Feature Tree Structures

Feature Tree Structures is a hierarchical organizational model in feature-based modeling that systematically represents product features and their interdependencies through a tree-like data structure, where each node denotes a feature and edges reflect compositional or constraint-based relationships.

87

Publications

4.3K

Citations

248

Authors

120

Institutions

Publications per year

2017–2026

16

Authors

248

  1. MR
    Matthias Rarey

    Universität Hamburg, Germany

    4 publications · 152 citations

    4

    h-index

  2. PB
    Patrick Blackburn

    University of Amsterdam, Netherlands

    3 publications · 228 citations

    3

    h-index

  3. KM
    Karine Megerdoomian

    Mitre (United States), United States

    2 publications · 76 citations

    2

    h-index

  4. RS
    Rohit Sharma

    Cranfield University, United Kingdom

    2 publications · 33 citations

    2

    h-index

  5. JG
    James Gao

    University of Greenwich, United Kingdom

    2 publications · 33 citations

    2

    h-index

1–5 of 248

Venues

  1. 2009 IEEE Conference on Computer Vision and Pattern Recognition

    Conference · 2 publications · 283 citations

    2

    h-index

  2. Journal of Chemical Information and Modeling

    JCIM · 2 publications · 45 citations

    2

    h-index

  3. IEEE Access

    2 publications · 40 citations

    2

    h-index

  4. IEEE Sensors Journal

    2 publications · 53 citations

    2

    h-index

  5. Natural Language Engineering

    1 publications · 480 citations

    1

    h-index

1–5