Mark S. Nagy
- Organizational Behavior and Human Resource Management top 2%
- Social Psychology top 5%
- Sociology and Political Science top 5%
- General Health Professions top 5%
- Clinical Psychology
- Topics
- Job Satisfaction and Organizational Behavior (3 papers)Customer Service Quality and Loyalty (2 papers)Patient Safety and Medication Errors (2 papers)
- Journals
- Journal of Occupational and Organizational PsychologyIndustrial and Organizational PsychologyJournal of Patient Safety
- Partner nations
- United States
In The Last Decade
Mark S. Nagy
11 papers receiving 904 citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Organizational Behavior and Human Resource Management 407
- Social Psychology 280
- Sociology and Political Science 257
- General Health Professions 256
- Clinical Psychology 108
Countries citing papers authored by Mark S. Nagy
This map shows the geographic impact of Mark S. Nagy'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 Mark S. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Nagy more than expected).
Fields of papers citing papers by Mark S. Nagy
This network shows the impact of papers produced by Mark S. Nagy. 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 Mark S. Nagy. The network helps show where Mark S. Nagy may publish in the future.
Co-authorship network of co-authors of Mark S. Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Nagy. A scholar is included among the top collaborators of Mark S. Nagy 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 Mark S. Nagy. Mark S. Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 644-01 Organizational Psychology | 2 |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 38 | |
| 6 | 29 | |
| 7 | 9 | |
| 8 | The Influence of Training Reputation, Managerial Support, and Self-Efficacy on Pre-Training Motivation and Perceived Training Transfer. | 60 |
| 9 | 6 | |
| 10 | Are Higher Pay Increases Necessarily Better | 5 |
| 11 | Using a single‐item approach to measure facet job satisfactionbreakdown → | 818 |
About Mark S. Nagy
Mark S. Nagy is a scholar working on Family Practice, Organizational Behavior and Human Resource Management and Emergency Medical Services, having authored 11 papers that have together received 999 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (3 papers), Customer Service Quality and Loyalty (2 papers) and Patient Safety and Medication Errors (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (407 citations), Applied Psychology (107 citations) and Research and Theory (15 citations). Mark S. Nagy has collaborated with scholars based in United States. Frequent co-authors include Morell E. Mullins, Nancy Elder, Marta L. Render, Ian Kudel, Karl Stukenberg and W. M. Nelson. Their work appears in journals such as Journal of Occupational and Organizational Psychology, Industrial and Organizational Psychology and Journal of Patient Safety.
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.