Kim Hahn

605 total citations
31 papers, 418 citations indexed

About

Kim Hahn is a scholar working on Marketing, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, Kim Hahn has authored 31 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Marketing, 12 papers in Sociology and Political Science and 6 papers in Information Systems and Management. Recurrent topics in Kim Hahn's work include Consumer Behavior in Brand Consumption and Identification (11 papers), Digital Marketing and Social Media (10 papers) and Consumer Retail Behavior Studies (9 papers). Kim Hahn is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (11 papers), Digital Marketing and Social Media (10 papers) and Consumer Retail Behavior Studies (9 papers). Kim Hahn collaborates with scholars based in United States, South Korea and United Kingdom. Kim Hahn's co-authors include Jihyun Kim, Jewon Lyu, Huiju Park, Amrut Sadachar, Gargi Bhaduri, Rita C. Kean, Yoon Jin, Eunjung Lee, Ann Futterman Collier and Chanjuan Chen and has published in prestigious journals such as Computers in Human Behavior, International Journal of Retail & Distribution Management and Journal of Fashion Marketing and Management.

In The Last Decade

Kim Hahn

27 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Hahn United States 9 246 211 129 109 45 31 418
Eunjoo Cho United States 12 338 1.4× 252 1.2× 82 0.6× 105 1.0× 11 0.2× 29 505
Heeju Chae South Korea 10 422 1.7× 286 1.4× 106 0.8× 121 1.1× 22 0.5× 25 555
Namhee Yoon South Korea 8 276 1.1× 129 0.6× 43 0.3× 88 0.8× 27 0.6× 34 365
Delia Vazquez United Kingdom 9 203 0.8× 160 0.8× 89 0.7× 40 0.4× 14 0.3× 14 357
Sanga Song United States 9 211 0.9× 151 0.7× 73 0.6× 40 0.4× 15 0.3× 18 315
Song‐yi Youn United States 8 179 0.7× 118 0.6× 69 0.5× 37 0.3× 16 0.4× 27 264
Luisa M. Martinez Portugal 6 195 0.8× 126 0.6× 46 0.4× 34 0.3× 15 0.3× 15 295
Mijeong Noh United States 9 169 0.7× 105 0.5× 50 0.4× 29 0.3× 26 0.6× 20 265
Hyun Hee Park South Korea 9 286 1.2× 135 0.6× 72 0.6× 66 0.6× 7 0.2× 59 374
Karinna Nobbs United Kingdom 7 280 1.1× 120 0.6× 19 0.1× 106 1.0× 39 0.9× 12 363

Countries citing papers authored by Kim Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Kim Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Hahn

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Hahn. A scholar is included among the top collaborators of Kim Hahn 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 Kim Hahn. Kim Hahn 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
2.
Hahn, Kim, et al.. (2023). Understanding the LPGA Tour Top Six Korean Golfers’ Self-Presentation on Social Media: A Content Analysis of Instagram Posts. International Journal of Sport Communication. 1–10. 6 indexed citations
3.
Lyu, Jewon, et al.. (2022). Potential determinants of consumers' intention to purchase 3D printed fashion products. International Journal of Retail & Distribution Management. 51(8). 1027–1044. 8 indexed citations
4.
Jin, Yoon & Kim Hahn. (2022). Cross-Cultural study of decision-making styles for contemporary young consumers. International Journal of Fashion Design Technology and Education. 16(1). 22–36. 3 indexed citations
5.
Hahn, Kim. (2020). In Pursuit of Design Vision Through Design Practice. Clothing and Textiles Research Journal. 39(1). 55–70. 2 indexed citations
6.
Hahn, Kim, et al.. (2020). American Consumer Perceptions of Sustainable Fashion, Fast Fashion, and Mass Fashion Practices. 16(1). 15–27. 5 indexed citations
7.
Chen, Chanjuan, et al.. (2018). Conference giveaway items, useful or wasteful?. Iowa State University Digital Repository (Iowa State University). 1 indexed citations
8.
Hahn, Kim, et al.. (2017). A case study: Fashion design and merchandising college core curriculum assessment to improve future learning. 10(1). 30. 2 indexed citations
9.
Kim, Jihyun & Kim Hahn. (2015). The effects of self-monitoring tendency on young adult consumers’ mobile dependency. Computers in Human Behavior. 50. 169–176. 28 indexed citations
10.
Hahn, Kim, et al.. (2015). Tone in Text and the Effect on Trust and Choice Confidence in Online Fashion Shopping. Journal of the Korean Society of Clothing and Textiles. 39(5). 703–713. 1 indexed citations
11.
Lee, Eunjung & Kim Hahn. (2015). Tone of Writing on Fashion Retail Websites, Social Support, e-Shopping Satisfaction, and Category Knowledge. Clothing and Textiles Research Journal. 33(2). 143–159. 5 indexed citations
12.
Park, Huiju & Kim Hahn. (2014). Perception of firefighters’ turnout ensemble and level of satisfaction by body movement. International Journal of Fashion Design Technology and Education. 7(2). 85–95. 18 indexed citations
13.
Hahn, Kim & Jihyun Kim. (2013). Salient antecedents of mobile shopping intentions: Media dependency, fashion/brand interest and peer influence. Journal of Global Fashion Marketing. 4(4). 225–246. 23 indexed citations
14.
Jin, Yoon, Kim Hahn, & Hyun‐Hwa Lee. (2012). Effect of Individual Differences on Online Review Perception and Usage Behavior: The Need for Cognitive Closure and Demographics. Journal of the Korean Society of Clothing and Textiles. 36(12). 1270–1284. 4 indexed citations
15.
Kim, Jihyun & Kim Hahn. (2012). Effects of Personal Traits on Generation Y Consumers' Attitudes Toward the Use of Mobile Devices for Communication and Commerce. Human Technology. 8(2). 133–156. 16 indexed citations
16.
Hahn, Kim & Yoon Jin. (2011). Self-concept and Decision-making Styles: A Comparison between Young Korean and American Consumers. Research Journal of Textile and Apparel. 15(1). 81–97. 3 indexed citations
17.
Hahn, Kim, et al.. (2010). Translating Equality: Language, Law and Poetry. CUNY Academic Works (City University of New York). 13(2). 233–233. 1 indexed citations
18.
Hahn, Kim & Jihyun Kim. (2009). The effect of offline brand trust and perceived internet confidence on online shopping intention in the integrated multi‐channel context. International Journal of Retail & Distribution Management. 37(2). 126–141. 185 indexed citations
19.
Hahn, Kim, et al.. (2009). <p>Green Printing: Colorimetric and Densitometric Analysis of Solvent-based and Vegetable Oil-based Inks of Multicolor Offset Printing</p>. The Journal of Technology Studies. 35(2). 36–46. 8 indexed citations
20.
Hahn, Kim & Rita C. Kean. (2009). The influence of self‐construals on young Korean consumers' decision‐making styles. Journal of Fashion Marketing and Management. 13(1). 6–19. 7 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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