authored 13 papers that have together received 519 indexed citations. Recurring topics across this work include Team Dynamics and Performance (5 papers), Job Satisfaction and Organizational Behavior (4 papers) and Personality Traits and Psychology (3 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (231 citations), Applied Psychology (58 citations) and Social Psychology (193 citations). David S. DeGeest has collaborated with scholars based in United States, Netherlands and South Korea. Frequent co-authors include Andrew Li, Jonathan A. Shaffer, Erik Gonzalez‐Mulé, Kenneth G. Brown, Stephen H. Courtright, Brian W. McCormick, Jee Young Seong, Michael K. Mount, Frank L. Schmidt and Christa Kiersch. Their work appears in journals such as Journal of Applied Psychology, Journal of Management and Organizational Research Methods.
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.