Francisco Aparecido Rodrigues

Statistical and Nonlinear Physics · 2005–2016

A researcher in the Science corpus: 5 papers; trusts 54 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 247 citations into it; #4,376 of 10,127 by trust here, #1,328 by citations
• Molecular Biology — 112 citations into it; #6,385 of 17,773 by trust here, #7,124 by citations
• Computer Networks and Communications — 85 citations into it
• Artificial Intelligence — 46 citations into it
• Cognitive Neuroscience — 34 citations into it
• Computational Theory and Mathematics — 25 citations into it
• Geometry and Topology — 23 citations into it
• Sociology and Political Science — 23 citations into it

Whom Francisco Aparecido Rodrigues trusts overall

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

1. Mark Newman
2. Steven H. Strogatz
3. Alex Arenas
4. Albert-László Barabási
5. Duncan J. Watts
6. Florian Dörfler
7. Michelle Girvan
8. Roger Guimerà
9. Réka Albert
10. Jordi Duch

Who trusts Francisco Aparecido Rodrigues overall

1. Rodolfo Baggio
2. Marcus Kaiser
3. M. Paier
4. Thilo Gross

Papers from Francisco Aparecido Rodrigues's perspective

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

1. Collective dynamics of ‘small-world’ networks
2. Statistical mechanics of complex networks
3. Emergence of Scaling in Random Networks
4. Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
5. The Structure and Function of Complex Networks
6. Graph structure in the Web (Comput. Networks)
7. Exploring complex networks (Nature)
8. Social Network Analysis: Methods and Applications
9. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
10. Classes of small-world networks. (Proceedings of the National Academy of Sciences of the United States of America)

Their papers

• Characterization of complex networks: A survey of measurements (2005) — 2,367 citations
• Clustering algorithms: A comparative approach (2016) — 543 citations
• Keystone species in seed dispersal networks are mainly determined by dietary specialization (2015) — 164 citations
• The Kuramoto model in complex networks (2015) — 953 citations
• Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007) — 764 citations