Core Knowledge Selection
Core Knowledge Selection is a systematic academic process within content selection that identifies and prioritizes foundational contributions—such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics—based on their centrality, influence, and reusability within a research domain.
52
Publications
2.9K
Citations
110
Authors
78
Institutions
Publications per year
2017–2026
11
Parents
52
1–5 of 52
110
3
h-index
2
h-index
2
h-index
Massachusetts Institute of Technology, United States
2 publications · 104 citations
2
h-index
2
h-index
1–5 of 110
78
Harvard University
Cambridge, United States
4 h-index
5 publications
283 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
3 publications
192 citations
Yale University
New Haven, United States
2 h-index
2 publications
54 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
3 publications
294 citations

University of London
London, United Kingdom
2 h-index
2 publications
152 citations

University of North Carolina at Greensboro
Greensboro, United States
1 h-index
1 publications
19 citations
Philadelphia College of Osteopathic Medicine
Philadelphia, United States
1 h-index
1 publications
28 citations

Yanshan University
Qinhuangdao, China
1 h-index
1 publications
32 citations
1–8 of 78
EMJ · 2 publications · 72 citations
2
h-index
2 publications · 277 citations
2
h-index
1 publications · 28 citations
1
h-index
IJADE · 1 publications · 23 citations
1
h-index
1 publications · 16 citations
1
h-index
1–5