Spike Detection

Spike Detection is a data quality control methodology used in elevation data analysis that identifies anomalous height values significantly deviating from their local neighborhood, distinguishing it from other error detection techniques by focusing specifically on isolated, sharp discrepancies indicative of measurement or processing errors.

653

Publications

40.1K

Citations

2.8K

Authors

970

Institutions

Publications per year

2017–2026

218

Authors

2.8K

  1. TG
    Timothy G. Constandinou

    Imperial College London, United Kingdom

    11 publications · 426 citations

    10

    h-index

  2. ZY
    Zhi Yang

    University of California, Santa Cruz, United States

    8 publications · 529 citations

    8

    h-index

  3. JG
    Jean Gotman

    Montreal Neurological Institute and Hospital, Canada

    8 publications · 560 citations

    8

    h-index

  4. HH
    Hamid Hassanpour

    University of Shahrood, Iran

    6 publications · 109 citations

    6

    h-index

  5. AM
    Awais M. Kamboh

    National University of Sciences and Technology, Pakistan

    6 publications · 195 citations

    6

    h-index

1–5 of 2.8K

Venues

  1. Journal of Neuroscience Methods

    40 publications · 2.5K citations

    27

    h-index

  2. IEEE Transactions on Biomedical Engineering

    24 publications · 2.2K citations

    21

    h-index

  3. Journal of Neural Engineering

    21 publications · 845 citations

    16

    h-index

  4. Clinical Neurophysiology

    14 publications · 1K citations

    14

    h-index

  5. 14

    h-index

1–5