Daecheol Kim
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
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- Efficiency Analysis Using DEA
Papers in
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- Efficiency Analysis Using DEA 14
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- Firm Innovation and Growth 3
- Innovation Policy and R&D 2
- Co-authors
- José A. Ventura (2 shared papers)JinHyo Joseph Yun (1 shared paper)Min-Ren Yan (1 shared paper)Sung-Hyun Kim (1 shared paper)Mee-Sook Roh (1 shared paper)Sung Yong Oh (1 shared paper)Jong‐Hoon Lee (1 shared paper)Suee Lee (1 shared paper)
- Journals
- Sustainability (8 papers)Journal of Open Innovation Technology Market and Complexity (5 papers)Animals (1 paper)BMB Reports (1 paper)European Journal of Operational Research (1 paper)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Daecheol Kim
34 papers receiving 548 citations
Peers
Comparison fields: 5 of 108
- Industrial and Manufacturing Engineering 124
- Management Science and Operations Research 96
- Marketing 68
- Management Information Systems 50
- Tourism, Leisure and Hospitality Management 7
Countries citing papers authored by Daecheol Kim
This map shows the geographic impact of Daecheol 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 Daecheol Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daecheol Kim more than expected).
Fields of papers citing papers by Daecheol Kim
This network shows the impact of papers produced by Daecheol 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 Daecheol Kim. The network helps show where Daecheol Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Daecheol Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 83 | |
| 2 | 2020 | 79 | |
| 3 | 2003 | 57 | |
| 4 | 2017 | 38 | |
| 5 | 2017 | 38 | |
| 6 | 2017 | 37 | |
| 7 | 2018 | 37 | |
| 8 | 2017 | 36 | |
| 9 | 2009 | 29 | |
| 10 | 2019 | 17 | |
| 11 | 2000 | 17 | |
| 12 | 2015 | 11 | |
| 13 | 2004 | 10 | |
| 14 | 2002 | 10 | |
| 15 | 2018 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2014 | 7 | |
| 19 | 2019 | 5 | |
| 20 | 2018 | 5 |
About Daecheol Kim
Daecheol Kim is a scholar working on Management Science and Operations Research, Economics and Econometrics, Industrial and Manufacturing Engineering, Molecular Biology and Strategy and Management, having authored 39 papers that have together received 576 indexed citations. Recurring topics across this work include Efficiency Analysis Using DEA (14 papers), Scheduling and Optimization Algorithms (5 papers), Diverse Topics in Contemporary Research (4 papers), Customer Service Quality and Loyalty (3 papers), Firm Innovation and Growth (3 papers), Technology Adoption and User Behaviour (3 papers), Advanced Manufacturing and Logistics Optimization (3 papers) and Innovation Policy and R&D (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (124 citations), Management Science and Operations Research (96 citations), Marketing (68 citations), Management Information Systems (50 citations) and Tourism, Leisure and Hospitality Management (7 citations). Daecheol Kim has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include José A. Ventura, JinHyo Joseph Yun, Min-Ren Yan, Sung-Hyun Kim, Mee-Sook Roh, Sung Yong Oh, Jong‐Hoon Lee, Suee Lee, Ki‐Jae Park and Hyojin Kim. Their work appears in journals such as Sustainability, Journal of Open Innovation Technology Market and Complexity, Animals, BMB Reports and European Journal of Operational 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.