Network Identifiability

Network Identifiability is the property of a network model, within the broader class of structural identifiability, that determines whether the topology and parameters of a phylogenetic or reaction network can be uniquely inferred from observed input-output data under a specified class of experiments.

51

Publications

2.8K

Citations

149

Authors

104

Institutions

Publications per year

2017–2026

24

Authors

149

  1. PM
    Paul M.J. Van den Hof

    Delft University of Technology, Netherlands

    6 publications · 210 citations

    6

    h-index

  2. SS
    Shengling Shi

    Eindhoven University of Technology, Netherlands

    3 publications · 53 citations

    3

    h-index

  3. AS
    Alexandre Sanfelice Bazanella

    Universidade Federal do Rio Grande do Sul, Brazil

    3 publications · 57 citations

    3

    h-index

  4. JG
    Jorge Gonçalves

    University of Cambridge, United Kingdom

    3 publications · 152 citations

    3

    h-index

  5. MG
    M. Gevers

    UCLouvain, Belgium

    3 publications · 57 citations

    3

    h-index

1–5 of 149

Venues

  1. IFAC-PapersOnLine

    4 publications · 94 citations

    4

    h-index

  2. IEEE Transactions on Automatic Control

    4 publications · 85 citations

    4

    h-index

  3. Journal of Mathematical Biology

    3 publications · 81 citations

    3

    h-index

  4. Processes

    2 publications · 47 citations

    2

    h-index

  5. Automatica

    2 publications · 172 citations

    2

    h-index

1–5