Juran Kim

2.2k citations
40 papers · 1.6k indexed · h-index 22
Topics
Digital Marketing and Social Media (27 papers)Consumer Behavior in Brand Consumption and Identification (25 papers)Technology Adoption and User Behaviour (10 papers)

In The Last Decade

Juran Kim

37 papers receiving 1.5k citations

Peers

Juran Kim
Comparison fields: 5 of 91
  • Sociology and Political Science 1.1k
  • Marketing 870
  • Information Systems and Management 371
  • Organizational Behavior and Human Resource Management 220
  • Literature and Literary Theory 182
Replace Juha Munnukka with:
Juha Munnukka Finland
Yuping Liu–Thompkins United States
Gayle Kerr Australia
María Sicilia Piñero Spain
Heejin Lim United States
Ainsworth Anthony Bailey United States
Kunal Swani United States
Laurence Dessart Belgium
Wondwesen Tafesse United Arab Emirates
Fred Bronner Netherlands
Juran Kim relative to Juha Munnukka Finland Juha Munnukka's profile →
Citations per field
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Juha Munnukka · 1×
Citations per year

Countries citing papers authored by Juran Kim

Since Specialization
Citations

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

Fields of papers citing papers by Juran Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juran Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Juran Kim. A scholar is included among the top collaborators of Juran 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 Juran Kim. Juran 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
#WorkIndexed citations
1 1
2 0
3
Electronic word of mouth as a promotional technique : new insights from social media
2
4 24
5 112
6 1
7 82
8 116
9 24
10 110
11 56
12 24
13 3
14 1
15 73
16 4
17 205
18
Toward Developing Conceptual Foundations of Internet Brand Community
4
19
Developing an Integrated Model of Interactivity in the Context of Travel-Related Web Sites
1
20 26

About Juran Kim

Juran Kim is a scholar working on Marketing, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (27 papers), Consumer Behavior in Brand Consumption and Identification (25 papers) and Technology Adoption and User Behaviour (10 papers). The work is most often cited by research in Marketing (870 citations), Information Systems and Management (371 citations) and Sociology and Political Science (1.1k citations). Juran Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Sally J. McMillan, Ki‐Hoon Lee, Seungmook Kang, Shu‐Chuan Chu, Sang Jin Kim, Joonheui Bae, Kyung Hoon Kim, Hyojin Kim, Eunju Ko and Nathalie Spielmann. Their work appears in journals such as Journal of Business Research, Journal of Advertising and Sex Roles.

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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