Product Data Structures is a formal organizational framework that systematically represents the hierarchical, relational, and attribute-based configurations of product-related data entities within a Product Data Management system, distinguishing it from general data models by its specific focus on product lifecycle information integrity, traceability, and integration.
68
Publications
2.4K
Citations
173
Authors
70
Institutions
Publications per year
2017–2026
8
Parents
Publications
68
1–5 of 68
Authors
173
- CM
3
h-index
- GL
2
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- UR
2
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- SA
2
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- AD
2
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1–5 of 173
Institutions
70
Georgia Institute of Technology
Atlanta, United States
4 h-index
7 publications
204 citations
Technion – Israel Institute of Technology
Haifa, Israel
3 h-index
5 publications
198 citations
National Institute of Standards and Technology
Gaithersburg, United States
2 h-index
5 publications
204 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
2 h-index
4 publications
90 citations
University of Strathclyde
Glasgow, United Kingdom
2 h-index
7 publications
116 citations
National Tsing Hua University
Hsinchu, Taiwan
2 h-index
3 publications
156 citations
Linköping University
Linköping, Sweden
2 h-index
4 publications
117 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
2 publications
105 citations
1–8 of 70
Venues
- Computers in Industry
8 publications · 275 citations
8
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- Computer-Aided Design
6 publications · 343 citations
6
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- The International Journal of Advanced Manufacturing Technology
4 publications · 82 citations
4
h-index
- Advanced Engineering Informatics
3 publications · 106 citations
3
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- International Journal of Computer Integrated Manufacturing
2 publications · 76 citations
2
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1–5