Sherriff T.K. Luk
- Organizational Behavior and Human Resource Management top 1%
- Marketing top 1%
- Sociology and Political Science top 2%
- Strategy and Management top 2%
- Information Systems and Management top 2%
- Co-authors
- Alison E. LloydHoward DaviesThomas LeungPiyush SharmaRoger LaytonPeter G.P. WaltersAbhik RoySilvio Cardinali
- Topics
- Customer Service Quality and Loyalty (19 papers)Consumer Behavior in Brand Consumption and Identification (14 papers)Consumer Retail Behavior Studies (10 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Sherriff T.K. Luk
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 87
- Organizational Behavior and Human Resource Management 797
- Marketing 688
- Sociology and Political Science 565
- Strategy and Management 419
- Information Systems and Management 169
Countries citing papers authored by Sherriff T.K. Luk
This map shows the geographic impact of Sherriff T.K. Luk'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 Sherriff T.K. Luk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sherriff T.K. Luk more than expected).
Fields of papers citing papers by Sherriff T.K. Luk
This network shows the impact of papers produced by Sherriff T.K. Luk. 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 Sherriff T.K. Luk. The network helps show where Sherriff T.K. Luk may publish in the future.
Co-authorship network of co-authors of Sherriff T.K. Luk
This figure shows the co-authorship network connecting the top 25 collaborators of Sherriff T.K. Luk. A scholar is included among the top collaborators of Sherriff T.K. Luk 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 Sherriff T.K. Luk. Sherriff T.K. Luk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 65 | |
| 4 | 38 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 102 | |
| 9 | 130 | |
| 10 | 56 | |
| 11 | 70 | |
| 12 | 16 | |
| 13 | 30 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 88 | |
| 17 | 144 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | 39 |
About Sherriff T.K. Luk
Sherriff T.K. Luk is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Tourism, Leisure and Hospitality Management, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (19 papers), Consumer Behavior in Brand Consumption and Identification (14 papers) and Consumer Retail Behavior Studies (10 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (797 citations), Marketing (688 citations) and Strategy and Management (419 citations). Sherriff T.K. Luk has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Alison E. Lloyd, Howard Davies, Thomas Leung, Piyush Sharma, Roger Layton, Peter G.P. Walters, Abhik Roy, Silvio Cardinali, Leslie S.C. Yip and Kai Jiang. Their work appears in journals such as Journal of Business Research, Tourism Management and Industrial Marketing Management.
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.