Address Clustering is a forensic analysis technique in blockchain investigation that groups cryptocurrency addresses into entities or wallets based on transactional patterns and heuristic assumptions to infer ownership and trace illicit financial flows.
24
Publications
993
Citations
71
Authors
41
Institutions
Publications per year
2017–2026
17
Parents
Publications
24
Automatic Bitcoin Address Clustering
Dmitry Ermilov, Maxim Panov, Yury Yanovich · 2017 · 127 citations
The Unreasonable Effectiveness of Address Clustering
2016 · 102 citations · Full text
The evolution of the bitcoin economy
Paolo Tasca, Adam Hayes, Shaowen Liu · The Journal of Risk Finance · 2018 · 93 citations
1–5 of 24
Authors
71
- MP
2
h-index
- SL
2
h-index
- EM
2
h-index
- AM
2
h-index
- PT
2
h-index
1–5 of 71
Institutions
41
Politecnico di Torino
Turin, Italy
2 h-index
4 publications
60 citations
University of Verona
Verona, Italy
2 h-index
2 publications
30 citations
University College London
London, United Kingdom
2 h-index
1 publications
93 citations
Beihang University
Beijing, China
2 h-index
6 publications
258 citations
China University of Political Science and Law
Beijing, China
1 h-index
1 publications
54 citations
Shanghai University of International Business and Economics
Shanghai, China
1 h-index
4 publications
104 citations
National Computer Network Emergency Response Technical Team/Coordination Center of Chinar
Beijing, China
1 h-index
3 publications
87 citations
Synopsys (Switzerland)
Zurich, Switzerland
1 h-index
1 publications
71 citations
1–8 of 41
Venues
- IEEE Access
2 publications · 86 citations
2
h-index
- Science China Information Sciences
1 publications · 54 citations
1
h-index
- PORTO Publications Open Repository TOrino (Politecnico di Torino)
Repository · 1 publications · 18 citations
1
h-index
- IEEE Transactions on Computational Social Systems
1 publications · 26 citations
1
h-index
- Information
1 publications · 22 citations
1
h-index
1–5