Tiago P. Peixoto - Google Scholar Citations

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	All	Since 2014
Citations	1638	1438
h-index	21	18
i10-index	32	23

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Barbara DrosselInstitute of condensed matter physics, TU DarmstadtVerified email at fkp.tu-darmstadt.de
Stefan BornholdtProfessor of Theoretical Physics, University of Bremen Verified email at itp.uni-bremen.de
Yamir MorenoInstitute for Biocomputation and Physics of Complex Systems, University of Zaragoza, Zaragoza, SpainVerified email at unizar.es
Guilherme Ferraz de ArrudaISI FoundationVerified email at icmc.usp.br
Francisco A. RodriguesUniversidade de São PauloVerified email at icmc.usp.br
Carmen Pimentel Cintra do PradoProfessor do Instituto de Física, Universidade de São PauloVerified email at if.usp.br
Martin RosvallProfessor of Physics, Umeå UniversityVerified email at umu.se
Eduardo G. AltmannAssociate Professor, School of Mathematics and Statistics, University of SydneyVerified email at sydney.edu.au
Joern DavidsenUniversity of CalgaryVerified email at ucalgary.ca
Mark NewmanProfessor of Physics, University of MichiganVerified email at umich.edu
Santo FortunatoProfessor, School of Informatics and Computing, Indiana University, Bloomington, USAVerified email at indiana.edu
Darko Hricalumni of Department of Computer Science, Aalto University School of Science, FinlandVerified email at aalto.fi
Martin GerlachResearch Scientist, Wikimedia FoundationVerified email at wikimedia.org
Roger GuimeraICREA and Universitat Rovira i VirgiliVerified email at urv.cat
Marta Sales-PardoUniversitat Rovira i VirgiliVerified email at urv.cat
Christoph SchmalPostdoc, Charité - Universitätsmedizin BerlinVerified email at charite.de
Jorge C LeitãoMax Planck Institute for the Physics of Complex SystemsVerified email at pks.mpg.de
Sebastian M. KrauseUniversity of Duisburg-EssenVerified email at uni-due.de
Laetitia GauvinResearcher, ISI FoundationVerified email at isi.it

Tiago P. Peixoto

Central European University, ISI Foundation

Verified email at ceu.edu - Homepage

Networks Complex Systems Statistical Physics


Title	Cited by	Year
Hierarchical block structures and high-resolution model selection in large networks TP Peixoto Physical Review X 4 (1), 011047, 2014	190	2014
The graph-tool Python library TP Peixoto figshare, 2014	147*	2014
Parsimonious module inference in large networks TP Peixoto Physical review letters 110 (14), 148701, 2013	142	2013
Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models TP Peixoto Physical Review E 89 (1), 012804, 2014	98	2014
Inferring the mesoscale structure of layered, edge-valued, and time-varying networks TP Peixoto Physical Review E 92 (4), 042807, 2015	92	2015
Entropy of stochastic blockmodel ensembles TP Peixoto Physical Review E 85 (5), 056122, 2012	81	2012
Evolution of robust network topologies: Emergence of central backbones TP Peixoto, S Bornholdt Physical review letters 109 (11), 118703, 2012	66	2012
Model selection and hypothesis testing for large-scale network models with overlapping groups TP Peixoto Physical Review X 5 (1), 011033, 2015	65	2015
Generalized communities in networks MEJ Newman, TP Peixoto Physical review letters 115 (8), 088701, 2015	58	2015
Trust transitivity in social networks O Richters, TP Peixoto PloS one 6 (4), e18384, 2011	58	2011
Network structure, metadata, and the prediction of missing nodes and annotations D Hric, TP Peixoto, S Fortunato Physical Review X 6 (3), 031038, 2016	54	2016
Modelling sequences and temporal networks with dynamic community structures T P. Peixoto, M Rosvall Nature Communications 8, 582, 2017	50	2017
Disease localization in multilayer networks GF de Arruda, E Cozzo, TP Peixoto, FA Rodrigues, Y Moreno Physical Review X 7 (1), 011014, 2017	47	2017
Eigenvalue spectra of modular networks TP Peixoto Physical review letters 111 (9), 098701, 2013	45	2013
Bayesian stochastic blockmodeling TP Peixoto arXiv preprint arXiv:1705.10225, 2017	41	2017
Nonparametric Bayesian inference of the microcanonical stochastic block model TP Peixoto Physical Review E 95 (1), 012317, 2017	40	2017
Distribution of epicenters in the Olami-Feder-Christensen model TP Peixoto, CPC Prado Physical Review E 69 (2), 025101, 2004	33	2004
A network approach to topic models M Gerlach, TP Peixoto, EG Altmann Science advances 4 (7), eaaq1360, 2018	32	2018
Noise in random boolean networks TP Peixoto, B Drossel Physical Review E 79 (3), 036108, 2009	24	2009
Nonparametric weighted stochastic block models TP Peixoto Physical Review E 97 (1), 012306, 2018	22	2018

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