Model-driven Data Design
Model-Driven Data Design is a formal methodology in data modeling that uses high-level conceptual, logical, or physical models as primary artifacts to systematically generate, transform, and manage database schemas and data architectures through automated or semi-automated processes.
9
Publications
276
Citations
47
Authors
31
Institutions
Publications per year
2017–2026
7
Parents
9
1–5 of 9
47
1
h-index
University at Buffalo, State University of New York, United States
1 publications · 19 citations
1
h-index
1
h-index
1
h-index
University at Buffalo, State University of New York, United States
1 publications · 19 citations
1
h-index
1–5 of 47
31
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
10 publications
190 citations

Saarland University
Saarbrücken, Germany
1 h-index
4 publications
92 citations
Bundesdruckerei (Germany)
Berlin, Germany
1 h-index
2 publications
46 citations
Swinburne University of Technology
Melbourne, Australia
1 h-index
1 publications
21 citations

Fogarty International Center
Bethesda, United States
1 h-index
1 publications
39 citations
Liverpool School of Tropical Medicine
Liverpool, United Kingdom
1 h-index
1 publications
39 citations
Graz University of Technology
Graz, Austria
1 h-index
3 publications
171 citations

King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
1 h-index
3 publications
57 citations
1–8 of 31
1 publications · 39 citations
1
h-index
1 publications · 22 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 21 citations
1
h-index
1 publications · 18 citations
1
h-index
1–5