Ji Won Kim
- Sociology and Political Science top 5%
- Clinical Psychology top 10%
- Communication top 5%
- Literature and Literary Theory top 2%
- Marketing top 10%
- Co-authors
- T. Makana ChockJiyoung LeeFrank BioccaYue DaiGina Masullo ChenHee Yun LeePaul SajdaArmen R. Kherlopian
- Topics
- Misinformation and Its Impacts (10 papers)Social Media and Politics (6 papers)Media Influence and Health (6 papers)
- Partner nations
- United StatesSouth KoreaHong Kong
In The Last Decade
Ji Won Kim
32 papers receiving 627 citations
Peers
Comparison fields: 5 of 95
- Sociology and Political Science 410
- Clinical Psychology 171
- Communication 150
- Literature and Literary Theory 136
- Marketing 88
Countries citing papers authored by Ji Won Kim
This map shows the geographic impact of Ji Won 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 Ji Won Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Won Kim more than expected).
Fields of papers citing papers by Ji Won Kim
This network shows the impact of papers produced by Ji Won 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 Ji Won Kim. The network helps show where Ji Won Kim may publish in the future.
Co-authorship network of co-authors of Ji Won Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Ji Won Kim. A scholar is included among the top collaborators of Ji Won 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 Ji Won Kim. Ji Won 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 | 5 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | The Relationship between Information Technology Literacy and Healthy Aging in the Korean Older Adults: Focused on Comparison Age Difference | 1 |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 22 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | The Effect of Rehabilitation Policy(‘Early Intervention’) for the Industrial Accident Disabled on Employment Quality of Job Change | 1 |
| 19 | Exploring Korean Mothers` Socially Constructed Meaning of School Readiness in Lower and Higher Socioeconomic Status Communities | 1 |
| 20 | 24 |
About Ji Won Kim
Ji Won Kim is a scholar working on Communication, Literature and Literary Theory and Human-Computer Interaction, having authored 35 papers that have together received 659 indexed citations. Recurring topics across this work include Misinformation and Its Impacts (10 papers), Social Media and Politics (6 papers) and Media Influence and Health (6 papers). The work is most often cited by research in Communication (150 citations), Literature and Literary Theory (136 citations) and Human-Computer Interaction (61 citations). Ji Won Kim has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include T. Makana Chock, Jiyoung Lee, Frank Biocca, Yue Dai, Gina Masullo Chen, Hee Yun Lee, Paul Sajda, Armen R. Kherlopian, Madhav Sukumaran and Minerva Yue. Their work appears in journals such as Computers in Human Behavior, Applied Surface Science and New Media & Society.
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.