Angella J. Kim
- Sociology and Political Science top 0.5%
- Marketing top 0.5%
- Information Systems and Management top 0.5%
- Organizational Behavior and Human Resource Management top 2%
- Demography top 5%
- Topics
- Digital Marketing and Social Media (3 papers)Consumer Behavior in Brand Consumption and Identification (3 papers)Customer Service Quality and Loyalty (2 papers)
- Journals
- Journal of Business ResearchComputers in Human BehaviorJournal of Construction Engineering and Management
- Partner nations
- United StatesSouth Korea
In The Last Decade
Angella J. Kim
6 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Sociology and Political Science 1.6k
- Marketing 1.2k
- Information Systems and Management 658
- Organizational Behavior and Human Resource Management 361
- Demography 150
Countries citing papers authored by Angella J. Kim
This map shows the geographic impact of Angella J. 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 Angella J. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angella J. Kim more than expected).
Fields of papers citing papers by Angella J. Kim
This network shows the impact of papers produced by Angella J. 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 Angella J. Kim. The network helps show where Angella J. Kim may publish in the future.
Co-authorship network of co-authors of Angella J. Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Angella J. Kim. A scholar is included among the top collaborators of Angella J. 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 Angella J. Kim. Angella J. 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 | 4 | |
| 2 | Power of consumers using social media: Examining the influences of brand-related user-generated content on Facebookbreakdown → | 316 |
| 3 | 100 | |
| 4 | 7 | |
| 5 | 40 | |
| 6 | Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brandbreakdown → | 1515 |
About Angella J. Kim
Angella J. Kim is a scholar working on Marketing, Radiological and Ultrasound Technology and Organizational Behavior and Human Resource Management, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Marketing (1.2k citations), Information Systems and Management (658 citations) and Sociology and Political Science (1.6k citations). Angella J. Kim has collaborated with scholars based in United States and South Korea. Frequent co-authors include Eunju Ko, Kim K. P. Johnson, Heidi Wagner, Eundeok Kim, Juanjuan Wu and Li-Li Chen. Their work appears in journals such as Journal of Business Research, Computers in Human Behavior and Journal of Construction Engineering and 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.