Kyeongheui Kim
- Marketing top 2%
- Sociology and Political Science top 10%
- Organizational Behavior and Human Resource Management top 5%
- Strategy and Management
- Social Psychology
- Co-authors
- Alokparna Basu MongaDeborah Roedder JohnBarbara LokenJungkeun KimJongwon ParkJoan Meyers‐LevyRaghunath Singh RaoAkshay R. Rao
- Topics
- Consumer Behavior in Brand Consumption and Identification (5 papers)Digital Marketing and Social Media (4 papers)Cultural Differences and Values (3 papers)
- Cited by
- MarketingTourism, Leisure and Hospitality ManagementOrganizational Behavior and Human Resource Management
- Partner nations
- CanadaNew ZealandUnited States
In The Last Decade
Kyeongheui Kim
7 papers receiving 375 citations
Peers
Comparison fields: 5 of 58
- Marketing 308
- Sociology and Political Science 215
- Organizational Behavior and Human Resource Management 105
- Strategy and Management 55
- Social Psychology 44
Countries citing papers authored by Kyeongheui Kim
This map shows the geographic impact of Kyeongheui 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 Kyeongheui Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyeongheui Kim more than expected).
Fields of papers citing papers by Kyeongheui Kim
This network shows the impact of papers produced by Kyeongheui 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 Kyeongheui Kim. The network helps show where Kyeongheui Kim may publish in the future.
Co-authorship network of co-authors of Kyeongheui Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Kyeongheui Kim. A scholar is included among the top collaborators of Kyeongheui 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 Kyeongheui Kim. Kyeongheui 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 | 8 | |
| 2 | Human Model Effect? Online Visual Presentation of Fashion Merchandise | 1 |
| 3 | 82 | |
| 4 | 37 | |
| 5 | 29 | |
| 6 | Cultural Differences in Brand Extension Judgments and Feedback Effects | 2 |
| 7 | 259 |
About Kyeongheui Kim
Kyeongheui Kim is a scholar working on Marketing, Computer Graphics and Computer-Aided Design and Applied Psychology, having authored 7 papers that have together received 418 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (5 papers), Digital Marketing and Social Media (4 papers) and Cultural Differences and Values (3 papers). The work is most often cited by research in Marketing (308 citations), Tourism, Leisure and Hospitality Management (36 citations) and Organizational Behavior and Human Resource Management (105 citations). Kyeongheui Kim has collaborated with scholars based in Canada, New Zealand and United States. Frequent co-authors include Alokparna Basu Monga, Deborah Roedder John, Barbara Loken, Jungkeun Kim, Jongwon Park, Joan Meyers‐Levy, Raghunath Singh Rao, Akshay R. Rao, Joann Peck and Mauricio Palmeira. Their work appears in journals such as Journal of Marketing Research, Journal of Consumer Research and Journal of Business Research.
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.