Field-based Early Warning

Field-Based Early Warning is an academic concept referring to a type of early warning system that is grounded in real-time, on-site data collection and observational practices within a specific domain or environment, distinguishing it from model-driven or simulation-based approaches by its direct reliance on empirical field evidence.

11

Publications

473

Citations

39

Authors

24

Institutions

Publications per year

2017–2026

2

Authors

39

  1. PA
    Peter A. Fokker

    Netherlands Organisation for Applied Scientific Research, Netherlands

    1 publications · 13 citations

    1

    h-index

  2. IC
    I. C. Kroon

    Netherlands Organisation for Applied Scientific Research, Netherlands

    1 publications · 13 citations

    1

    h-index

  3. CP
    Claire Packer

    University of Birmingham, United Kingdom

    1 publications · 42 citations

    1

    h-index

  4. NL
    Nan Li

    China Agricultural University, China

    1 publications · 52 citations

    1

    h-index

  5. JZ
    Jian Zhang

    Beijing Information Science & Technology University, China

    1 publications · 52 citations

    1

    h-index

1–5 of 39

Venues

  1. Expert Systems with Applications

    1 publications · 52 citations

    1

    h-index

  2. Automation in Construction

    1 publications · 146 citations

    1

    h-index

  3. Mathematical Geosciences

    1 publications · 13 citations

    1

    h-index

  4. TNO Repository

    Repository · 1 publications · 31 citations

    1

    h-index

  5. International Journal of Drug Policy

    1 publications · 18 citations

    1

    h-index

1–5