Jukka-Pekka Onnela
Statistical and Nonlinear Physics · 2002–2018
A researcher in the Science corpus: 15 papers; trusts 43 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 130 citations into it; #530 of 10,127 by trust here, #112 by citations
- Molecular Biology — 51 citations into it; #6,151 of 17,773 by trust here, #8,182 by citations
- Computer Networks and Communications — 32 citations into it
- Artificial Intelligence — 17 citations into it; #22,499 of 35,345 by trust here, #12,244 by citations
- Geometry and Topology — 16 citations into it
- Experimental and Cognitive Psychology — 14 citations into it; #951 of 9,731 by trust here, #949 by citations
- Computational Theory and Mathematics — 12 citations into it; #8,747 of 12,182 by trust here, #3,681 by citations
- Transportation — 11 citations into it; #1,256 of 2,062 by trust here, #85 by citations
Whom Jukka-Pekka Onnela trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Santo Fortunato
- Aaron Clauset
- Michelle Girvan
- Duncan J. Watts
- Albert-László Barabási
- Guojun Gan
- Hirotugu Akaike
- Réka Albert
- Steven H. Strogatz
Who trusts Jukka-Pekka Onnela overall
- Raphael Heiko Heiberger
- Gangjin Wang
- M. A. Porter
- D. Bassett
- Santo Fortunato
- Olaf Sporns
- Chi Xie
- Nicholas A. Christakis
- Giorgio Fagiolo
- Luciano da Fontoura Costa
Papers from Jukka-Pekka Onnela's perspective
Ordered by how strongly the researchers Jukka-Pekka Onnela trusts endorse each paper. Same corpus, a different order for every researcher.
- The Structure and Function of Complex Networks
- Graph structure in the Web (Comput. Networks)
- Collective dynamics of ‘small-world’ networks
- Mixing patterns in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Statistical mechanics of complex networks
- Exploring complex networks (Nature)
- Social Network Analysis: Methods and Applications
- Evolution of Networks: From Biological Nets to the Internet and WWW
- The Strength of Weak Ties
- Scale-free topology of e-mail networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
Their papers
- Understanding the Demographics of Twitter Users (2011) — 920 citations
- Generalizations of the clustering coefficient to weighted complex networks. (2006) — 696 citations
- Intensity and coherence of motifs in weighted complex networks. (2004) — 1,049 citations
- Dynamics of market correlations: taxonomy and portfolio analysis. (2003) — 730 citations
- Clustering and information in correlation based financial networks (2003) — 373 citations
- Dynamic asset trees and Black Monday (2002) — 294 citations
- Dynamic asset trees and portfolio analysis (2002) — 198 citations
- Relapse prediction in schizophrenia through digital phenotyping: a pilot study (2018) — 341 citations
- New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research (2016) — 671 citations
- Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health (2016) — 616 citations
- Geographic Constraints on Social Network Groups (2010) — 350 citations
- Community Structure in Time-Dependent, Multiscale, and Multiplex Networks (2009) — 2,081 citations
- Communities in Networks (2009) — 1,108 citations
- Analysis of a large-scale weighted network of one-to-one human communication (2007) — 398 citations
- Structure and tie strengths in mobile communication networks (2006) — 1,957 citations