Seung-Taek Park
- Information Systems top 1%
- Artificial Intelligence top 5%
- Management Science and Operations Research top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Topics
- Recommender Systems and Techniques (6 papers)Advanced Bandit Algorithms Research (4 papers)Web Data Mining and Analysis (3 papers)
- Journals
- ACM Transactions on Information SystemsThe Korea Journal of Herbology
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Seung-Taek Park
10 papers receiving 659 citations
Peers
Comparison fields: 5 of 54
- Information Systems 584
- Artificial Intelligence 298
- Management Science and Operations Research 233
- Computer Vision and Pattern Recognition 157
- Computer Networks and Communications 128
Countries citing papers authored by Seung-Taek Park
This map shows the geographic impact of Seung-Taek Park'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 Seung-Taek Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seung-Taek Park more than expected).
Fields of papers citing papers by Seung-Taek Park
This network shows the impact of papers produced by Seung-Taek Park. 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 Seung-Taek Park. The network helps show where Seung-Taek Park may publish in the future.
Co-authorship network of co-authors of Seung-Taek Park
This figure shows the co-authorship network connecting the top 25 collaborators of Seung-Taek Park. A scholar is included among the top collaborators of Seung-Taek Park 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 Seung-Taek Park. Seung-Taek Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Joint Link-Attribute User Identity Resolution in Online Social Networks | 73 |
| 2 | 60 | |
| 3 | 32 | |
| 4 | 134 | |
| 5 | 207 | |
| 6 | 55 | |
| 7 | 109 | |
| 8 | 23 | |
| 9 | Effect of Sophorae Radix on Methylmercury-Induced Myotoxicity in Cultured Myocardial Cells | 1 |
| 10 | 13 |
About Seung-Taek Park
Seung-Taek Park is a scholar working on Management Science and Operations Research, Information Systems and Marketing, having authored 10 papers that have together received 707 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Advanced Bandit Algorithms Research (4 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Information Systems (584 citations), Management Science and Operations Research (233 citations) and Artificial Intelligence (298 citations). Seung-Taek Park has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Wei Chu, David M. Pennock, Omid Madani, Nathan Good, Dennis DeCoste, Min Song, Hwanjo Yu, Sun Park, Jinoh Oh and C. Lee Giles. Their work appears in journals such as ACM Transactions on Information Systems and The Korea Journal of Herbology.
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.