Dae‐Kwan Kim
- Marketing top 5%
- Molecular Biology
- Sociology and Political Science top 10%
- Management, Monitoring, Policy and Law top 10%
- Food Science
- Co-authors
- Myung Ja KimC. Michael HallKyung‐Soon ParkYoung ChaYoung Hoon KimNelson BarberYeongbae ChoeJihwan Song
- Topics
- Conferences and Exhibitions Management (6 papers)Diverse Aspects of Tourism Research (6 papers)Sport and Mega-Event Impacts (6 papers)
- Partner nations
- South KoreaUnited StatesFinland
In The Last Decade
Dae‐Kwan Kim
27 papers receiving 553 citations
Peers
Comparison fields: 5 of 105
- Marketing 182
- Molecular Biology 175
- Sociology and Political Science 168
- Management, Monitoring, Policy and Law 83
- Food Science 60
Countries citing papers authored by Dae‐Kwan Kim
This map shows the geographic impact of Dae‐Kwan 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 Dae‐Kwan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Kwan Kim more than expected).
Fields of papers citing papers by Dae‐Kwan Kim
This network shows the impact of papers produced by Dae‐Kwan 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 Dae‐Kwan Kim. The network helps show where Dae‐Kwan Kim may publish in the future.
Co-authorship network of co-authors of Dae‐Kwan Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Kwan Kim. A scholar is included among the top collaborators of Dae‐Kwan 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 Dae‐Kwan Kim. Dae‐Kwan Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 13 | |
| 3 | 19 | |
| 4 | 22 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | A Study on Guideline Development for Green MICE Facilities - Focusing on Location and Building Management of Exhibition & Convention Centers - | 2 |
| 9 | 14 | |
| 10 | 0 | |
| 11 | 34 | |
| 12 | 34 | |
| 13 | 79 | |
| 14 | 29 | |
| 15 | 6 | |
| 16 | Study on Developing Guidelines for Green Exhibition and Convention Center | 1 |
| 17 | 16 | |
| 18 | Attributes and Performance of Government Export Support Programs for Exhibitors at ITFs | 4 |
| 19 | A Study on the Development of KPI in the Super Deluxe Hotel Business in Seoul Korea Using BSC | 0 |
| 20 | Assessment of tourism resource development by the Analytic Hierarchy Process : Focusing on the Planning Process | 6 |
About Dae‐Kwan Kim
Dae‐Kwan Kim is a scholar working on Marketing, Cultural Studies and Sociology and Political Science, having authored 30 papers that have together received 569 indexed citations. Recurring topics across this work include Conferences and Exhibitions Management (6 papers), Diverse Aspects of Tourism Research (6 papers) and Sport and Mega-Event Impacts (6 papers). The work is most often cited by research in Marketing (182 citations), Management, Monitoring, Policy and Law (83 citations) and Business and International Management (10 citations). Dae‐Kwan Kim has collaborated with scholars based in South Korea, United States and Finland. Frequent co-authors include Myung Ja Kim, C. Michael Hall, Kyung‐Soon Park, Young Cha, Young Hoon Kim, Nelson Barber, Yeongbae Choe, Jihwan Song, Iksoo Jeon and Keun Pil Kim. Their work appears in journals such as PLoS ONE, Annals of Tourism Research and Cellular Signalling.
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.