Kevin K.W. Ho
- Sociology and Political Science top 1%
- Information Systems and Management top 0.5%
- Information Systems top 1%
- Marketing top 2%
- Communication top 2%
- Co-authors
- Eric W.K. See-ToDickson K.W. ChiuPatrick LoCheuk Hang AuShuk Ying HoStuart SoHong-Ren ChenKuo‐Lun Hsiao
- Topics
- Impact of Technology on Adolescents (43 papers)Digital Marketing and Social Media (30 papers)Technology Adoption and User Behaviour (25 papers)
In The Last Decade
Kevin K.W. Ho
109 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Sociology and Political Science 1.2k
- Information Systems and Management 503
- Information Systems 477
- Marketing 432
- Communication 266
Countries citing papers authored by Kevin K.W. Ho
This map shows the geographic impact of Kevin K.W. Ho'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 Kevin K.W. Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin K.W. Ho more than expected).
Fields of papers citing papers by Kevin K.W. Ho
This network shows the impact of papers produced by Kevin K.W. Ho. 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 Kevin K.W. Ho. The network helps show where Kevin K.W. Ho may publish in the future.
Co-authorship network of co-authors of Kevin K.W. Ho
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin K.W. Ho. A scholar is included among the top collaborators of Kevin K.W. Ho 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 Kevin K.W. Ho. Kevin K.W. Ho 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 | 5 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 42 | |
| 13 | 15 | |
| 14 | 38 | |
| 15 | 3 | |
| 16 | AN EMPIRICAL ANALYSIS OF FACTORS AFFECTING THE BIDDING COMPETITION IN AN ONLINE AUCTION: A COMPARISON BETWEEN ENGLISH AND BUY-IT-NOW AUCTIONS | 1 |
| 17 | Consumer E-Service Evaluation in Hong Kong Online Music Subscription Service Industry | 1 |
| 18 | 2 | |
| 19 | 4 | |
| 20 | The Application of Referential Hierarchical Clustering Algorithm on the Sales Analysis of Publishing Industry-Example by Taiwan's Computer Publishing Industry | 3 |
About Kevin K.W. Ho
Kevin K.W. Ho is a scholar working on Information Systems and Management, Communication and Library and Information Sciences, having authored 115 papers that have together received 2.1k indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (43 papers), Digital Marketing and Social Media (30 papers) and Technology Adoption and User Behaviour (25 papers). The work is most often cited by research in Information Systems and Management (503 citations), Library and Information Sciences (89 citations) and Marketing (432 citations). Kevin K.W. Ho has collaborated with scholars based in Hong Kong, Guam and Japan. Frequent co-authors include Eric W.K. See-To, Dickson K.W. Chiu, Patrick Lo, Cheuk Hang Au, Shuk Ying Ho, Stuart So, Hong-Ren Chen, Kuo‐Lun Hsiao, Patrick Y.K. Chau and Byungjoon Yoo. Their work appears in journals such as Blood, American Journal of Clinical Nutrition and Computers in Human 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.