Daewon Sun

1.5k citations
41 papers · 1.2k · h-index 16

Impact in

Papers in

Daewon Sun

39 papers receiving 1.1k citations

Peers

Daewon Sun
Comparison fields: 5 of 83
  • Management Information Systems 683
  • Marketing 528
  • Strategy and Management 518
  • Management Science and Operations Research 268
  • Industrial and Manufacturing Engineering 90
Replace Felix Reimann with:
Felix Reimann Germany
Wesley S. Randall United States
Birendra K. Mishra United States
Guillaume Roels United States
Cuihong Li United States
Tunay I. Tunca United States
Peter C. Bell Canada
Xiaoyan Xu China
Alfred Taudes Austria
Zelong Yi China
Daewon Sun relative to Felix Reimann Germany Felix Reimann's profile →
Citations per field
00.5×3.1×
Felix Reimann · 1×
Citations per year

Countries citing papers authored by Daewon Sun

Since Specialization
Citations

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

Fields of papers citing papers by Daewon Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daewon Sun, 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 Daewon Sun Line = papers co-authored together Daewon Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012273
2 2005132
3 2012102
4 201682
5 201360
6 201255
7 200651
8 201947
9 200846
10 200541
11 201439
12 201521
13 200720
14 200419
15 202019
16 200618
17 201215
18 200814
19 201313
20 201512

About Daewon Sun

Daewon Sun is a scholar working on Management Information Systems, Marketing, Management Science and Operations Research, Strategy and Management and Information Systems, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (25 papers), Consumer Market Behavior and Pricing (16 papers), Auction Theory and Applications (9 papers), Advanced Queuing Theory Analysis (6 papers), Sustainable Supply Chain Management (6 papers), Innovation Diffusion and Forecasting (4 papers), Digital Platforms and Economics (4 papers) and Corporate Finance and Governance (3 papers). The work is most often cited by research in Management Information Systems (683 citations), Marketing (528 citations), Strategy and Management (518 citations), Management Science and Operations Research (268 citations) and Industrial and Manufacturing Engineering (90 citations). Daewon Sun has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Jennifer K. Ryan, Xuying Zhao, Hemant K. Bhargava, Daniel Power, Zhaolin Li, Dennis Z. Yu, Byung Cho Kim, Kevin Wong, Lusheng Shao and Jack C. Hayya. Their work appears in journals such as Production and Operations Management, Decision Sciences, International Journal of Production Economics, European Journal of Operational Research and IEEE Transactions on Engineering Management.

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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