Incident Summarization

Incident Summarization is a computational method that synthesizes salient information from raw incident reports into a concise, structured overview, distinguishing itself from related triage techniques by its focus on automated content extraction and contextual prioritization for decision support.

34

Publications

1.5K

Citations

95

Authors

49

Institutions

Publications per year

2017–2026

16

Authors

95

  1. MI
    Muhammad Imran

    Hamad bin Khalifa University, Qatar

    4 publications · 252 citations

    4

    h-index

  2. ZL
    Zheng Li

    Florida International University, United States

    3 publications · 116 citations

    3

    h-index

  3. CS
    Chao Shen

    Florida International University, United States

    2 publications · 106 citations

    2

    h-index

  4. SC
    Shu‐Ching Chen

    Florida International University, United States

    2 publications · 106 citations

    2

    h-index

  5. LT
    Liang Tang

    Changsha Medical University, China

    2 publications · 106 citations

    2

    h-index

1–5 of 95

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 115 citations

    3

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Human-Machine Systems

    1 publications · 72 citations

    1

    h-index

  4. AIAA Scitech 2021 Forum

    1 publications · 14 citations

    1

    h-index

  5. Scientific Data

    1 publications · 58 citations

    1

    h-index

1–5