YoungOk Kwon
- Information Systems top 1%
- Recommender Systems and Techniques 5
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- Advanced Bandit Algorithms Research 5
- Computational Mathematics top 10%
- Marketing top 5%
- Consumer Market Behavior and Pricing 3
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- Financial Markets and Investment Strategies 3
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- Complex Systems and Time Series Analysis 2
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- Social Media and Politics 1
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- Clinical practice guidelines implementation 1
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- Photonic and Optical Devices 1
- Co-authors
- Gediminas AdomavičiusYoung Bong ChangK.S. ChamplinV.M. HietalaWooje ChoBeom Seok KimByung Cho KimAshish Gupta
- Journals
- Journal of Business Research (2 papers)Journal of the Association for Information Systems (1 paper)Computers in Human Behavior (1 paper)
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
YoungOk Kwon
9 papers receiving 884 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Information Systems 777
- Management Science and Operations Research 265
- Computational Mathematics 12
- Marketing 144
- Computer Vision and Pattern Recognition 244
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-authorship network
The 12 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 | 2023 | 1 | |
| 2 | 2019 | 22 | |
| 3 | 2018 | 1 | |
| 4 | 2017 | 0 | |
| 5 | 2016 | 0 | |
| 6 | 2015 | 0 | |
| 7 | An Analytics Approach to Managing Provider Treatment Variety to Improve Patient Outcomes for a Type-2 Diabetes Clinic | 2014 | 1 |
| 8 | 2014 | 51 | |
| 9 | Improving Aggregate Recommendation Diversity Using Ranking-Based Techniquesbreakdown → | 2011 | 460 |
| 10 | 2008 | 15 | |
| 11 | Towards more confident recommendations: Improving recommender systems using filtering approach based on rating variance | 2007 | 23 |
| 12 | 2007 | 347 | |
| 13 | 1986 | 12 |
About YoungOk Kwon
YoungOk Kwon is a scholar working on Management Science and Operations Research, Marketing, Finance, Toxicology and Geriatrics and Gerontology, having authored 13 papers that have together received 933 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (5 papers), Advanced Bandit Algorithms Research (5 papers), Financial Markets and Investment Strategies (3 papers), Consumer Market Behavior and Pricing (3 papers), Complex Systems and Time Series Analysis (2 papers), Social Media and Politics (1 paper), Clinical practice guidelines implementation (1 paper) and Photonic and Optical Devices (1 paper). The work is most often cited by research in Information Systems (777 citations), Management Science and Operations Research (265 citations), Computational Mathematics (12 citations), Marketing (144 citations) and Computer Vision and Pattern Recognition (244 citations). YoungOk Kwon has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Gediminas Adomavičius, Young Bong Chang, K.S. Champlin, V.M. Hietala, Wooje Cho, Beom Seok Kim, Byung Cho Kim, Ashish Gupta, Hyeokkoo Eric Kwon and Sug Kyun Shin. Their work appears in journals such as Journal of Business Research, Journal of the Association for Information Systems, Computers in Human Behavior, Electronics Letters and IEEE Intelligent Systems.
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.