This map shows the geographic impact of Gee‐Woo Bock'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 Gee‐Woo Bock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gee‐Woo Bock more than expected).
This network shows the impact of papers produced by Gee‐Woo Bock. 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 Gee‐Woo Bock. The network helps show where Gee‐Woo Bock may publish in the future.
Co-authorship network of co-authors of Gee‐Woo Bock
This figure shows the co-authorship network connecting the top 25 collaborators of Gee‐Woo Bock.
A scholar is included among the top collaborators of Gee‐Woo Bock 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 Gee‐Woo Bock. Gee‐Woo Bock is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bock, Gee‐Woo, et al.. (2019). Predicting Ethereum Prices using Machine Learning and Block Chain Information. Journal of the Association for Information Systems.2 indexed citations
7.
Bock, Gee‐Woo, et al.. (2018). The Role of Attention and Neutralization in Posting Malicious Comments Online. Journal of the Association for Information Systems.1 indexed citations
8.
Bock, Gee‐Woo, et al.. (2014). The impact of social power on transactive memory systems and knowledge utilization. Journal of the Association for Information Systems. 153.1 indexed citations
9.
Bock, Gee‐Woo, et al.. (2012). Effectiveness of Asynchronous Learning Networks in Teaching as a Supplement to Classroom Teaching: A Study from Perspective of Lecturers in National University of Singapore. Asia Pacific Journal of Information Systems. 22(1). 1–27.3 indexed citations
10.
Kim, Jonghyun & Gee‐Woo Bock. (2011). A Study On The Factors Affecting The Behavior Of Spreading Online Rumors: Focusing On The Rumor Recipient's Emotions. Journal of the Association for Information Systems. 98.14 indexed citations
Bock, Gee‐Woo, et al.. (2008). The Type of Information Overload Affects Electronic Knowledge Repository continuance.. Journal of the Association for Information Systems. 131.1 indexed citations
Chun, Zhang & Gee‐Woo Bock. (2006). Why Employees Do Non-Work-Related Computing: An Investigation of Factors Affecting NWRC in a Workplace. Journal of the Association for Information Systems. 79.9 indexed citations
15.
Bock, Gee‐Woo, et al.. (2005). An Empirical Investigation of the Effects of Size on Strength of Relationship and Commitment in a Virtual Community. Journal of the Association for Information Systems. 552–559.3 indexed citations
16.
Sharma, Sanjeev & Gee‐Woo Bock. (2005). Factor's Influencing Individual's Knowledge Seeking Behaviour in Electronic Knowledge Repository.. National University of Singapore. 390–403.13 indexed citations
17.
Bock, Gee‐Woo, et al.. (2005). The Collective Reality of Trust: An Investigation of Social Relations and Networks on Trust in Multi-Channel Retailers. Journal of the Association for Information Systems. 222–229.5 indexed citations
18.
Bock, Gee‐Woo, et al.. (2005). An Exploratory Study of Before-Interaction Trust Transference in Multichannel Retailers. Journal of the Association for Information Systems.2 indexed citations
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
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.