Federico Battiston

Statistical and Nonlinear Physics · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 128 citations into it; #8,497 of 10,127 by trust here, #3,010 by citations
• Sociology and Political Science — 64 citations into it
• Molecular Biology — 42 citations into it
• Computer Networks and Communications — 38 citations into it
• Computational Theory and Mathematics — 34 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Geometry and Topology — 18 citations into it; #6,534 of 7,422 by trust here, #3,228 by citations
• Mathematical Physics — 16 citations into it

Whom Federico Battiston trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark Newman
2. Albert-László Barabási
3. Duncan J. Watts
4. Gunnar E. Carlsson
5. Hiroya Nakao
6. Martin A. Nowak
7. Matthew Kahle
8. Wulfram Gerstner
9. Garry Robins
10. Attila Szolnoki

Who trusts Federico Battiston overall

1. Manlio De Domenico
2. Mikko Kivelä
3. Alex Arenas
4. S. Majhi
5. M. A. Porter

Papers from Federico Battiston's perspective

Ordered by how strongly the researchers Federico Battiston trusts endorse each paper. Same corpus, a different order for every researcher.

1. Emergence of Scaling in Random Networks
2. Statistical mechanics of complex networks
3. The Structure and Function of Complex Networks
4. Collective dynamics of ‘small-world’ networks
5. Epidemic spreading in scale-free networks. (Physical Review Letters)
6. Social Network Analysis: Methods and Applications
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. A simple model of global cascades on random networks (Proceedings of the National Academy of Sciences of the United States of America)
9. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
10. Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)

Their papers

• Evolutionary dynamics of higher-order interactions in social networks (2020) — 545 citations
• The physics of higher-order interactions in complex systems (2021) — 901 citations
• Networks beyond pairwise interactions: structure and dynamics (2020) — 1,652 citations
• Structural measures for multiplex networks. (2013) — 664 citations