Tomaso Aste
Scholar

Tomaso Aste

Google Scholar ID: 27pUbTUAAAAJ
Professor of Complexity Science - University College London
Complex SystemsInformation FilteringNetwork ScienceEconophysicsData-driven Modeling
Citations & Impact
All-time
Citations
6,466
 
H-index
42
 
i10-index
95
 
Publications
20
 
Co-authors
35
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
  • Professor of Complexity Science
  • Head of Financial Computing & Analytics Group
  • Director of UCL Centre for Blockchain Technologies
  • Applies methods from statistical physics and network theory to study financial markets, banking systems, and complex systems in general
  • Expertise includes: data analytics, quantification of risk, network theory, complex systems, statistics, statistical physics, financial mathematics, FinTech