Hak‐Seon Kim

2.0k total citations · 1 hit paper
97 papers, 1.4k citations indexed

About

Hak‐Seon Kim is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Marketing. According to data from OpenAlex, Hak‐Seon Kim has authored 97 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Sociology and Political Science, 40 papers in Organizational Behavior and Human Resource Management and 39 papers in Marketing. Recurrent topics in Hak‐Seon Kim's work include Customer Service Quality and Loyalty (39 papers), Digital Marketing and Social Media (35 papers) and Nutrition, Health and Food Behavior (20 papers). Hak‐Seon Kim is often cited by papers focused on Customer Service Quality and Loyalty (39 papers), Digital Marketing and Social Media (35 papers) and Nutrition, Health and Food Behavior (20 papers). Hak‐Seon Kim collaborates with scholars based in South Korea, United States and China. Hak‐Seon Kim's co-authors include Hyun-Jeong Ban, Eun-Kyong Choi, Jae-Kyung No, Chorong Oh, Hyun-Woo Joung, Kavitha Haldorai, Woo Gon Kim, Souji Gopalakrishna Pillai, Hayeon Choi and H. Kwon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Nutrients.

In The Last Decade

Hak‐Seon Kim

81 papers receiving 1.3k citations

Hit Papers

Online food delivery services and consumers' purchase int... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hak‐Seon Kim South Korea 22 589 448 345 189 179 97 1.4k
Mary B. Gregoire United States 21 310 0.5× 285 0.6× 405 1.2× 168 0.9× 145 0.8× 89 1.4k
Mohd Rashid Ab Hamid Malaysia 10 235 0.4× 213 0.5× 173 0.5× 173 0.9× 72 0.4× 46 1.4k
David A. Cranage United States 20 663 1.1× 728 1.6× 527 1.5× 301 1.6× 213 1.2× 45 1.5k
Archana Kumar Bahrain 17 584 1.0× 852 1.9× 359 1.0× 211 1.1× 114 0.6× 44 1.5k
Bodo Lang New Zealand 20 537 0.9× 745 1.7× 487 1.4× 306 1.6× 40 0.2× 34 1.3k
Taehee Kim South Korea 11 453 0.8× 508 1.1× 570 1.7× 84 0.4× 23 0.1× 61 1.0k
Manoj Hastak United States 18 292 0.5× 717 1.6× 155 0.4× 67 0.4× 315 1.8× 31 1.3k
Eojina Kim United States 15 671 1.1× 497 1.1× 317 0.9× 124 0.7× 54 0.3× 36 1.0k
Alex M. Susskind United States 22 772 1.3× 595 1.3× 888 2.6× 255 1.3× 27 0.2× 52 1.7k
José Afonso Mazzon Brazil 17 486 0.8× 422 0.9× 354 1.0× 601 3.2× 28 0.2× 78 1.3k

Countries citing papers authored by Hak‐Seon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hak‐Seon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hak‐Seon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hak‐Seon Kim. A scholar is included among the top collaborators of Hak‐Seon 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 Hak‐Seon Kim. Hak‐Seon 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
1.
Kim, Hak‐Seon, et al.. (2025). Exploring Visual Attention, Consumption Vision, and Attitude Toward Café Menus Using Eye‐Tracking Analysis. International Journal of Tourism Research. 27(5).
2.
Kim, Hak‐Seon, et al.. (2024). Exploring Technology Acceptance of Healthcare Devices: The Moderating Role of Device Type and Generation. Sensors. 24(24). 7921–7921. 5 indexed citations
3.
Kim, Hak‐Seon, et al.. (2023). Analyzing Online Reviews to Uncover Customer Satisfaction Factors in Indian Cultural Tourism Destinations. Behavioral Sciences. 13(11). 923–923. 11 indexed citations
4.
Kim, Hak‐Seon, et al.. (2023). A Study on Technology Acceptance of Digital Healthcare among Older Korean Adults Using Extended Tam (Extended Technology Acceptance Model). Administrative Sciences. 13(2). 42–42. 43 indexed citations
5.
Kim, Hak‐Seon, et al.. (2023). An analysis of online reputation at integrated resort in Macao—Evidence from the survey of customer online review. Environment and Social Psychology. 8(1). 1 indexed citations
6.
Kim, Hak‐Seon, et al.. (2023). B&B Customer Experience and Satisfaction: Evidence from Online Customer Reviews. Service Science. 16(1). 42–54. 7 indexed citations
7.
Kim, Hak‐Seon, et al.. (2023). An Investigation of the Key Attributes of Korean Wellness Tourism Customers Based on Online Reviews. Sustainability. 15(8). 6702–6702. 8 indexed citations
8.
Kim, Hak‐Seon, et al.. (2022). Online Customer Reviews and Satisfaction with an Upscale Hotel: A Case Study of Atlantis, The Palm in Dubai. Information. 13(3). 150–150. 12 indexed citations
9.
Fu, Wei, et al.. (2022). Understanding the Customer Experience and Satisfaction of Casino Hotels in Busan through Online User-Generated Content. Sustainability. 14(10). 5846–5846. 9 indexed citations
10.
Dagvadorj, Amarjargal, et al.. (2021). A Study on Research Trend of Foodservice in Korean Schools Using Semantic Network Analysis. Culinary Science & Hospitality Research. 27(3). 112–119. 1 indexed citations
11.
Kim, Hak‐Seon, et al.. (2020). A Study on the Consumer’s Perception of Bakery Using Big Data Analytics. Culinary Science & Hospitality Research. 26(4). 66–75. 1 indexed citations
12.
Kim, Hak‐Seon, et al.. (2020). A Study on Consumers' Perception of Meal-Kit: After the Spread of Coronavirus Infectious Disease-19 (COVID-19). Culinary Science & Hospitality Research. 26(10). 198–207. 5 indexed citations
13.
Kim, Haedong, et al.. (2020). A Study on the Experience of Casino Hotel Using Online Review Analysis. Culinary Science & Hospitality Research. 26(7). 22–29. 1 indexed citations
14.
Kim, Taeho & Hak‐Seon Kim. (2019). Suggestions on how to activate the stay type Ulsan tourism using Big Data Analysis. 35(1). 47–76. 1 indexed citations
15.
17.
Kim, Hak‐Seon, et al.. (2016). The Study of Behavioral Intention of Environmental Friendly agricultural Products choice in Consumer by Using Theory of Planned Behavior. Journal of Foodservice Management. 19(1). 201–221. 1 indexed citations
18.
Kim, Hak‐Seon. (2013). Study on Relationship between Satisfaction, Loyalty, and Subjective Quality of Life: Generation Y Consumers in University Foodservice. The Korean Data Analysis Society. 15(1). 489–500. 6 indexed citations
19.
Kim, Hak‐Seon, Kwang‐Woo Lee, Daeyeol Lee, Hyun-Woo Joung, & Jingxue Yuan. (2012). Assessing the Quality of A Restaurant's Website Using DINEWEBQUAL. Journal of Quality Assurance in Hospitality & Tourism. 13(3). 235–245. 5 indexed citations
20.
Kim, Hak‐Seon, Daeyeol Lee, Eun-Kyong Choi, & Lynn Huffman. (2010). Research Activity at the Annual Graduate Student Research Conference in Hospitality & Tourism. Journal of Teaching in Travel & Tourism. 10(1). 75–85. 2 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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