Tae Hyup Roh

5 papers and 273 indexed citations i.

About

Tae Hyup Roh is a scholar working on Management Science and Operations Research, Information Systems and Marketing. According to data from OpenAlex, Tae Hyup Roh has authored 5 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Management Science and Operations Research, 2 papers in Information Systems and 2 papers in Marketing. Recurrent topics in Tae Hyup Roh’s work include Recommender Systems and Techniques (2 papers), Stock Market Forecasting Methods (2 papers) and Expert finding and Q&A systems (2 papers). Tae Hyup Roh is often cited by papers focused on Recommender Systems and Techniques (2 papers), Stock Market Forecasting Methods (2 papers) and Expert finding and Q&A systems (2 papers). Tae Hyup Roh collaborates with scholars based in South Korea. Tae Hyup Roh's co-authors include Kyong Joo Oh and Ingoo Han and has published in prestigious journals such as Expert Systems with Applications, Asia Pacific Journal of Operational Research and Procedia Computer Science.

In The Last Decade

Co-authorship network of co-authors of Tae Hyup Roh i

Fields of papers citing papers by Tae Hyup Roh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tae Hyup Roh

Since Specialization
Citations

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).

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.

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2025