Daehwan Kim
- Sociology and Political Science top 5%
- Human-Computer Interaction top 2%
- Marketing top 5%
- Social Psychology top 10%
- Gender Studies top 5%
- Co-authors
- Yong Jae KoJeeyoon KimWonseok JangYukyoum KimHany KimDaniel L. WannJoon Sung LeeDongsik Jo
- Topics
- Sport and Mega-Event Impacts (13 papers)Sports, Gender, and Society (8 papers)Consumer Behavior in Brand Consumption and Identification (7 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Daehwan Kim
47 papers receiving 738 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Sociology and Political Science 378
- Human-Computer Interaction 209
- Marketing 189
- Social Psychology 132
- Gender Studies 120
Countries citing papers authored by Daehwan Kim
This map shows the geographic impact of Daehwan 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 Daehwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehwan Kim more than expected).
Fields of papers citing papers by Daehwan Kim
This network shows the impact of papers produced by Daehwan 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 Daehwan Kim. The network helps show where Daehwan Kim may publish in the future.
Co-authorship network of co-authors of Daehwan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Daehwan Kim. A scholar is included among the top collaborators of Daehwan 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 Daehwan Kim. Daehwan 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 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 7 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 13 | |
| 12 | 27 | |
| 13 | The impact of virtual reality (VR) technology on sport spectators' flow experience and satisfactionbreakdown → | 322 |
| 14 | 18 | |
| 15 | 1 | |
| 16 | Queuing Buffer Method For Enhancing Capturing Application Reliability | 0 |
| 17 | Tracking controller design of omnidirectional mobile manipulator system | 11 |
| 18 | Emergency Alarm Service for the old and the weak by Human Behavior Recognition in Intelligent Space | 0 |
| 19 | 4 | |
| 20 | 11 |
About Daehwan Kim
Daehwan Kim is a scholar working on Human-Computer Interaction, Marketing and Gender Studies, having authored 58 papers that have together received 787 indexed citations. Recurring topics across this work include Sport and Mega-Event Impacts (13 papers), Sports, Gender, and Society (8 papers) and Consumer Behavior in Brand Consumption and Identification (7 papers). The work is most often cited by research in Human-Computer Interaction (209 citations), Marketing (189 citations) and Gender Studies (120 citations). Daehwan Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yong Jae Ko, Jeeyoon Kim, Wonseok Jang, Yukyoum Kim, Hany Kim, Daniel L. Wann, Joon Sung Lee, Dongsik Jo, Daijin Kim and Jeongmi Kim. Their work appears in journals such as Computers in Human Behavior, International Journal of Computer Vision and Sustainability.
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.