Sungjune Park
- Management Information Systems top 2%
- Strategy and Management top 5%
- Information Systems top 5%
- Marketing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Moutaz KhoujaYong Man RoJung Uk KimCem SaydamRam L. KumarNallan C. SureshChandrasekar SubramaniamGangshu Cai
- Topics
- Supply Chain and Inventory Management (7 papers)Video Surveillance and Tracking Methods (5 papers)Advanced Neural Network Applications (4 papers)
- Journals
- IEEE AccessInternational Journal of Production EconomicsInternational Journal of Production Research
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Sungjune Park
24 papers receiving 787 citations
Peers
Comparison fields: 5 of 84
- Management Information Systems 240
- Strategy and Management 208
- Information Systems 173
- Marketing 146
- Computer Vision and Pattern Recognition 137
Countries citing papers authored by Sungjune Park
This map shows the geographic impact of Sungjune Park'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 Sungjune Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sungjune Park more than expected).
Fields of papers citing papers by Sungjune Park
This network shows the impact of papers produced by Sungjune Park. 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 Sungjune Park. The network helps show where Sungjune Park may publish in the future.
Co-authorship network of co-authors of Sungjune Park
This figure shows the co-authorship network connecting the top 25 collaborators of Sungjune Park. A scholar is included among the top collaborators of Sungjune Park 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 Sungjune Park. Sungjune Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 22 | |
| 5 | 11 | |
| 6 | 40 | |
| 7 | 12 | |
| 8 | 79 | |
| 9 | 33 | |
| 10 | 22 | |
| 11 | 27 | |
| 12 | The Impact of RFID on Firm and Supply Chain Performance: a Simulation Study | 1 |
| 13 | 93 | |
| 14 | 94 | |
| 15 | 49 | |
| 16 | 69 | |
| 17 | 45 | |
| 18 | 23 | |
| 19 | 35 | |
| 20 | 53 |
About Sungjune Park
Sungjune Park is a scholar working on Management Information Systems, General Decision Sciences and Software, having authored 27 papers that have together received 823 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (7 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Management Information Systems (240 citations), Marketing (146 citations) and Strategy and Management (208 citations). Sungjune Park has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Moutaz Khouja, Yong Man Ro, Jung Uk Kim, Cem Saydam, Ram L. Kumar, Nallan C. Suresh, Chandrasekar Subramaniam, Gangshu Cai, Jing Zhou and Antonis C. Stylianou. Their work appears in journals such as IEEE Access, International Journal of Production Economics and International Journal of Production 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.