Hakseung Shin
- Sociology and Political Science top 1%
- Marketing top 1%
- Organizational Behavior and Human Resource Management top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Co-authors
- Juhyun KangRichard R. PerdueJuan Luis NicolauAbhinav SharmaHoon LeeMaría Jesús Santa-MaríaMario PandelaereJinhee Lee
- Topics
- Digital Marketing and Social Media (15 papers)Diverse Aspects of Tourism Research (9 papers)Customer Service Quality and Loyalty (9 papers)
- Cited by
- MarketingOrganizational Behavior and Human Resource ManagementInformation Systems and Management
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Hakseung Shin
36 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Sociology and Political Science 959
- Marketing 600
- Organizational Behavior and Human Resource Management 353
- Artificial Intelligence 253
- Economics and Econometrics 248
Countries citing papers authored by Hakseung Shin
This map shows the geographic impact of Hakseung Shin'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 Hakseung Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hakseung Shin more than expected).
Fields of papers citing papers by Hakseung Shin
This network shows the impact of papers produced by Hakseung Shin. 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 Hakseung Shin. The network helps show where Hakseung Shin may publish in the future.
Co-authorship network of co-authors of Hakseung Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Hakseung Shin. A scholar is included among the top collaborators of Hakseung Shin 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 Hakseung Shin. Hakseung Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | How does the metaverse travel experience influence virtual and actual travel behaviors? Focusing on the role of telepresence and avatar identificationbreakdown → | 42 |
| 9 | 12 | |
| 10 | 9 | |
| 11 | 21 | |
| 12 | 36 | |
| 13 | 16 | |
| 14 | 8 | |
| 15 | 13 | |
| 16 | 114 | |
| 17 | 119 | |
| 18 | 33 | |
| 19 | Reducing perceived health risk to attract hotel customers in the COVID-19 pandemic era: Focused on technology innovation for social distancing and cleanlinessbreakdown → | 384 |
| 20 | 83 |
About Hakseung Shin
Hakseung Shin is a scholar working on Marketing, Business and International Management and General Energy, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (15 papers), Diverse Aspects of Tourism Research (9 papers) and Customer Service Quality and Loyalty (9 papers). The work is most often cited by research in Marketing (600 citations), Organizational Behavior and Human Resource Management (353 citations) and Information Systems and Management (182 citations). Hakseung Shin has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Juhyun Kang, Richard R. Perdue, Juan Luis Nicolau, Abhinav Sharma, Hoon Lee, María Jesús Santa-María, Mario Pandelaere, Jinhee Lee, Seunghee Baek and Hak‐Sung Kim. Their work appears in journals such as Tourism Management, Annals of Tourism Research and Journal of Travel Research.
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.