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
653
Despiking Acoustic Doppler Velocimeter Data
Derek G. Goring, Vladimir Nikora · Journal of Hydraulic Engineering · 2002 · 1.7K citations
1–5 of 653
2.8K
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8
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6
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National University of Sciences and Technology, Pakistan
6 publications · 195 citations
6
h-index
1–5 of 2.8K
970

Imperial College London
London, United Kingdom
14 h-index
68 publications
2.6K citations

Centre National de la Recherche Scientifique
Paris, France
13 h-index
32 publications
1.7K citations

Howard Hughes Medical Institute
Chevy Chase, United States
10 h-index
12 publications
2.3K citations

Chinese Academy of Sciences
Beijing, China
10 h-index
45 publications
1.3K citations
Columbia University
New York, United States
9 h-index
34 publications
2.8K citations
University College London
London, United Kingdom
9 h-index
47 publications
2.8K citations
Nanyang Technological University
Singapore, Singapore
9 h-index
36 publications
1.2K citations

Johns Hopkins University
Baltimore, United States
9 h-index
28 publications
1.7K citations
1–8 of 970
40 publications · 2.5K citations
27
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24 publications · 2.2K citations
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21 publications · 845 citations
16
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14 publications · 1K citations
14
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14 publications · 696 citations
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1–5