Block Depth
Block Depth is a hierarchical structural metric in academic discourse that denotes the level of nesting of a paper-level contribution—such as a method, model, framework, theory, construct, dataset, task, or metric—within the overarching topic hierarchy, distinguishing it by its position relative to the root topic.
11
Publications
391
Citations
39
Authors
23
Institutions
Publications per year
2017–2026
4
Parents
11
1–5 of 11
39
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 39
23
Neurological Surgery
Rockville Centre, United States
2 h-index
2 publications
31 citations

Vanderbilt University
Nashville, United States
2 h-index
8 publications
129 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
184 citations
Case Western Reserve University
Cleveland, United States
2 h-index
6 publications
88 citations
Changchun Institute of Optics, Fine Mechanics and Physics
Changchun, China
1 h-index
3 publications
57 citations

Monmouth College
Monmouth, United States
1 h-index
1 publications
42 citations
Institut polytechnique de Grenoble
Grenoble, France
1 h-index
6 publications
108 citations
Direction de la Recherche Technologique
Grenoble, France
1 h-index
6 publications
108 citations
1–8 of 23
2 publications · 72 citations
2
h-index
1 publications · 16 citations
1
h-index
1 publications · 46 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 154 citations
1
h-index
1–5