Integrative Modeling
Integrative Modeling is a computational or statistical framework that combines diverse data sources, methodologies, or modeling paradigms into a unified structure to enhance predictive accuracy, interpretability, or generalizability within ensemble modeling.
443
Publications
34.6K
Citations
2.1K
Authors
892
Institutions
Publications per year
2017–2026
158
Parents
443
Robert F. Krueger, Kristian E. Markon, Christopher J. Patrick et al. · Journal of Abnormal Psychology · 2007 · 880 citations · Full text
1–5 of 443
2.1K
11
h-index
6
h-index
4
h-index
University of California, San Francisco, United States
3 publications · 230 citations
3
h-index
3
h-index
1–5 of 2.1K
892

Centre National de la Recherche Scientifique
Paris, France
14 h-index
48 publications
4K citations
University of California, San Francisco
San Francisco, United States
13 h-index
47 publications
6K citations
Utrecht University
Utrecht, The Netherlands
9 h-index
24 publications
10.8K citations
QB3
San Francisco, United States
9 h-index
28 publications
4.9K citations
ETH Zurich
Zurich, Switzerland
9 h-index
16 publications
477 citations
University of Washington
Seattle, United States
9 h-index
12 publications
2.6K citations
Stanford University
Stanford, United States
8 h-index
33 publications
1.1K citations
University of Oxford
Oxford, United Kingdom
8 h-index
19 publications
1.2K citations
1–8 of 892
8 publications · 253 citations
8
h-index
Repository · 7 publications · 254 citations
7
h-index
7 publications · 836 citations
7
h-index
WER · 7 publications · 134 citations
7
h-index
7 publications · 311 citations
7
h-index
1–5