Dae‐Hee Yoon
Impact in
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- Supply Chain and Inventory Management
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Consumer Retail Behavior Studies
Papers in
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- Supply Chain and Inventory Management 9
-
- Consumer Market Behavior and Pricing 6
- Co-authors
- Brian Mittendorf (7 shared papers)Jiwoong Shin (4 shared papers)Anil Arya (5 shared papers)K. Sudhir (2 shared papers)Jungmin Yoo (1 shared paper)Kwang‐Sik Lee (1 shared paper)
- Journals
- Management Science (3 papers)Accounting Organizations and Society (1 paper)Production and Operations Management (1 paper)Contemporary Accounting Research (1 paper)The Accounting Review (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Dae‐Hee Yoon
13 papers receiving 427 citations
Peers
Comparison fields: 5 of 37
- Management Information Systems 284
- Marketing 239
- Strategy and Management 253
- Management Science and Operations Research 99
- Economics and Econometrics 86
Countries citing papers authored by Dae‐Hee Yoon
This map shows the geographic impact of Dae‐Hee Yoon'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‐Hee Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dae‐Hee Yoon more than expected).
Fields of papers citing papers by Dae‐Hee Yoon
This network shows the impact of papers produced by Dae‐Hee Yoon. 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‐Hee Yoon. The network helps show where Dae‐Hee Yoon may publish in the future.
Co-authors
The 6 scholars most cited alongside Dae‐Hee Yoon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 182 | |
| 2 | 2011 | 72 | |
| 3 | 2013 | 66 | |
| 4 | 2008 | 65 | |
| 5 | 2018 | 16 | |
| 6 | 2020 | 12 | |
| 7 | 2013 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 3 | |
| 10 | 2018 | 3 | |
| 11 | 2013 | 2 | |
| 12 | 2007 | 1 | |
| 13 | 2012 | 1 | |
| 14 | Centrifuge Modeling and Numerical Analysis on Breakwater Construction | 2011 | 0 |
| 15 | When to Fire Customers? Customer Cost-Based Pricing | 2012 | 0 |
About Dae‐Hee Yoon
Dae‐Hee Yoon is a scholar working on Management Information Systems, Marketing, Economics and Econometrics, Strategy and Management and Accounting, having authored 15 papers that have together received 441 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (9 papers), Consumer Market Behavior and Pricing (6 papers), Digital Platforms and Economics (4 papers), Merger and Competition Analysis (4 papers), Corporate Finance and Governance (3 papers), Auction Theory and Applications (3 papers), Auditing, Earnings Management, Governance (2 papers) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Management Information Systems (284 citations), Marketing (239 citations), Strategy and Management (253 citations), Management Science and Operations Research (99 citations) and Economics and Econometrics (86 citations). Dae‐Hee Yoon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Brian Mittendorf, Jiwoong Shin, Anil Arya, K. Sudhir, Jungmin Yoo and Kwang‐Sik Lee. Their work appears in journals such as Management Science, Accounting Organizations and Society, Production and Operations Management, Contemporary Accounting Research and The Accounting Review.
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.