Burst Detection Algorithms

Burst Detection Algorithms is a computational methodology in high-energy astrophysics that identifies transient gamma-ray bursts by distinguishing significant signal fluctuations from background noise through automated, real-time analysis of data streams from space-based observatories.

213

Publications

10.3K

Citations

2.2K

Authors

502

Institutions

Publications per year

2017–2026

88

Authors

2.2K

  1. SK
    S. Klimenko

    University of Florida, United States

    7 publications · 372 citations

    7

    h-index

  2. KL
    Kevin Lansey

    University of Arizona, United States

    6 publications · 153 citations

    6

    h-index

  3. DJ
    Donghwi Jung

    Korea University, South Korea

    6 publications · 156 citations

    6

    h-index

  4. SM
    Seyed Mohammad Jafar Jalali

    Deakin University, Australia

    6 publications · 140 citations

    6

    h-index

  5. IR
    Iman Raeesi Vanani

    Allameh Tabataba'i University, Iran

    5 publications · 104 citations

    5

    h-index

1–5 of 2.2K

Venues

  1. The Astrophysical Journal

    ApJ · 12 publications · 598 citations

    12

    h-index

  2. Classical and Quantum Gravity

    13 publications · 833 citations

    12

    h-index

  3. 10

    h-index

  4. Physical review. D/Physical review. D.

    PRD · 4 publications · 213 citations

    4

    h-index

  5. 4

    h-index

1–5