Seungbae Kim
Impact in
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- Digital Mental Health Interventions
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- Emotion and Mood Recognition
Papers in
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- Caching and Content Delivery 7
- Peer-to-Peer Network Technologies 5
- Advanced Data Storage Technologies 2
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- Sentiment Analysis and Opinion Mining 6
- Co-authors
- Jinyoung Han (11 shared papers)Jeewoo Yoon (1 shared paper)Jyun‐Yu Jiang (4 shared papers)Wei Wang (2 shared papers)T. J. Kim (4 shared papers)Yanghee Choi (5 shared papers)Ted Taekyoung Kwon (4 shared papers)Mário Gerla (3 shared papers)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (1 paper)Journalism (1 paper)Computer Communications (1 paper)Proceedings of the International AAAI Conference on Web and Social Media (2 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Seungbae Kim
21 papers receiving 142 citations
Peers
Comparison fields: 5 of 38
- Applied Psychology 14
- Experimental and Cognitive Psychology 35
- Communication 15
- Artificial Intelligence 49
- Health Informatics 2
Countries citing papers authored by Seungbae Kim
This map shows the geographic impact of Seungbae 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 Seungbae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seungbae Kim more than expected).
Fields of papers citing papers by Seungbae Kim
This network shows the impact of papers produced by Seungbae 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 Seungbae Kim. The network helps show where Seungbae Kim may publish in the future.
Co-authors
The 20 scholars most cited alongside Seungbae 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2020 | 25 | |
| 3 | 2012 | 11 | |
| 4 | 2021 | 9 | |
| 5 | 2019 | 8 | |
| 6 | 2022 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2011 | 5 | |
| 9 | 2021 | 5 | |
| 10 | Damming the Torrent: Adjusting BitTorrent-like Peer-to-Peer Networks to Mobile and Wireless Environments | 2011 | 5 |
| 11 | 2012 | 3 | |
| 12 | 2018 | 3 | |
| 13 | 2024 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2024 | 2 | |
| 18 | Modeling and Discovering Authentic and Effective Influencers on Social Media via Graph Neural Network Learning | 2021 | 1 |
| 19 | 2024 | 1 | |
| 20 | 2018 | 1 |
About Seungbae Kim
Seungbae Kim is a scholar working on Computer Networks and Communications, Artificial Intelligence, Sociology and Political Science, Communication and Information Systems, having authored 21 papers that have together received 150 indexed citations. Recurring topics across this work include Caching and Content Delivery (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Peer-to-Peer Network Technologies (5 papers), Digital Marketing and Social Media (5 papers), Social Media and Politics (3 papers), Mental Health via Writing (2 papers), Bipolar Disorder and Treatment (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Applied Psychology (14 citations), Experimental and Cognitive Psychology (35 citations), Communication (15 citations), Artificial Intelligence (49 citations) and Health Informatics (2 citations). Seungbae Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Jinyoung Han, Jeewoo Yoon, Jyun‐Yu Jiang, Wei Wang, T. J. Kim, Yanghee Choi, Ted Taekyoung Kwon, Mário Gerla, Taejoong Chung and Yizhou Sun. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Journalism, Computer Communications, Proceedings of the International AAAI Conference on Web and Social Media and arXiv (Cornell University).
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.