Taewoo Ko
Impact in
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- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
- Mechanical Engineering top 10%
- Advanced machining processes and optimization
- Aluminum Alloys Composites Properties
Papers in
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- Construction Project Management and Performance 6
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- Software Engineering Techniques and Practices 4
- Software Engineering Research 3
- Co-authors
- Jiang Lin (1 shared paper)H. David Jeong (4 shared papers)JeeHee Lee (5 shared papers)Ghang Lee (1 shared paper)Douglas D. Gransberg (1 shared paper)Kunhee Choi (1 shared paper)Hae‐Kwon Jeong (1 shared paper)
- Journals
- Journal of Construction Engineering and Management (3 papers)Journal of Management in Engineering (2 papers)The International Journal of Advanced Manufacturing Technology (1 paper)ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering (1 paper)Construction Research Congress 2022 (1 paper)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Taewoo Ko
9 papers receiving 291 citations
Peers
Comparison fields: 5 of 56
- Industrial and Manufacturing Engineering 75
- Mechanical Engineering 208
- Management Science and Operations Research 66
- Electrical and Electronic Engineering 178
- Radiological and Ultrasound Technology 14
Countries citing papers authored by Taewoo Ko
This map shows the geographic impact of Taewoo Ko'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 Taewoo Ko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taewoo Ko more than expected).
Fields of papers citing papers by Taewoo Ko
This network shows the impact of papers produced by Taewoo Ko. 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 Taewoo Ko. The network helps show where Taewoo Ko may publish in the future.
Co-authors
The 7 scholars most cited alongside Taewoo Ko, 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 | 2002 | 272 | |
| 2 | 2021 | 21 | |
| 3 | 2023 | 8 | |
| 4 | 2023 | 7 | |
| 5 | 2020 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2022 | 1 | |
| 10 | 2025 | 0 |
About Taewoo Ko
Taewoo Ko is a scholar working on Management Science and Operations Research, Information Systems, Building and Construction, Artificial Intelligence and Computer Networks and Communications, having authored 10 papers that have together received 319 indexed citations. Recurring topics across this work include Construction Project Management and Performance (6 papers), Software Engineering Techniques and Practices (4 papers), BIM and Construction Integration (4 papers), Software Engineering Research (3 papers), Semantic Web and Ontologies (1 paper), Natural Language Processing Techniques (1 paper), Risk and Safety Analysis (1 paper) and Industrial Vision Systems and Defect Detection (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (75 citations), Mechanical Engineering (208 citations), Management Science and Operations Research (66 citations), Electrical and Electronic Engineering (178 citations) and Radiological and Ultrasound Technology (14 citations). Taewoo Ko has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Jiang Lin, H. David Jeong, JeeHee Lee, Ghang Lee, Douglas D. Gransberg, Kunhee Choi and Hae‐Kwon Jeong. Their work appears in journals such as Journal of Construction Engineering and Management, Journal of Management in Engineering, The International Journal of Advanced Manufacturing Technology, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part A Civil Engineering and Construction Research Congress 2022.
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.