False Alarm Analysis

False Alarm Analysis is a methodological framework within early warning systems that systematically identifies, evaluates, and interprets non-occurrence events mistakenly classified as critical alerts, thereby distinguishing spurious signals from valid predictions.

1.1K

Publications

53.8K

Citations

2.9K

Authors

1K

Institutions

Publications per year

2017–2026

270

Authors

2.9K

  1. JL
    Jun Liu

    University of Science and Technology of China, China

    22 publications · 1K citations

    19

    h-index

  2. WL
    Weijian Liu

    Wuhan Branch of the National Science Library, China

    14 publications · 566 citations

    14

    h-index

  3. DO
    Danilo Orlando

    University Niccolò Cusano, Italy

    11 publications · 504 citations

    11

    h-index

  4. AF
    Alfonso Farina

    SELEX Sistemi Integrati, Italy

    10 publications · 375 citations

    10

    h-index

  5. VV
    Venugopal V. Veeravalli

    University of Illinois Urbana-Champaign, United States

    10 publications · 345 citations

    10

    h-index

1–5 of 2.9K

Venues

  1. 35

    h-index

  2. IEEE Transactions on Signal Processing

    52 publications · 2.5K citations

    28

    h-index

  3. IEEE Transactions on Information Theory

    25 publications · 985 citations

    19

    h-index

  4. IEEE Transactions on Vehicular Technology

    22 publications · 1.2K citations

    17

    h-index

  5. 16

    h-index

1–5