Hierarchical Data Modeling
Hierarchical Data Modeling is a data modeling approach that organizes data elements into a tree-like structure where each data entity, except the root, has exactly one parent entity and may have multiple child entities, thereby representing one-to-many relationships in a multilevel containment hierarchy.
234
Publications
16.2K
Citations
656
Authors
310
Institutions
Publications per year
2017–2026
45
Parents
234
1–5 of 234
656
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310
KU Leuven
Leuven, Belgium
7 h-index
14 publications
569 citations
University of Maryland, College Park
College Park, United States
6 h-index
14 publications
1.1K citations
The Ohio State University
Columbus, United States
6 h-index
10 publications
272 citations

University of Minnesota
Minneapolis, United States
5 h-index
7 publications
323 citations
Yale University
New Haven, United States
4 h-index
5 publications
146 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
7 publications
176 citations

University of Waterloo
Waterloo, Canada
3 h-index
5 publications
217 citations
Stanford University
Stanford, United States
3 h-index
4 publications
97 citations
1–8 of 310
5 publications · 187 citations
5
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4 publications · 89 citations
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4 publications · 262 citations
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4 publications · 134 citations
4
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SEM · 4 publications · 632 citations
4
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