Wai Ming Mak
- Organizational Behavior and Human Resource Management top 2%
- Strategy and Management top 10%
- Social Psychology top 10%
- Demography top 5%
- Sociology and Political Science
- Co-authors
- Simon C. H. ChanDavid R. ThompsonHejiao HuangJimmy ChangJiao LiTo-Yat CheungAndy W. ChanMei Mei Lau
- Topics
- Job Satisfaction and Organizational Behavior (5 papers)Emotional Labor in Professions (2 papers)Customer Service Quality and Loyalty (2 papers)
- Cited by
- Organizational Behavior and Human Resource ManagementHuman Factors and ErgonomicsDemography
In The Last Decade
Wai Ming Mak
14 papers receiving 418 citations
Peers
Comparison fields: 5 of 66
- Organizational Behavior and Human Resource Management 298
- Strategy and Management 102
- Social Psychology 91
- Demography 90
- Sociology and Political Science 78
Countries citing papers authored by Wai Ming Mak
This map shows the geographic impact of Wai Ming Mak'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 Wai Ming Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wai Ming Mak more than expected).
Fields of papers citing papers by Wai Ming Mak
This network shows the impact of papers produced by Wai Ming Mak. 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 Wai Ming Mak. The network helps show where Wai Ming Mak may publish in the future.
Co-authorship network of co-authors of Wai Ming Mak
This figure shows the co-authorship network connecting the top 25 collaborators of Wai Ming Mak. A scholar is included among the top collaborators of Wai Ming Mak 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 Wai Ming Mak. Wai Ming Mak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | The Use of Computer-Assisted, Interactive Role-Play Simulation in China | 0 |
| 3 | 142 | |
| 4 | 49 | |
| 5 | 10 | |
| 6 | 29 | |
| 7 | 127 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | The Use of Learning Styles Questionnaire in Hong Kong | 6 |
| 11 | Managing human resources in Hong Kong | 1 |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 10 |
About Wai Ming Mak
Wai Ming Mak is a scholar working on Organizational Behavior and Human Resource Management, Management Information Systems and Public Administration, having authored 15 papers that have together received 462 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (5 papers), Emotional Labor in Professions (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (298 citations), Human Factors and Ergonomics (23 citations) and Demography (90 citations). Wai Ming Mak has collaborated with scholars based in Hong Kong and China. Frequent co-authors include Simon C. H. Chan, David R. Thompson, Hejiao Huang, Jimmy Chang, Jiao Li, To-Yat Cheung, Andy W. Chan, Mei Mei Lau and Chester K.M. To. Their work appears in journals such as Asia Pacific Journal of Management, Personnel Review and Leadership & Organization Development Journal.
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.