Brian H. Yim
- Sociology and Political Science top 5%
- Marketing top 10%
- Gender Studies top 10%
- Organizational Behavior and Human Resource Management top 10%
- Social Psychology
- Co-authors
- Kevin K. ByonHuimin SongKyungsik KimJames J. ZhangWooyoung JangThomas BakerJacob E. BarkleyAndrew Lepp
- Topics
- Sports, Gender, and Society (8 papers)Sport and Mega-Event Impacts (7 papers)Consumer Behavior in Brand Consumption and Identification (5 papers)
- Journals
- Medicine & Science in Sports & ExerciseComputers in Human BehaviorAmerican Journal of Preventive Medicine
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Brian H. Yim
25 papers receiving 325 citations
Peers
Comparison fields: 5 of 66
- Sociology and Political Science 244
- Marketing 83
- Gender Studies 81
- Organizational Behavior and Human Resource Management 61
- Social Psychology 57
Countries citing papers authored by Brian H. Yim
This map shows the geographic impact of Brian H. Yim'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 Brian H. Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian H. Yim more than expected).
Fields of papers citing papers by Brian H. Yim
This network shows the impact of papers produced by Brian H. Yim. 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 Brian H. Yim. The network helps show where Brian H. Yim may publish in the future.
Co-authorship network of co-authors of Brian H. Yim
This figure shows the co-authorship network connecting the top 25 collaborators of Brian H. Yim. A scholar is included among the top collaborators of Brian H. Yim 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 Brian H. Yim. Brian H. Yim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 15 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 30 | |
| 17 | 3 | |
| 18 | 100 | |
| 19 | 18 | |
| 20 | 0 |
About Brian H. Yim
Brian H. Yim is a scholar working on Gender Studies, Marketing and Organizational Behavior and Human Resource Management, having authored 26 papers that have together received 335 indexed citations. Recurring topics across this work include Sports, Gender, and Society (8 papers), Sport and Mega-Event Impacts (7 papers) and Consumer Behavior in Brand Consumption and Identification (5 papers). The work is most often cited by research in Marketing (83 citations), Gender Studies (81 citations) and Organizational Behavior and Human Resource Management (61 citations). Brian H. Yim has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Kevin K. Byon, Huimin Song, Kyungsik Kim, James J. Zhang, Wooyoung Jang, Thomas Baker, Jacob E. Barkley, Andrew Lepp, Suk-Kyu Kim and Oxiris Barbot. Their work appears in journals such as Medicine & Science in Sports & Exercise, Computers in Human Behavior and American Journal of Preventive Medicine.
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.