Terence T. Ow
- Sociology and Political Science top 10%
- Information Systems and Management top 5%
- Management Science and Operations Research top 5%
- Management Information Systems top 10%
- Marketing top 10%
- Co-authors
- Divakaran LiginlalRajiv KohliSarv DevarajSung S. KimSoumya RayXiaolei WangLuning LiuYuqiang Feng
- Topics
- Technology Adoption and User Behaviour (8 papers)Digital Marketing and Social Media (7 papers)Knowledge Management and Sharing (6 papers)
- Journals
- Communications of the ACMEuropean Journal of Operational ResearchJournal of Operations Management
- Partner nations
- United StatesChinaLatvia
In The Last Decade
Terence T. Ow
19 papers receiving 438 citations
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 146
- Information Systems and Management 102
- Management Science and Operations Research 99
- Management Information Systems 79
- Marketing 75
Countries citing papers authored by Terence T. Ow
This map shows the geographic impact of Terence T. Ow'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 Terence T. Ow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terence T. Ow more than expected).
Fields of papers citing papers by Terence T. Ow
This network shows the impact of papers produced by Terence T. Ow. 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 Terence T. Ow. The network helps show where Terence T. Ow may publish in the future.
Co-authorship network of co-authors of Terence T. Ow
This figure shows the co-authorship network connecting the top 25 collaborators of Terence T. Ow. A scholar is included among the top collaborators of Terence T. Ow 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 Terence T. Ow. Terence T. Ow 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 | 1 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 42 | |
| 6 | 18 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | Examining the Impact of Information Technology on Healthcare Performance: A Theory of Swift and Even Flow (TSEF) Perspective | 1 |
| 12 | 129 | |
| 13 | 84 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 69 | |
| 18 | 8 | |
| 19 | 19 | |
| 20 | 26 |
About Terence T. Ow
Terence T. Ow is a scholar working on Information Systems and Management, General Decision Sciences and Communication, having authored 21 papers that have together received 471 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (8 papers), Digital Marketing and Social Media (7 papers) and Knowledge Management and Sharing (6 papers). The work is most often cited by research in Information Systems and Management (102 citations), Management Information Systems (79 citations) and Communication (58 citations). Terence T. Ow has collaborated with scholars based in United States, China and Latvia. Frequent co-authors include Divakaran Liginlal, Rajiv Kohli, Sarv Devaraj, Sung S. Kim, Soumya Ray, Xiaolei Wang, Luning Liu, Yuqiang Feng, Charles A. Wood and Jiandong Lu. Their work appears in journals such as Communications of the ACM, European Journal of Operational Research and Journal of Operations 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.