Maxime Lucas

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 105 citations into it
• Molecular Biology — 35 citations into it
• Computational Theory and Mathematics — 31 citations into it
• Computer Networks and Communications — 30 citations into it
• Geometry and Topology — 19 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Mathematical Physics — 15 citations into it
• Biophysics — 7 citations into it

Whom Maxime Lucas trusts overall

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

1. Mark Newman
2. Albert-László Barabási
3. Duncan J. Watts

Papers from Maxime Lucas's perspective

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

1. Emergence of Scaling in Random Networks
2. The Structure and Function of Complex Networks
3. Statistical mechanics of complex networks
4. Epidemic spreading in scale-free networks. (Physical Review Letters)
5. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
6. A simple model of global cascades on random networks (Proceedings of the National Academy of Sciences of the United States of America)
7. Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
8. Modularity and community structure in networks.
9. The Strength of Weak Ties
10. Network motifs in the transcriptional regulation network of Escherichia coli (Nature Genetics)

Their papers

• Networks beyond pairwise interactions: structure and dynamics (2020) — 1,652 citations