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Quantifying the publication preferences of leading research universities
Barbara S. Lancho-Barrantes
, Francisco J. Cantu-Ortiz
School of Arch, Tech and Eng
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peer-review
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Keyphrases
Time High Education
100%
Scientific Production
100%
Cosine Similarity
100%
Research Preferences
100%
Cluster Analysis
50%
Social Sciences
50%
High-score
50%
Physical Science
50%
Statistical Techniques
50%
Affine
50%
Life Sciences
50%
Prestige
50%
Devotion
50%
Health Sciences
50%
Top Universities
50%
University Rankings
50%
Hierarchical Cluster Analysis
50%
Excellence in Research
50%
Time of Use
50%
Research Profile
50%
COVID-19 Outbreak
50%
VOSviewer
50%
Leiden
50%
SciVal
50%
Leading Universities
50%
Academic Mission
50%
Scopus Database
50%
Publication Data
50%
Agglomerative Hierarchical Clustering
50%
Bibliometric Indicators
50%
Times Higher Education World University Rankings
50%
Social Sciences
University Ranking
100%
Advocacy
50%
Cluster Analysis
50%
Health Science
50%
Bibliology
50%
Time Use
50%
Social Science
50%
Economics, Econometrics and Finance
VOSviewer
100%
Time Use
100%
Psychology
Cluster Analysis
100%
Directing
100%
Computer Science
Hierarchical Clustering
50%