Peter J. Mucha

Statistical and Nonlinear Physics · 2004–2012

A researcher in the Science corpus: 10 papers; trusts 72 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 192 citations into it; #652 of 10,127 by trust here, #411 by citations
• Molecular Biology — 94 citations into it; #13,491 of 17,773 by trust here, #13,563 by citations
• Cognitive Neuroscience — 72 citations into it; #3,685 of 10,852 by trust here, #1,694 by citations
• Radiology, Nuclear Medicine and Imaging — 34 citations into it; #2,778 of 3,265 by trust here, #2,257 by citations
• Computer Networks and Communications — 33 citations into it
• Artificial Intelligence — 24 citations into it; #25,853 of 35,345 by trust here, #9,760 by citations
• Graph Learning — 22 citations into it
• Geometry and Topology — 19 citations into it

Whom Peter J. Mucha trusts overall

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

1. Mark Newman
2. Santo Fortunato
3. Aaron Clauset
4. Michelle Girvan
5. W. Arveson
6. Andrea Lancichinetti
7. Roger Guimerà
8. Alex Arenas
9. Steven H. Strogatz
10. D. Bassett

Who trusts Peter J. Mucha overall

1. D. Bassett
2. Olaf Sporns
3. Richard F. Betzel
4. Santo Fortunato
5. M. A. Porter
6. Manlio De Domenico
7. Giulio Rossetti
8. Mikko Kivelä
9. Michele Coscia
10. Naoki Masuda

Papers from Peter J. Mucha's perspective

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

1. The Structure and Function of Complex Networks
2. Exploring complex networks (Nature)
3. The Strength of Weak Ties
4. Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
5. Finding community structure in very large networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
6. Fast algorithm for detecting community structure in networks.
7. Fast unfolding of communities in large networks
8. Social Network Analysis: Methods and Applications
9. Collective dynamics of ‘small-world’ networks
10. Statistical mechanics of complex networks

Their papers

• Social Structure of Facebook Networks (2011) — 811 citations
• Core-Periphery Structure in Networks (2012) — 405 citations
• Comparing Community Structure to Characteristics in Online Collegiate Social Networks (2008) — 474 citations
• Robust Detection of Dynamic Community Structure in Networks (2012) — 481 citations
• Task-Based Core-Periphery Organization of Human Brain Dynamics (2012) — 362 citations
• Dynamic reconfiguration of human brain networks during learning (2010) — 1,682 citations
• Community Structure in Time-Dependent, Multiscale, and Multiplex Networks (2009) — 2,081 citations
• Communities in Networks (2009) — 1,108 citations
• Community Structure in Congressional Cosponsorship Networks (2007) — 186 citations
• Rigid fluid: animating the interplay between rigid bodies and fluid (2004) — 314 citations