Filippo Radicchi
Physics and Astronomy · Indiana University
Publications
168
Citations
15,656
Est. group size
—
Recurring co-author estimate
Active years
23
Publishing since 2004
Filippo Radicchi studies complex networks\u2014mathematical models of systems made of many interconnected parts, such as social media, transportation systems, and biological networks. His work develops methods to understand how these networks behave, how robust they are to failures, and how to detect patterns or communities within them, often combining statistical physics with machine learning tools. Recent projects range from modeling air transportation and online attention to using deep learning to analyze network structure.
Publication activity has been steady over the past decade, averaging around nine papers per year, with a notable peak in 2023.
Generated by claude-opus-4-8 from public bibliographic data · Jul 9, 2026
No award with a current end date on record.
2 earlier awards
- NSF 1552487Jan 2016 – Aug 2021 · $500k awarded
CAREER: Network Theory of Critical Interdependent Infrastructures
- NSF 1446078Sep 2014 – Aug 2016 · $178k awarded
EAGER: Big Science Survey
Matched to public NIH RePORTER and NSF records by name and institution. Awards from other agencies are not shown, and a match is not always found — this list may be incomplete.
Typically publishes in teams of ~3 · 59% small-team papers (≤3 authors) · across 27 venues
- Task complexity shapes internal representations and robustness in neural networks
Machine Learning Science and Technology · 2026
- Parallel median consensus clustering in complex networks
Scientific Reports · 2025
- Topology shapes dynamics of higher-order networks
Nature Physics · 2025
- Deep-learning-aided dismantling of interdependent networks
Nature Machine Intelligence · 2025
- Triadic percolation on multilayer networks
Physical review. E · 2025
- Modeling resource consumption in the US air transportation system via minimum-cost percolation
Nature Communications · 2025
- Efficient inference of rankings from multibody comparisons
Physical review. E · 2025
- Efficient inference of rankings from multi-body comparisons
arXiv (Cornell University) · 2025
- Modeling individual attention dynamics on online social media
arXiv (Cornell University) · 2025
- Robustness and resilience of complex networks
Nature Reviews Physics · 2024
- Shortest-Path Percolation on Random Networks
Physical Review Letters · 2024
- Reconstruction of multiplex networks via graph embeddings
Physical review. E · 2024
- Symmetry breaking in optimal transport networks
Nature Communications · 2024
- Parallel Algorithms for Median Consensus Clustering in Complex Networks
arXiv (Cornell University) · 2024
- Network community detection via neural embeddings
Nature Communications · 2024
- Physical review. E×24
- arXiv (Cornell University)×20
- Nature Communications×7
- Zenodo (CERN European Organization for Nuclear Research)×5
- Physical Review X×3
- Santo Fortunato
Physics and Astronomy · Indiana University
- Sadamori Kojaku
Physics and Astronomy · Indiana University
- Filipi N. Silva
Physics and Astronomy · Indiana University
- Ethan Fridmanski
Physics and Astronomy · Indiana University
- David Aleja
Physics and Astronomy · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Sep 1, 2026.
Claim or correct this profile