Jae Kyeong Kim

3.2k total citations · 1 hit paper
57 papers, 2.1k citations indexed

About

Jae Kyeong Kim is a scholar working on Information Systems, Sociology and Political Science and Marketing. According to data from OpenAlex, Jae Kyeong Kim has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Information Systems, 16 papers in Sociology and Political Science and 13 papers in Marketing. Recurrent topics in Jae Kyeong Kim's work include Recommender Systems and Techniques (21 papers), Digital Marketing and Social Media (16 papers) and Customer churn and segmentation (8 papers). Jae Kyeong Kim is often cited by papers focused on Recommender Systems and Techniques (21 papers), Digital Marketing and Social Media (16 papers) and Customer churn and segmentation (8 papers). Jae Kyeong Kim collaborates with scholars based in South Korea, United States and Israel. Jae Kyeong Kim's co-authors include Hyea Kyeong Kim, Soung Hie Kim, Il Young Choi, Young U. Ryu, Sang Hyun Choi, Hee Seok Song, Jun Xiang, Chang Hee Han, Sang‐Ho Lee and Yoon Ho Cho and has published in prestigious journals such as European Journal of Operational Research, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Jae Kyeong Kim

47 papers receiving 2.0k citations

Hit Papers

A literature review and c... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae Kyeong Kim South Korea 20 1.2k 518 432 422 396 57 2.1k
Duen‐Ren Liu Taiwan 25 1.1k 0.9× 651 1.3× 317 0.7× 237 0.6× 265 0.7× 102 2.3k
J. Ben Schafer United States 8 1.9k 1.6× 787 1.5× 411 1.0× 513 1.2× 353 0.9× 26 2.6k
Markus Zanker Austria 24 1.8k 1.5× 1.2k 2.3× 469 1.1× 933 2.2× 407 1.0× 122 3.3k
Balaji Padmanabhan United States 24 734 0.6× 582 1.1× 224 0.5× 240 0.6× 171 0.4× 83 1.7k
Dianshuang Wu Australia 12 1.3k 1.1× 769 1.5× 143 0.3× 239 0.6× 251 0.6× 23 1.7k
David Martens Belgium 27 788 0.7× 1.3k 2.4× 511 1.2× 138 0.3× 317 0.8× 76 2.8k
Abraham Gutiérrez Spain 11 2.0k 1.7× 1.0k 1.9× 181 0.4× 310 0.7× 374 0.9× 41 2.5k
Neel Sundaresan United States 23 963 0.8× 826 1.6× 384 0.9× 298 0.7× 262 0.7× 75 2.6k
Guoqing Chen China 28 778 0.7× 919 1.8× 199 0.5× 469 1.1× 225 0.6× 156 2.4k
Mingsong Mao China 9 970 0.8× 544 1.1× 149 0.3× 222 0.5× 156 0.4× 19 1.4k

Countries citing papers authored by Jae Kyeong Kim

Since Specialization
Citations

This map shows the geographic impact of Jae Kyeong Kim'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 Jae Kyeong Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jae Kyeong Kim more than expected).

Fields of papers citing papers by Jae Kyeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae Kyeong Kim. 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 Jae Kyeong Kim. The network helps show where Jae Kyeong Kim may publish in the future.

Co-authorship network of co-authors of Jae Kyeong Kim

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

All Works

20 of 20 papers shown
2.
Choi, Il Young, et al.. (2021). A Comparison of Structural Position and Exploitative Innovation Based on a Patent Citation Network of the Top 100 Digital Companies. Asia Pacific Journal of Information Systems. 31(3). 358–377. 1 indexed citations
3.
Kim, Jae Kyeong, et al.. (2018). Analyzing the Effect of Online media on Overseas Travels: A Case study of Asian 5 countries. Journal of Intelligence and Information Systems. 24(1). 53–74.
4.
Kim, Jae Kyeong, et al.. (2017). Analyzing the Effect of Electronic Word of Mouth on Low Involvement Products. 27(3). 139–155. 4 indexed citations
5.
Choi, Il Young, Jae Kyeong Kim, & Young U. Ryu. (2015). A Two-Tiered Recommender System for Tourism Product Recommendations. 19. 3354–3363. 3 indexed citations
6.
Choi, Il Young, et al.. (2015). Strategy for Store Management Using SOM Based on RFM. Journal of Intelligence and Information Systems. 21(2). 93–112.
7.
Choi, Il Young, et al.. (2012). Analyzing the User Intention of Booth Recommender System in Smart Exhibition Environment. Journal of Intelligence and Information Systems. 18(3). 153–169. 1 indexed citations
8.
Kim, Hyea Kyeong, et al.. (2012). A product network analysis for extending the market basket analysis. Expert Systems with Applications. 39(8). 7403–7410. 39 indexed citations
9.
Kim, Hyea Kyeong, et al.. (2011). A Literature Review and Classification of Recommender Systems on Academic Journals. Journal of Intelligence and Information Systems. 17(1). 139–152. 7 indexed citations
10.
Kim, Hyea Kyeong, et al.. (2011). Commenders: A recommendation procedure for online book communities. Electronic Commerce Research and Applications. 10(5). 501–509. 27 indexed citations
11.
Kim, Hyea Kyeong, et al.. (2011). Customer-Driven Content Recommendation Over a Network of Customers. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 42(1). 48–56. 19 indexed citations
12.
Kim, Jae Kyeong, et al.. (2009). A New Item Recommendation Procedure Using Preference Boundary. 273–280. 1 indexed citations
13.
Xiang, Jun, Jae Kyeong Kim, Sang Ho Lee, & Zhen He. (2009). The Impact of IT Investment on Firm Performance in Korean Insurance Industry. 2 indexed citations
14.
Kim, Jae Kyeong, et al.. (2007). Cost-Based Directed Scheduling : Part II, An Inter-Job Cost Propagation Algorithm. Journal of Intelligence and Information Systems. 13(4). 121–135.
15.
Kim, Jae Kyeong, et al.. (2006). A Hybrid Multimedia Contents Recommendation Procedure for a New Item Problem in M-commerce. Journal of Intelligence and Information Systems. 12(2). 1–15. 2 indexed citations
16.
Kim, Jae Kyeong, Yoon Ho Cho, & Seungtae Kim. (2004). MOBICORS-Movie: A MOBIle COntents Recommender System for Movie. Journal of the Association for Information Systems. 150(13). 789–794. 1 indexed citations
17.
Kim, Jae Kyeong, et al.. (2003). Application of Web usage mining and product taxonomy to collaborative recommendations in e-commerce. Expert Systems with Applications. 26(2). 233–246. 175 indexed citations
18.
Kim, Jae Kyeong, et al.. (2002). A personalized recommendation procedure for Internet shopping support. Electronic Commerce Research and Applications. 1(3-4). 301–313. 91 indexed citations
19.
Kim, Jae Kyeong, Kun Chang Lee, & Jae Kwang Lee. (2002). Hybrid of neural network and decision knowledge approach to generating influence diagrams. Expert Systems with Applications. 23(3). 237–244. 2 indexed citations
20.
Kim, Jae Kyeong, et al.. (2001). Evaluating Efficiency of Life Insurance Companies Utilizing DEA and Machine Learning. Journal of Intelligence and Information Systems. 7(1). 63–78. 2 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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