Observability

Observability is a methodological framework within distributed systems that enables the determination of a system's internal states from its external outputs, distinguishing itself from traditional monitoring through its emphasis on dynamic, query-driven analysis of telemetry data to infer unexpected or emergent behaviors.

2.8K

Publications

140.4K

Citations

5.5K

Authors

1.7K

Institutions

Publications per year

2017–2026

735

Authors

5.5K

  1. EZ
    Enrique Zuazua

    Universidad Autónoma de Madrid, Spain

    19 publications · 1.3K citations

    17

    h-index

  2. GN
    George N. Korres

    National Technical University of Athens, Greece

    21 publications · 1.3K citations

    17

    h-index

  3. GH
    Guoquan Huang

    University of Delaware, United States

    17 publications · 1.2K citations

    17

    h-index

  4. SI
    Stergios I. Roumeliotis

    University of Minnesota, United States

    18 publications · 1.3K citations

    16

    h-index

  5. JT
    José Turmo

    Universitat Politècnica de Catalunya, Spain

    15 publications · 412 citations

    14

    h-index

1–5 of 5.5K

Venues

  1. IEEE Transactions on Automatic Control

    195 publications · 13.3K citations

    65

    h-index

  2. IEEE Transactions on Power Systems

    93 publications · 9.2K citations

    52

    h-index

  3. SIAM Journal on Control and Optimization

    70 publications · 4.9K citations

    37

    h-index

  4. International Journal of Control

    66 publications · 2.7K citations

    31

    h-index

  5. 28

    h-index

1–5