Tae Hyup Roh
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- Stock Market Forecasting Methods 2
- Finance top 10%
- Marketing top 10%
- Sharing Economy and Platforms 1
- Customer churn and segmentation 1
- Information Systems top 10%
- Recommender Systems and Techniques 2
- Expert finding and Q&A systems 2
- Economics and Econometrics top 10%
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- Energy Load and Power Forecasting 1
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- Digital Economy and Work Transformation 1
- Digital Marketing and Social Media 1
- Co-authors
- Kyong Joo OhIngoo Han
- Journals
- Expert Systems with Applications (2 papers)Journal of the Association for Information Systems (1 paper)Asia Pacific Journal of Operational Research (1 paper)
- Partner nations
- South Korea
In The Last Decade
Tae Hyup Roh
4 papers receiving 304 citations
Peers
Comparison fields: 5 of 57
- Management Science and Operations Research 153
- Finance 67
- Marketing 51
- Information Systems 94
- Economics and Econometrics 111
Countries citing papers authored by Tae Hyup Roh
This map shows the geographic impact of Tae Hyup Roh'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 Tae Hyup Roh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae Hyup Roh more than expected).
Fields of papers citing papers by Tae Hyup Roh
This network shows the impact of papers produced by Tae Hyup Roh. 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 Tae Hyup Roh. The network helps show where Tae Hyup Roh may publish in the future.
Co-authorship network
The 2 scholars most cited alongside Tae Hyup Roh, 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 | 2016 | 42 | |
| 2 | 2006 | 170 | |
| 3 | 2005 | 7 | |
| 4 | A Cluster-indexing CBR Model for Collaborative Filtering Recommendation | 2003 | 1 |
| 5 | 2003 | 109 |
About Tae Hyup Roh
Tae Hyup Roh is a scholar working on Marketing, Management Science and Operations Research and Finance, having authored 5 papers that have together received 329 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Expert finding and Q&A systems (2 papers), Stock Market Forecasting Methods (2 papers), Energy Load and Power Forecasting (1 paper), Sharing Economy and Platforms (1 paper), Digital Economy and Work Transformation (1 paper), Digital Marketing and Social Media (1 paper) and Customer churn and segmentation (1 paper). The work is most often cited by research in Management Science and Operations Research (153 citations), Finance (67 citations) and Marketing (51 citations). Tae Hyup Roh has collaborated with scholars based in South Korea. Frequent co-authors include Kyong Joo Oh and Ingoo Han. Their work appears in journals such as Expert Systems with Applications, Journal of the Association for Information Systems, Asia Pacific Journal of Operational Research and Procedia Computer Science.
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.