Auk Kim
Impact in
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- Emotion and Mood Recognition
- Mental Health Research Topics
- Applied Psychology top 10%
- Digital Mental Health Interventions
Papers in
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- Human-Automation Interaction and Safety 5
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- Personal Information Management and User Behavior 8
- Co-authors
- Uichin Lee (18 shared papers)Yong Jeong (2 shared papers)Hyunsoo Lee (2 shared papers)Leontios J. Hadjileontiadis (2 shared papers)Ahsan H. Khandoker (2 shared papers)Jungmi Park (3 shared papers)Alice Oh (1 shared paper)Mun Yong Yi (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (3 papers)Frontiers in Public Health (2 papers)Scientific Data (2 papers)Translational Vision Science & Technology (1 paper)Electronics (1 paper)
- Partner nations
- South KoreaUnited Arab EmiratesCanada
In The Last Decade
Auk Kim
28 papers receiving 461 citations
Peers
Comparison fields: 5 of 70
- Experimental and Cognitive Psychology 161
- Applied Psychology 51
- Human-Computer Interaction 59
- Information Systems and Management 46
- Social Psychology 108
Countries citing papers authored by Auk Kim
This map shows the geographic impact of Auk 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 Auk Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Auk Kim more than expected).
Fields of papers citing papers by Auk Kim
This network shows the impact of papers produced by Auk 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 Auk Kim. The network helps show where Auk Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Auk 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
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 124 | |
| 2 | 2019 | 56 | |
| 3 | 2020 | 54 | |
| 4 | 2020 | 53 | |
| 5 | 2018 | 28 | |
| 6 | 2020 | 26 | |
| 7 | 2023 | 24 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2024 | 13 | |
| 11 | 2021 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2017 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2018 | 3 |
About Auk Kim
Auk Kim is a scholar working on Social Psychology, Information Systems and Management, Experimental and Cognitive Psychology, Sociology and Political Science and Artificial Intelligence, having authored 30 papers that have together received 469 indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (8 papers), Human-Automation Interaction and Safety (5 papers), Digital Mental Health Interventions (5 papers), Mental Health Research Topics (4 papers), Digital Marketing and Social Media (3 papers), Emotion and Mood Recognition (3 papers), Cognitive Functions and Memory (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (161 citations), Applied Psychology (51 citations), Human-Computer Interaction (59 citations), Information Systems and Management (46 citations) and Social Psychology (108 citations). Auk Kim has collaborated with scholars based in South Korea, United Arab Emirates and Canada. Frequent co-authors include Uichin Lee, Yong Jeong, Hyunsoo Lee, Leontios J. Hadjileontiadis, Ahsan H. Khandoker, Jungmi Park, Alice Oh, Mun Yong Yi, Seunghyun Kim and Jae-Gil Lee. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Frontiers in Public Health, Scientific Data, Translational Vision Science & Technology and Electronics.
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.