Myung Ko

1.1k total citations
25 papers, 719 citations indexed

About

Myung Ko is a scholar working on Information Systems, Management Information Systems and Sociology and Political Science. According to data from OpenAlex, Myung Ko has authored 25 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 8 papers in Management Information Systems and 7 papers in Sociology and Political Science. Recurrent topics in Myung Ko's work include Information and Cyber Security (7 papers), Big Data and Business Intelligence (6 papers) and Intellectual Capital and Performance Analysis (4 papers). Myung Ko is often cited by papers focused on Information and Cyber Security (7 papers), Big Data and Business Intelligence (6 papers) and Intellectual Capital and Performance Analysis (4 papers). Myung Ko collaborates with scholars based in United States. Myung Ko's co-authors include Kweku-Muata Osei-Bryson, Darrell Carpenter, Emmanuel Ayaburi, Kim‐Kwang Raymond Choo, John E. Warren, Humayun Zafar, Yong Seog Kim, Daijin Ko, Jan Guynes Clark and Michele Maasberg and has published in prestigious journals such as Computers in Human Behavior, Information & Management and Journal of the Association for Information Systems.

In The Last Decade

Myung Ko

25 papers receiving 659 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Myung Ko United States 13 287 178 172 117 113 25 719
Andrew Urbaczewski United States 14 252 0.9× 168 0.9× 181 1.1× 78 0.7× 113 1.0× 46 684
Jens Mattke Germany 14 318 1.1× 123 0.7× 159 0.9× 92 0.8× 101 0.9× 30 709
Mohammad I. Merhi United States 13 214 0.7× 169 0.9× 135 0.8× 159 1.4× 114 1.0× 41 714
Sandy Green United States 6 164 0.6× 272 1.5× 294 1.7× 149 1.3× 152 1.3× 16 961
Carol Hsu China 16 251 0.9× 127 0.7× 345 2.0× 141 1.2× 156 1.4× 62 883
Suranjan Chakraborty United States 13 192 0.7× 176 1.0× 304 1.8× 198 1.7× 163 1.4× 41 842
Intan Salwani Mohamed Malaysia 13 217 0.8× 298 1.7× 83 0.5× 132 1.1× 81 0.7× 58 683
Saji K. Mathew India 12 220 0.8× 139 0.8× 151 0.9× 253 2.2× 121 1.1× 53 668
Pierangelo Rosati Ireland 18 220 0.8× 106 0.6× 352 2.0× 110 0.9× 91 0.8× 53 864
Jonathan P. Allen United States 14 347 1.2× 153 0.9× 149 0.9× 101 0.9× 162 1.4× 45 800

Countries citing papers authored by Myung Ko

Since Specialization
Citations

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

Fields of papers citing papers by Myung Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Myung Ko. 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 Myung Ko. The network helps show where Myung Ko may publish in the future.

Co-authorship network of co-authors of Myung Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Myung Ko. A scholar is included among the top collaborators of Myung Ko 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 Myung Ko. Myung Ko 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.
Bhatt, Smriti, et al.. (2020). Poster. 223–225. 1 indexed citations
2.
Maasberg, Michele, et al.. (2020). An Analysis of Motive and Observable Behavioral Indicators Associated With Insider Cyber-Sabotage and Other Attacks. IEEE Engineering Management Review. 48(2). 151–165. 8 indexed citations
3.
Ayaburi, Emmanuel, et al.. (2018). A Conceptual Model to Understand Privacy Concerns in a Social P2P Payment App.. Journal of the Association for Information Systems. 1 indexed citations
4.
Maasberg, Michele, Myung Ko, & Nicole Beebe. (2016). Exploring a Systematic Approach to Malware Threat Assessment. 38. 5517–5526. 7 indexed citations
5.
Ko, Myung, et al.. (2015). Development of a scale to measure skepticism toward electronic word-of-mouth. Computers in Human Behavior. 56. 198–208. 53 indexed citations
6.
Carpenter, Darrell, et al.. (2013). Online astroturfing: A theoretical perspective. International Journal of Radiation Biology and Related Studies in Physics Chemistry and Medicine. 41(3). 283–94. 30 indexed citations
7.
Ko, Myung, et al.. (2013). Toward Systematic Identification of Stakeholders for Healthcare Information Systems: A Feature-Based Method. 3 indexed citations
8.
Zafar, Humayun, Myung Ko, & Kweku-Muata Osei-Bryson. (2012). Financial Impact of Information Security Breaches on Breached Firms and their Non-Breached Competitors. Information Resources Management Journal. 25(1). 21–37. 24 indexed citations
9.
Zafar, Humayun, Myung Ko, & Kweku-Muata Osei-Bryson. (2011). Does a CIO Matter? Investigating the Impact of IT Security Breaches on Firm Performance Using Tobin's q. 10. 1–7. 2 indexed citations
10.
Ko, Myung, Jan Guynes Clark, & Daijin Ko. (2011). INVESTIGATING THE IMPACT OF 'GREEN' INFORMATION TECHNOLOGY INNOVATORS ON FIRM PERFORMANCE. 11 indexed citations
11.
Ko, Myung & Narcyz Roztocki. (2009). Investigating the Impact of Firm Strategy - Click-and-Brick, Brick-and-Mortar, and Pure- Click - on Financial Performance. RePEc: Research Papers in Economics. 10(2). 2. 5 indexed citations
12.
Ko, Myung. (2008). The Emerging Markets Century: How a New Breed of World-Class Companies is Overtaking the World. Journal of Global Information Technology Management. 11(4). 81–83. 38 indexed citations
13.
Ko, Myung & Kweku-Muata Osei-Bryson. (2008). Reexamining the impact of information technology investment on productivity using regression tree and multivariate adaptive regression splines (MARS). Information Technology and Management. 9(4). 285–299. 17 indexed citations
14.
Ko, Myung, Jan Guynes Clark, & Daijin Ko. (2008). Revisiting the Impact of Information Technology Investments on Productivity. Information Resources Management Journal. 21(3). 1–23. 8 indexed citations
15.
Ko, Myung, et al.. (2006). Analyzing the impact of information technology investments using regression and data mining techniques. Journal of Enterprise Information Management. 19(4). 403–417. 23 indexed citations
16.
Ko, Myung, et al.. (2006). THE IM P ACT OF INFORM A TION SECURITY BREACHES ON FINANCIAL PERFORMANCE OF THE BREACHED FIRMS: AN EMPIRICAL INVESTIG A TION. 42 indexed citations
17.
Osei-Bryson, Kweku-Muata & Myung Ko. (2004). Applying Data Mining Techniques to Understand the Impact of Information Technology on Organizational Productivity. Journal of the Association for Information Systems. 101. 2 indexed citations
18.
Ko, Myung, et al.. (2003). The productivity impact of information technology in the healthcare industry: an empirical study using a regression spline-based approach. Information and Software Technology. 46(1). 65–73. 9 indexed citations
19.
Osei-Bryson, Kweku-Muata & Myung Ko. (2003). Exploring the relationship between information technology investments and firm performance using regression splines analysis. Information & Management. 42(1). 1–13. 86 indexed citations
20.
Ko, Myung, et al.. (2002). A Regression Tree Based Exploration of the Impact of Information Technology Investments on Firm Level Productivity. Journal of the Association for Information Systems. 506–517. 6 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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