Soyeon Kwon

470 citations
17 papers · 359 · h-index 9

Impact in

Papers in

    • Social and Intergroup Psychology 2
    • Digital Marketing and Social Media 2
    • Psychology of Social Influence 2
    • Consumer Behavior in Brand Consumption and Identification 4
    • Consumer Retail Behavior Studies 3

Soyeon Kwon

12 papers receiving 346 citations

Peers

Soyeon Kwon
Comparison fields: 5 of 72
  • Marketing 195
  • Organizational Behavior and Human Resource Management 89
  • Information Systems and Management 46
  • Sociology and Political Science 160
  • General Decision Sciences 6
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Citations per year

Countries citing papers authored by Soyeon Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soyeon Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Soyeon Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Soyeon Kwon Line = papers co-authored together Soyeon Kwon links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201276
2 201949
3 201046
4 201746
5 201635
6 201528
7 202228
8 202124
9 202322
10 20142
11 20251
12
TEACHER PERCEPTION ON SMART EDUCATION : BASED ON THE ANALYSIS OF IMPORTANCE AND PERFORMANCE
20141
13 20181
14 20210
15 20130
16
The Effectiveness of Compensation for Service Recovery:Roles of Perceived Equity and Relationship Level
20110
17 20190

About Soyeon Kwon

Soyeon Kwon is a scholar working on Sociology and Political Science, Marketing, Organizational Behavior and Human Resource Management, General Health Professions and Information Systems, having authored 17 papers that have together received 359 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (5 papers), Consumer Behavior in Brand Consumption and Identification (4 papers), Consumer Retail Behavior Studies (3 papers), Social and Intergroup Psychology (2 papers), Digital Marketing and Social Media (2 papers), Health and Wellbeing Research (2 papers), Psychology of Social Influence (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Marketing (195 citations), Organizational Behavior and Human Resource Management (89 citations), Information Systems and Management (46 citations), Sociology and Political Science (160 citations) and General Decision Sciences (6 citations). Soyeon Kwon has collaborated with scholars based in United States and South Korea. Frequent co-authors include SooCheong Jang, Sejin Ha, Albert Park, Jimin Kwon, Geon Ha Kim, Jang‐Hwan Choi, Hyobin Lee, Sung‐Bin Park, Young Mi Park and Mi-Jung Park. Their work appears in journals such as Computers in Human Behavior, International Journal of Hospitality Management, Scientific Reports, British Food Journal and Fashion and Textiles.

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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