Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
What type of content are smartphone users addicted to?: SNS vs. games
2015371 citationsSe‐Hoon Jeong, Hyoung-Jee Kim et al.Computers in Human Behaviorprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Hyoung-Jee Kim
Since
Specialization
Citations
This map shows the geographic impact of Hyoung-Jee 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 Hyoung-Jee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoung-Jee Kim more than expected).
This network shows the impact of papers produced by Hyoung-Jee 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 Hyoung-Jee Kim. The network helps show where Hyoung-Jee Kim may publish in the future.
Co-authorship network of co-authors of Hyoung-Jee Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Hyoung-Jee Kim.
A scholar is included among the top collaborators of Hyoung-Jee 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 Hyoung-Jee Kim. Hyoung-Jee Kim is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Hyoung-Jee, et al.. (2016). An Empirical Study of People’s Perceptions and Attitudes Toward Personal Information Disclosure Online: Focusing on ‘Psychological Reactance’ in the Big Data Age. 80(6). 143–166.1 indexed citations
6.
Kim, Hyoung-Jee & Se‐Hoon Jeong. (2015). Factors affecting elementary school students’addiction to smartphones: Parental mediation, school-based education, and psychological reactance. 32(1). 87–120.7 indexed citations
7.
Jeong, Se‐Hoon, Hyoung-Jee Kim, Jung-Yoon Yum, & Yoori Hwang. (2015). What type of content are smartphone users addicted to?: SNS vs. games. Computers in Human Behavior. 54. 10–17.371 indexed citations breakdown →
8.
Kim, Hyoung-Jee, et al.. (2014). The effects of smartphone use on interpersonal relationship and happiness. 31(1). 199–239.3 indexed citations
Kim, Hyoung-Jee, Junghwan Kim, & Se‐Hoon Jeong. (2013). Effect of Smartphone Use on Traditional Media Uses: Application of Media Substitution Hypothesis. 11(1). 88–119.3 indexed citations
11.
Kim, Hyoung-Jee, et al.. (2012). A Study of Innovation Resistance among Social Media Non-Users. Korean Journal of Journalism & Communication Studies. 56(4). 439–464.2 indexed citations
12.
Kim, Hyoung-Jee, Junghwan Kim, & Se‐Hoon Jeong. (2012). Predictors of Smartphone Addiction and Behavioral Patterns. 29(4). 55–93.8 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.