Temporal Causal Discovery

Temporal Causal Discovery is a methodological framework within causal discovery that specifically identifies causal relationships from temporal data by leveraging the direction and lagged dependencies inherent in time-ordered observations.

33

Publications

1.4K

Citations

92

Authors

61

Institutions

Publications per year

2017–2026

19

Authors

92

  1. MJ
    Marc J. Buehner

    Cardiff University, United Kingdom

    3 publications · 220 citations

    3

    h-index

  2. AP
    Anne Petersen

    University of Gothenburg, Sweden

    1 publications · 40 citations

    2

    h-index

  3. WJ
    W. James Greville

    Swansea University, United Kingdom

    2 publications · 121 citations

    2

    h-index

  4. YL
    Yan Liu

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 90 citations

    2

    h-index

  5. MO
    Merete Osler

    University of Copenhagen, Denmark

    1 publications · 40 citations

    2

    h-index

1–5 of 92

Venues

  1. American Journal of Epidemiology

    AJE · 1 publications · 40 citations

    2

    h-index

  2. PubMed

    Repository · 2 publications · 45 citations

    2

    h-index

  3. 2

    h-index

  4. Reliability Engineering & System Safety

    1 publications · 45 citations

    1

    h-index

  5. Science Bulletin

    1 publications · 46 citations

    1

    h-index

1–5