Network Integration Algorithms

Network Integration Algorithms is a computational methodology that systematically harmonizes heterogeneous network data from multiple sources into a unified representational structure by preserving topological integrity and enabling cross-network analysis, distinguishing it from general integration techniques through its specific focus on network-structured data interoperability.

5

Publications

292

Citations

35

Authors

14

Institutions

Publications per year

2017–2026

2

Authors

35

  1. ML
    Markus List

    Technical University of Munich, Germany

    1 publications · 25 citations

    1

    h-index

  2. EA
    Elisa Anastasi

    Technical University of Munich, Germany

    1 publications · 25 citations

    1

    h-index

  3. JT
    James T. Metz

    Discovery Laboratories (United States), United States

    1 publications · 152 citations

    1

    h-index

  4. LT
    Lin Tong

    Chinese Academy of Medical Sciences & Peking Union Medical College, China

    1 publications · 41 citations

    1

    h-index

  5. CN
    Cristian Nogales

    Technical University of Munich, Germany

    1 publications · 25 citations

    1

    h-index

1–5 of 35

Venues

  1. 1

    h-index

  2. Briefings in Bioinformatics

    1 publications · 41 citations

    1

    h-index

  3. Nucleic Acids Research

    1 publications · 25 citations

    1

    h-index

  4. Xenobiotica

    1 publications · 152 citations

    1

    h-index

  5. IEE Proceedings - Software

    1 publications · 15 citations

    1

    h-index

1–5