Joongmin Choi
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Computer Networks and Communications
- Topics
- Web Data Mining and Analysis (18 papers)Recommender Systems and Techniques (9 papers)Caching and Content Delivery (6 papers)
- Journals
- ScientometricsIEEE Transactions on Consumer ElectronicsJournal of Computer Science and Technology
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Joongmin Choi
26 papers receiving 273 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 177
- Information Systems 142
- Computer Vision and Pattern Recognition 85
- Management Science and Operations Research 60
- Computer Networks and Communications 51
Countries citing papers authored by Joongmin Choi
This map shows the geographic impact of Joongmin Choi'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 Joongmin Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joongmin Choi more than expected).
Fields of papers citing papers by Joongmin Choi
This network shows the impact of papers produced by Joongmin Choi. 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 Joongmin Choi. The network helps show where Joongmin Choi may publish in the future.
Co-authorship network of co-authors of Joongmin Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Joongmin Choi. A scholar is included among the top collaborators of Joongmin Choi 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 Joongmin Choi. Joongmin Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 55 | |
| 4 | 21 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | Topic-Specific Mobile Web Contents Adaptation | 1 |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 9 | |
| 16 | 10 | |
| 17 | 9 | |
| 18 | A Customized Comparison-Shopping Agent | 1 |
| 19 | 19 | |
| 20 | Experience-based learning in deductive reasoning systems | 3 |
About Joongmin Choi
Joongmin Choi is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence, having authored 30 papers that have together received 312 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (18 papers), Recommender Systems and Techniques (9 papers) and Caching and Content Delivery (6 papers). The work is most often cited by research in Information Systems (142 citations), Artificial Intelligence (177 citations) and Management Science and Operations Research (60 citations). Joongmin Choi has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Jaeyoung Yang, Tae‐Hwan Kim, Dongwook Shin, Jungsun Kim and Tae-Hwan Kim. Their work appears in journals such as Scientometrics, IEEE Transactions on Consumer Electronics and Journal of Computer Science and Technology.
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.