Luciano da Fontoura Costa

Statistical and Nonlinear Physics · 2005–2018

A researcher in the Science corpus: 4 papers; trusts 44 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 199 citations into it; #4,373 of 10,127 by trust here, #1,328 by citations
• Molecular Biology — 99 citations into it; #6,380 of 17,773 by trust here, #7,124 by citations
• Computer Networks and Communications — 52 citations into it
• Artificial Intelligence — 50 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Computational Theory and Mathematics — 20 citations into it
• Sociology and Political Science — 19 citations into it
• Geometry and Topology — 17 citations into it

Whom Luciano da Fontoura Costa trusts overall

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

1. Mark Newman
2. Albert-László Barabási
3. Roger Guimerà
4. Romualdo Pastor-Satorras
5. Duncan J. Watts
6. Réka Albert
7. Michelle Girvan
8. Steven H. Strogatz
9. Alessandro Vespignani
10. A. Vázquez

Who trusts Luciano da Fontoura Costa overall

1. Rodolfo Baggio
2. Marcus Kaiser
3. M. Paier
4. Thilo Gross
5. Chris Cooper
6. Ernesto Estrada
7. D. Bassett
8. Claus C. Hilgetag
9. Bernd Blasius
10. Thomas Scherngell

Papers from Luciano da Fontoura Costa's perspective

Ordered by how strongly the researchers Luciano da Fontoura Costa 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. The Structure and Function of Complex Networks
5. Graph structure in the Web (Comput. Networks)
6. Assortative mixing in networks. (Physical Review Letters)
7. Classes of small-world networks. (Proceedings of the National Academy of Sciences of the United States of America)
8. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
9. Social Network Analysis: Methods and Applications
10. Community structure in social and biological 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
• Principal Component Analysis (2018) — 356 citations
• Clustering algorithms: A comparative approach (2016) — 543 citations
• Analyzing and modeling real-world phenomena with complex networks: a survey of applications (2007) — 764 citations