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

Authors

2.1K

  1. AŠ
    Andrej Šali

    University of California, San Francisco, United States

    11 publications · 1.1K citations

    11

    h-index

  2. AM
    Alexandre M. J. J. Bonvin

    Utrecht University, Netherlands

    6 publications · 3.2K citations

    6

    h-index

  3. BW
    Benjamin Webb

    QB3, United States

    4 publications · 218 citations

    4

    h-index

  4. SV
    Shruthi Viswanath

    University of California, San Francisco, United States

    3 publications · 230 citations

    3

    h-index

  5. RP
    Riccardo Pellarin

    University of Zurich, Switzerland

    3 publications · 223 citations

    3

    h-index

1–5 of 2.1K

Venues

  1. Scientific Reports

    8 publications · 253 citations

    8

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 7 publications · 254 citations

    7

    h-index

  3. Bioinformatics

    7 publications · 836 citations

    7

    h-index

  4. Water Environment Research

    WER · 7 publications · 134 citations

    7

    h-index

  5. Nature Communications

    7 publications · 311 citations

    7

    h-index

1–5