YoungOk Kwon
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Computational Mathematics top 5%
Papers in
-
- Advanced Bandit Algorithms Research 6
- Stock Market Forecasting Methods 1
-
- Recommender Systems and Techniques 7
- Co-authors
- Gediminas Adomavičius (6 shared papers)Nikos Manouselis (1 shared paper)Young Bong Chang (4 shared papers)K.S. Champlin (1 shared paper)V.M. Hietala (1 shared paper)Wooje Cho (2 shared papers)Beom Seok Kim (1 shared paper)Ashish Gupta (1 shared paper)
- Journals
- Journal of Business Research (2 papers)IEEE Intelligent Systems (1 paper)Computers in Human Behavior (1 paper)INFORMS journal on computing (1 paper)IEEE Transactions on Knowledge and Data Engineering (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
YoungOk Kwon
12 papers receiving 1.3k citations
YoungOk Kwon's Hit Papers
Peers
Comparison fields: 5 of 64
- Information Systems 1.1k
- Computational Mathematics 19
- Management Science and Operations Research 370
- Marketing 187
- Computer Vision and Pattern Recognition 373
Countries citing papers authored by YoungOk Kwon
This map shows the geographic impact of YoungOk Kwon'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 YoungOk Kwon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites YoungOk Kwon more than expected).
Fields of papers citing papers by YoungOk Kwon
This network shows the impact of papers produced by YoungOk Kwon. 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 YoungOk Kwon. The network helps show where YoungOk Kwon may publish in the future.
Co-authors
The 13 scholars most cited alongside YoungOk Kwon, 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 | Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques Hit paper breakdown → | 2011 | 524 |
| 2 | New Recommendation Techniques for Multicriteria Rating Systems Hit paper breakdown → | 2007 | 406 |
| 3 | 2015 | 144 | |
| 4 | 2010 | 140 | |
| 5 | 2014 | 56 | |
| 6 | Towards more confident recommendations: Improving recommender systems using filtering approach based on rating variance | 2007 | 25 |
| 7 | 2019 | 23 | |
| 8 | 2008 | 18 | |
| 9 | 1986 | 12 | |
| 10 | 2023 | 1 | |
| 11 | 2017 | 1 | |
| 12 | An Analytics Approach to Managing Provider Treatment Variety to Improve Patient Outcomes for a Type-2 Diabetes Clinic | 2014 | 1 |
| 13 | 2018 | 1 | |
| 14 | 2016 | 0 | |
| 15 | 2015 | 0 |
About YoungOk Kwon
YoungOk Kwon is a scholar working on Management Science and Operations Research, Information Systems, Marketing, Finance and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (7 papers), Advanced Bandit Algorithms Research (6 papers), Financial Markets and Investment Strategies (3 papers), Consumer Market Behavior and Pricing (3 papers), Complex Systems and Time Series Analysis (2 papers), Health Policy Implementation Science (1 paper), Clinical practice guidelines implementation (1 paper) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Information Systems (1.1k citations), Computational Mathematics (19 citations), Management Science and Operations Research (370 citations), Marketing (187 citations) and Computer Vision and Pattern Recognition (373 citations). YoungOk Kwon has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Gediminas Adomavičius, Nikos Manouselis, Young Bong Chang, K.S. Champlin, V.M. Hietala, Wooje Cho, Beom Seok Kim, Ashish Gupta, Byung Cho Kim and Hyeokkoo Eric Kwon. Their work appears in journals such as Journal of Business Research, IEEE Intelligent Systems, Computers in Human Behavior, INFORMS journal on computing and IEEE Transactions on Knowledge and Data Engineering.
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.