Tae Hyup Roh

491 total citations
5 papers, 329 citations indexed

About

Tae Hyup Roh is a scholar working on Information Systems, Marketing and Management Science and Operations Research. According to data from OpenAlex, Tae Hyup Roh has authored 5 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 2 papers in Marketing and 2 papers in Management Science and Operations Research. Recurrent topics in Tae Hyup Roh's work include Recommender Systems and Techniques (2 papers), Expert finding and Q&A systems (2 papers) and Stock Market Forecasting Methods (2 papers). Tae Hyup Roh is often cited by papers focused on Recommender Systems and Techniques (2 papers), Expert finding and Q&A systems (2 papers) and Stock Market Forecasting Methods (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, Journal of the Association for Information Systems and Asia Pacific Journal of Operational Research.

In The Last Decade

Tae Hyup Roh

4 papers receiving 304 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tae Hyup Roh South Korea	4	153	111	94	67	67	5	329
Tiejun Ma United Kingdom	9	206 1.3×	138 1.2×	63 0.7×	99 1.5×	106 1.6×	37	495
Jinghua Tan China	9	173 1.1×	92 0.8×	50 0.5×	63 0.9×	113 1.7×	33	346
Sheikh Mohammad Idrees Norway	10	135 0.9×	49 0.4×	193 2.1×	33 0.5×	111 1.7×	19	462
Thomas Meinl Germany	6	62 0.4×	63 0.6×	225 2.4×	43 0.6×	38 0.6×	11	394
Arash Bahrammirzaee France	3	167 1.1×	89 0.8×	43 0.5×	67 1.0×	140 2.1×	6	394
Daniel M. Reeves United States	16	374 2.4×	220 2.0×	62 0.7×	59 0.9×	127 1.9×	27	614
Huisu Jang South Korea	9	248 1.6×	253 2.3×	332 3.5×	82 1.2×	71 1.1×	16	572
Qiujun Lan China	9	44 0.3×	50 0.5×	110 1.2×	49 0.7×	93 1.4×	37	312
Suraphan Thawornwong United States	5	395 2.6×	194 1.7×	47 0.5×	119 1.8×	129 1.9×	8	545

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Hyup Roh. A scholar is included among the top collaborators of Tae Hyup Roh 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 Tae Hyup Roh. Tae Hyup Roh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Roh, Tae Hyup. (2016). The Sharing Economy: Business Cases of Social Enterprises Using Collaborative Networks. Procedia Computer Science. 91. 502–511. 42 indexed citations

2.

Roh, Tae Hyup. (2006). Forecasting the volatility of stock price index. Expert Systems with Applications. 33(4). 916–922. 170 indexed citations

3.

Oh, Kyong Joo, et al.. (2005). DEVELOPING TIME-BASED CLUSTERING NEURAL NETWORKS TO USE CHANGE-POINT DETECTION: APPLICATION TO FINANCIAL TIME SERIES. Asia Pacific Journal of Operational Research. 22(1). 51–70. 7 indexed citations

4.

Roh, Tae Hyup, Kyong Joo Oh, & Ingoo Han. (2003). A Cluster-indexing CBR Model for Collaborative Filtering Recommendation. Journal of the Association for Information Systems. 11. 1 indexed citations

5.

Roh, Tae Hyup. (2003). The collaborative filtering recommendation based on SOM cluster-indexing CBR. Expert Systems with Applications. 25(3). 413–423. 109 indexed citations

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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