Boolean Feature Operations
Boolean Feature Operations is a modeling technique in feature-based design that enables the creation of complex geometries by applying Boolean set operations—such as union, difference, and intersection—to individual feature primitives within a parametric and constructive solid geometry framework.
6
Publications
1.2K
Citations
31
Authors
14
Institutions
Publications per year
2017–2026
0
Parents
6
Targeting cells with single vectors using multiple-feature Boolean logic
Lief E. Fenno, Joanna Mattis, Charu Ramakrishnan et al. · Nature Methods · 2014 · 582 citations
1–5 of 6
31
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 31
14
University at Buffalo, State University of New York
Buffalo, United States
1 h-index
1 publications
582 citations
Ernst Strüngmann Institute for Neuroscience
Frankfurt am Main, Germany
1 h-index
1 publications
582 citations
Technische Universität Berlin
Berlin, Germany
1 h-index
1 publications
470 citations
University of Maryland, College Park
College Park, United States
1 h-index
1 publications
53 citations
New York University
New York, United States
1 h-index
1 publications
582 citations

Naval Surface Warfare Center
Washington, United States
1 h-index
1 publications
53 citations
Stanford University
Stanford, United States
1 h-index
13 publications
7.6K citations
University of Arizona
Tucson, United States
1 h-index
1 publications
53 citations
1–8 of 14
1 publications · 582 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 31 citations
1
h-index
1 publications · 44 citations
1
h-index
Repository · 1 publications · 470 citations
1
h-index
1–5