Jongkun Jun

19 papers receiving 1.4k citations

Jongkun Jun's Hit Papers

Application of discrete-event simulation in health care clinics: A survey 1999 · 660 citations
6600+9+18Years since publication200400600

Peers

Jongkun Jun
Comparison fields: 5 of 96
  • Emergency Medical Services 681
  • Information Systems and Management 410
  • Marketing 302
  • Organizational Behavior and Human Resource Management 246
  • Emergency Medicine 183
Replace Edieal J. Pinker with:
Edieal J. Pinker United States
Diwas Singh KC United States
Kathleen L. McFadden United States
Sharon Bergman Schweikhart United States
Ravi S. Behara United States
Nan Liu China
Kenneth L. Schultz United States
Amr Arisha Ireland
Filippo Visintin Italy
Gregory R. Heim United States
Jongkun Jun relative to Edieal J. Pinker United States Edieal J. Pinker's profile →
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Edieal J. Pinker · 1×
Citations per year

Countries citing papers authored by Jongkun Jun

Since Specialization
Citations

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

Fields of papers citing papers by Jongkun Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Jongkun Jun, 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 Jongkun Jun Line = papers co-authored together Jongkun Jun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Application of discrete-event simulation in health care clinics: A survey
Hit paper breakdown →
1999660
2 2003319
3 2001146
4 2007109
5 201559
6 200752
7 201638
8 200536
9 201427
10 201821
11 201919
12 201716
13 20164
14 20143
15 20193
16 20253
17
Key Determinants of Customer Success
19991
18 20241
19 20131
20 20230

About Jongkun Jun

Jongkun Jun is a scholar working on Information Systems and Management, Organizational Behavior and Human Resource Management, Marketing, Sociology and Political Science and Emergency Medical Services, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (12 papers), Digital Marketing and Social Media (10 papers), Customer Service Quality and Loyalty (9 papers), International Business and FDI (2 papers), Environmental Sustainability in Business (2 papers), Simulation Techniques and Applications (2 papers), Healthcare Operations and Scheduling Optimization (2 papers) and Consumer Retail Behavior Studies (2 papers). The work is most often cited by research in Emergency Medical Services (681 citations), Information Systems and Management (410 citations), Marketing (302 citations), Organizational Behavior and Human Resource Management (246 citations) and Emergency Medicine (183 citations). Jongkun Jun has collaborated with scholars based in South Korea, United States and Vietnam. Frequent co-authors include Sheldon H. Jacobson, James R. Swisher, Cheol Ho Park, Thaemin Lee, Osman Balcı, Il Im, Wonseok Oh, Hee-Jung Lee, Hangjung Zo and J. Lim. Their work appears in journals such as International Marketing Review, Patient Preference and Adherence, Service Business, MIS Quarterly and Journal of the Operational Research Society.

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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