Myung Ja Kim
- Sociology and Political Science top 0.2%
- Marketing top 0.2%
- Information Systems and Management top 0.2%
- Organizational Behavior and Human Resource Management top 0.5%
- Human-Computer Interaction top 0.5%
- Co-authors
- Choong‐Ki LeeC. Michael HallNamho ChungTimothy JungMichael W. PreisMark A. BonnLawrence J. BendleHak Jun Song
- Topics
- Digital Marketing and Social Media (45 papers)Diverse Aspects of Tourism Research (25 papers)Technology Adoption and User Behaviour (23 papers)
- Partner nations
- South KoreaFinlandNew Zealand
In The Last Decade
Myung Ja Kim
132 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Sociology and Political Science 3.5k
- Marketing 2.1k
- Information Systems and Management 1.3k
- Organizational Behavior and Human Resource Management 990
- Human-Computer Interaction 574
Countries citing papers authored by Myung Ja Kim
This map shows the geographic impact of Myung Ja Kim'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 Myung Ja Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myung Ja Kim more than expected).
Fields of papers citing papers by Myung Ja Kim
This network shows the impact of papers produced by Myung Ja Kim. 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 Myung Ja Kim. The network helps show where Myung Ja Kim may publish in the future.
Co-authorship network of co-authors of Myung Ja Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Myung Ja Kim. A scholar is included among the top collaborators of Myung Ja Kim 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 Myung Ja Kim. Myung Ja Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Understanding tourist barriers and personality influences in embracing generative AI for travel planning and decision-makingbreakdown → | 23 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 47 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 29 | |
| 14 | 40 | |
| 15 | 19 | |
| 16 | 35 | |
| 17 | The Effect of Community Attachment and Interest and Event Awareness on Impact and Support for the Wellbeing Food Festival | 1 |
| 18 | A Transition of Health Habits and Self-rated Health Status of Women Aged in Early Adulthood | 6 |
| 19 | Nursing Interventions of the Lupus Patient | 0 |
| 20 | 1 |
About Myung Ja Kim
Myung Ja Kim is a scholar working on Marketing, Information Systems and Management and Leadership and Management, having authored 145 papers that have together received 5.8k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (45 papers), Diverse Aspects of Tourism Research (25 papers) and Technology Adoption and User Behaviour (23 papers). The work is most often cited by research in Marketing (2.1k citations), Information Systems and Management (1.3k citations) and Human-Computer Interaction (574 citations). Myung Ja Kim has collaborated with scholars based in South Korea, Finland and New Zealand. Frequent co-authors include Choong‐Ki Lee, C. Michael Hall, Namho Chung, Timothy Jung, Michael W. Preis, Mark A. Bonn, Lawrence J. Bendle, Hak Jun Song, Heesup Han and C. Michael Hall. Their work appears in journals such as Langmuir, Journal of Cleaner Production and The Journal of Physical Chemistry.
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.