Statistical Anomaly Detection
Statistical Anomaly Detection is a methodological framework within statistical analysis that identifies rare or irregular patterns in electoral data deviating significantly from expected behavior under normal voting processes, thereby signaling potential instances of election fraud.
178
Publications
7.9K
Citations
562
Authors
267
Institutions
Publications per year
2017–2026
72
Parents
178
1–5 of 178
562
5
h-index
Egypt-Japan University of Science and Technology, Egypt
5 publications · 435 citations
5
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4
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3
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3
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1–5 of 562
267

Egypt-Japan University of Science and Technology
Alexandria, Egypt
4 h-index
7 publications
705 citations

Alexandria University
Alexandria, Egypt
4 h-index
9 publications
842 citations

The University of Melbourne
Melbourne, Australia
3 h-index
6 publications
204 citations
The University of Tokyo
Tokyo, Japan
3 h-index
9 publications
330 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
254 citations

UNSW Sydney
Sydney, Australia
3 h-index
6 publications
1.2K citations

Beihang University
Beijing, China
3 h-index
9 publications
142 citations
Boston University
Boston, United States
3 h-index
5 publications
271 citations
1–8 of 267
Repository · 8 publications · 200 citations
8
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5 publications · 358 citations
5
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2 publications · 156 citations
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FGCS · 2 publications · 521 citations
2
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2 publications · 55 citations
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