Inyeop Kim
Impact in
- Applied Psychology top 10%
- Digital Mental Health Interventions
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
Papers in
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- Impact of Technology on Adolescents 7
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- Personal Information Management and User Behavior 7
- Co-authors
- Uichin Lee (11 shared papers)Meeyoung Cha (2 shared papers)Sungkyu Park (2 shared papers)Jaehyun Yoo (2 shared papers)Sang Won Lee (2 shared papers)Bumseok Jeong (2 shared papers)Minsam Ko (3 shared papers)Paul H. Lee (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)Computers & Education (1 paper)Computers in Human Behavior (1 paper)Proceedings of the ACM on Human-Computer Interaction (1 paper)
- Partner nations
- South KoreaCanadaSpain
In The Last Decade
Inyeop Kim
14 papers receiving 277 citations
Peers
Comparison fields: 5 of 34
- Applied Psychology 64
- Human-Computer Interaction 55
- Information Systems and Management 58
- Sociology and Political Science 149
- Experimental and Cognitive Psychology 39
Countries citing papers authored by Inyeop Kim
This map shows the geographic impact of Inyeop 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 Inyeop Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inyeop Kim more than expected).
Fields of papers citing papers by Inyeop Kim
This network shows the impact of papers produced by Inyeop 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 Inyeop Kim. The network helps show where Inyeop Kim may publish in the future.
Co-authors
The 18 scholars most cited alongside Inyeop Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2015 | 63 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 32 | |
| 5 | 2016 | 27 | |
| 6 | 2017 | 15 | |
| 7 | 2022 | 11 | |
| 8 | 2024 | 5 | |
| 9 | 2021 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2018 | 2 | |
| 14 | 2021 | 1 |
About Inyeop Kim
Inyeop Kim is a scholar working on Sociology and Political Science, Information Systems and Management, Human-Computer Interaction, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 14 papers that have together received 285 indexed citations. Recurring topics across this work include Impact of Technology on Adolescents (7 papers), Personal Information Management and User Behavior (7 papers), Innovative Human-Technology Interaction (5 papers), Green IT and Sustainability (4 papers), Context-Aware Activity Recognition Systems (3 papers), Usability and User Interface Design (2 papers), Death Anxiety and Social Exclusion (1 paper) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Applied Psychology (64 citations), Human-Computer Interaction (55 citations), Information Systems and Management (58 citations), Sociology and Political Science (149 citations) and Experimental and Cognitive Psychology (39 citations). Inyeop Kim has collaborated with scholars based in South Korea, Canada and Spain. Frequent co-authors include Uichin Lee, Meeyoung Cha, Sungkyu Park, Jaehyun Yoo, Sang Won Lee, Bumseok Jeong, Minsam Ko, Paul H. Lee, Uichin Lee and Gloria Mark. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Computers & Education, Computers in Human Behavior and Proceedings of the ACM on Human-Computer Interaction.
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.