Young‐Gul Kim

13.1k total citations · 6 hit papers
81 papers, 9.2k citations indexed

About

Young‐Gul Kim is a scholar working on Communication, Information Systems and Management and Management Information Systems. According to data from OpenAlex, Young‐Gul Kim has authored 81 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Communication, 25 papers in Information Systems and Management and 24 papers in Management Information Systems. Recurrent topics in Young‐Gul Kim's work include Knowledge Management and Sharing (26 papers), Technology Adoption and User Behaviour (25 papers) and Digital Marketing and Social Media (14 papers). Young‐Gul Kim is often cited by papers focused on Knowledge Management and Sharing (26 papers), Technology Adoption and User Behaviour (25 papers) and Digital Marketing and Social Media (14 papers). Young‐Gul Kim collaborates with scholars based in South Korea, China and Hong Kong. Young‐Gul Kim's co-authors include Ji-Won Moon, Gee Woo Bock, Joon Koh, Jae-Nam Lee, Yong Sauk Hau, Gee‐Woo Bock, Heeseok Lee, Byoungsoo Kim, Hyung-Su Kim and Brian S. Butler and has published in prestigious journals such as Communications of the ACM, Journal of Business Research and Computers in Human Behavior.

In The Last Decade

Young‐Gul Kim

75 papers receiving 8.0k citations

Hit Papers

Extending the TAM for a World-Wide-Web context 1999 2026 2008 2017 2001 2002 2002 2003 1999 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Gul Kim South Korea 27 4.3k 3.7k 2.7k 1.9k 1.8k 81 9.2k
Hsiu‐Fen Lin Taiwan 34 4.1k 1.0× 3.1k 0.8× 3.0k 1.1× 940 0.5× 2.1k 1.1× 50 8.6k
Elena Karahanna United States 39 7.0k 1.6× 6.3k 1.7× 2.1k 0.8× 1.5k 0.8× 2.1k 1.2× 73 12.4k
Magid Igbaria United States 50 6.6k 1.5× 4.8k 1.3× 2.2k 0.8× 1.6k 0.8× 3.0k 1.7× 100 11.7k
Thompson S.H. Teo Singapore 58 5.8k 1.3× 4.7k 1.3× 1.4k 0.5× 2.6k 1.3× 2.2k 1.2× 198 13.1k
Eric T.G. Wang Taiwan 29 2.5k 0.6× 2.8k 0.7× 2.0k 0.7× 1.7k 0.9× 1.1k 0.6× 66 6.8k
Albert H. Segars United States 27 2.8k 0.6× 2.5k 0.7× 1.9k 0.7× 2.4k 1.2× 1.6k 0.9× 43 9.8k
Norman L. Chervany United States 20 5.0k 1.1× 4.9k 1.3× 1.4k 0.5× 1.4k 0.7× 2.7k 1.5× 46 9.7k
James Y.L. Thong Hong Kong 36 5.9k 1.4× 4.1k 1.1× 991 0.4× 1.6k 0.8× 1.3k 0.7× 87 10.4k
Dale L. Goodhue United States 30 4.6k 1.1× 2.9k 0.8× 1.4k 0.5× 3.0k 1.6× 1.5k 0.8× 58 9.7k
Robert M. Davison Hong Kong 48 2.2k 0.5× 3.1k 0.8× 2.0k 0.8× 1.4k 0.7× 1.0k 0.6× 309 8.0k

Countries citing papers authored by Young‐Gul Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Gul Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Gul 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 Young‐Gul Kim. The network helps show where Young‐Gul Kim may publish in the future.

Co-authorship network of co-authors of Young‐Gul Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Gul Kim. A scholar is included among the top collaborators of Young‐Gul 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 Young‐Gul Kim. Young‐Gul 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
1.
Kim, Young‐Gul, et al.. (2023). Effect of media context on avoidance of skippable pre-roll ads in online video platform: A mental accounting of time perspective. Journal of Business Research. 164. 113966–113966. 7 indexed citations
2.
Song, Jaemin, Sunghan Ryu, & Young‐Gul Kim. (2023). Free to Premium in Mobile TV Service : Intrinsic and Extrinsic Motivational Factors Affecting Free Users’ Paid Subscription Intention. Asia Pacific Journal of Information Systems. 33(2). 318–341. 2 indexed citations
3.
Ryu, Sunghan, Keongtae Kim, & Young‐Gul Kim. (2016). REWARD VERSUS PHILANTHROPY MOTIVATION IN CROWDFUNDING BEHAVIOR. Pacific Asia Conference on Information Systems. 87. 13 indexed citations
4.
Ko, Minsam, et al.. (2015). Qualitative Evaluation of TV Programs Based On SNS Online Reviews. 42–73. 1 indexed citations
5.
Kim, Young‐Gul, et al.. (2006). The Effect of Knowledge Activity on Organizational Performance: Focused on Knowledge Creation Activity and Knowledge Sharing Activity. 7(1). 13–30.
6.
Lee, Jae-Nam & Young‐Gul Kim. (2003). Exploring a Causal Model for the Understanding of Outsourcing Partnership. Hawaii International Conference on System Sciences. 268. 22 indexed citations
7.
Kim, Young‐Gul, et al.. (2002). Factors Affecting Customer Information/Knowledge Quality in Customer Relationship Management : Focused on Service Industry. Korean Management Science Review. 19(2). 1–23.
8.
Bock, Gee‐Woo & Young‐Gul Kim. (2001). Breaking the Myths of Rewards: An Exploratory Study of Attitudes about Knowledge Sharing.. Journal of the Association for Information Systems. 78. 155 indexed citations
9.
Koh, Joon & Young‐Gul Kim. (2001). Sense of Virtual Community: Determinants and the Moderating Role of the Virtual Community Origin. Journal of the Association for Information Systems. 407–410. 13 indexed citations
10.
Kim, Young‐Gul, et al.. (2001). Effects of Managerial Drivers and Climate Maturity on Knowledge Management Performance: Empirical Validation.. Journal of the Association for Information Systems. 77. 20 indexed citations
11.
Kim, Young‐Gul, et al.. (2000). Performance-driven and Process-based Knowledge Strategy Planning Methodology($P^2-KSP$). IE interfaces. 13(1). 29–36. 2 indexed citations
12.
Kwahk, Kee-Young, et al.. (1998). A Contigency Approach for Implementing Enterprise Resource Planning Systems. Korean Management Science Review. 15(2). 19–32. 1 indexed citations
13.
Kim, Young‐Gul. (1995). Process Modeling For BPR: Event-Process Chain Approach. Journal of the Association for Information Systems. 109–121. 15 indexed citations
14.
Kim, Young‐Gul, et al.. (1994). Kinetics and Catalyst Deactivation for Methyl Formate Synthesis by Methanol Carbonylation. Korean Journal of Chemical Engineering. 32(3). 317–317. 1 indexed citations
15.
Kim, Young‐Gul, et al.. (1992). Changes in ${\gamma}-Aminobutyric$ Acid(GABA) and the Main Constituents by a Treatment Conditions and of Anaerobically Treated Green Tea Leaves. Korean Journal of Food Science and Technology. 24(4). 315–319. 21 indexed citations
16.
Lee, Kyung‐Hee, et al.. (1992). A Study on the tert-butylation of Hydroquinones. Korean Journal of Chemical Engineering. 30(1). 18–18. 1 indexed citations
17.
Kim, Young‐Gul, et al.. (1990). Effects of conceptual data modeling formalisms on user validation and analyst modeling of information requirements. 7 indexed citations
18.
Nam, In‐Sik, et al.. (1990). NO Reduction by $NH_3$ on Natural Zeolite Containing Cupric Ions. Korean Journal of Chemical Engineering. 28(1). 104–104. 2 indexed citations
19.
Kim, Young‐Gul, et al.. (1989). Hydrogenolysis of Methyl Formate to Methanol. Korean Journal of Chemical Engineering. 27(4). 396–396. 1 indexed citations
20.
Kim, Young‐Gul, et al.. (1980). A Study on Dehydrogenation of Propane. Korean Journal of Chemical Engineering. 18(1). 11–11. 5 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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