Monica Law
- Sociology and Political Science top 10%
- Marketing top 5%
- Organizational Behavior and Human Resource Management top 5%
- Information Systems and Management top 5%
- Strategy and Management top 10%
- Co-authors
- Mark NgMillissa F.Y. CheungTheresa LauRon Chi-Wai KwokYung Hou WongKin‐Fai ChanChi Wai KanC.K. Kwong
- Topics
- Digital Marketing and Social Media (9 papers)Technology Adoption and User Behaviour (8 papers)Customer Service Quality and Loyalty (6 papers)
- Cited by
- MarketingInformation Systems and ManagementOrganizational Behavior and Human Resource Management
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Monica Law
27 papers receiving 496 citations
Peers
Comparison fields: 5 of 100
- Sociology and Political Science 177
- Marketing 169
- Organizational Behavior and Human Resource Management 147
- Information Systems and Management 108
- Strategy and Management 65
Countries citing papers authored by Monica Law
This map shows the geographic impact of Monica Law'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 Monica Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monica Law more than expected).
Fields of papers citing papers by Monica Law
This network shows the impact of papers produced by Monica Law. 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 Monica Law. The network helps show where Monica Law may publish in the future.
Co-authorship network of co-authors of Monica Law
This figure shows the co-authorship network connecting the top 25 collaborators of Monica Law. A scholar is included among the top collaborators of Monica Law 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 Monica Law. Monica Law 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 | 0 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 19 | |
| 7 | 9 | |
| 8 | Virtual Reality: Improving Interviewing Skills in Individuals with Autism Spectrum Disorder | 5 |
| 9 | Assessing Connectedness in an Online MBA Course. | 2 |
| 10 | 19 | |
| 11 | 29 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 8 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 23 | |
| 20 | 61 |
About Monica Law
Monica Law is a scholar working on Information Systems and Management, Marketing and Organizational Behavior and Human Resource Management, having authored 30 papers that have together received 546 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (9 papers), Technology Adoption and User Behaviour (8 papers) and Customer Service Quality and Loyalty (6 papers). The work is most often cited by research in Marketing (169 citations), Information Systems and Management (108 citations) and Organizational Behavior and Human Resource Management (147 citations). Monica Law has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Mark Ng, Millissa F.Y. Cheung, Theresa Lau, Ron Chi-Wai Kwok, Yung Hou Wong, Kin‐Fai Chan, Chi Wai Kan, C.K. Kwong, C.W.M. Yuen and Huimin Jiang. Their work appears in journals such as Medical Physics, Neurocomputing and Finance research letters.
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.