Antonios Garas

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Frank SchweitzerProfessor, ETH ZurichAdresse e-mail validée de ethz.ch
Ingo ScholtesFull Professor of Data Analytics at University of Wuppertal, SNSF Professor at University of ZurichAdresse e-mail validée de uni-wuppertal.de
Rene PfitznerNeue Zürcher Zeitung, formerly ETH ZurichAdresse e-mail validée de ethz.ch
David GarciaProfessor at the Faculty of Computer Science and Biomedical Engineering, TU Graz and CSH ViennaAdresse e-mail validée de ethz.ch
Claudio J. TessoneAssistant Professor of Network Science, Universität ZürichAdresse e-mail validée de uzh.ch
Panos ArgyrakisProfessor of Physics, University of ThessalonikiAdresse e-mail validée de physics.auth.gr
Shlomo HavlinProfessor of Physics, Bar-Ilan UniversityAdresse e-mail validée de ophir.ph.biu.ac.il
Athanasios LapatinasUniversity of IoanninaAdresse e-mail validée de cc.uoi.gr
Céline RozenblatUniversité de LausanneAdresse e-mail validée de unil.ch
Marco TomassiniProfessor of Computer Science, Faculty of Business and Economics (HEC), University of LausanneAdresse e-mail validée de unil.ch
Rebekka BurkholzHarvard UniversityAdresse e-mail validée de hsph.harvard.edu
Marcin SkowronResearch Scientist | Austrian Research Institute for AI | Johannes Kepler UniversityAdresse e-mail validée de ofai.at
Vahan NanumyanData scientist, GoogleAdresse e-mail validée de nanumyan.com
Arvid KappasJacobs University BremenAdresse e-mail validée de jacobs-university.de
peter kuppensProfessor, KU Leuven - University of LeuvenAdresse e-mail validée de ppw.kuleuven.be
Dennis KüsterPostdoctoral Researcher at University BremenAdresse e-mail validée de uni-bremen.de

Antonios Garas

Senior Researcher, ETH Zurich

Adresse e-mail validée de ethz.ch - Page d'accueil

Complex Systems Complex Networks Network Science Economic Networks Statistical Physics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Causality-driven slow-down and speed-up of diffusion in non-Markovian temporal networks I Scholtes, N Wider, R Pfitzner, A Garas, CJ Tessone, F Schweitzer Nature communications 5, 2014	231	2014
A k-shell decomposition method for weighted networks A Garas, F Schweitzer, S Havlin New Journal of Physics 14 (8), 083030, 2012	217	2012
Worldwide spreading of economic crisis A Garas, P Argyrakis, C Rozenblat, M Tomassini, S Havlin New Journal of Physics 12, 113043, 2010	162	2010
Predicting Scientific Success Based on Coauthorship Networks E Sarigöl, R Pfitzner, I Scholtes, A Garas, F Schweitzer EPJ Data Science 3, 9, 2014	158	2014
Emotional persistence in online chatting communities A Garas, D Garcia, M Skowron, F Schweitzer Scientific Reports 2, 402, 2012	144	2012
Betweenness Preference: Quantifying Correlations in the Topological Dynamics of Temporal Networks R Pfitzner, I Scholtes, A Garas, CJ Tessone, F Schweitzer Physical Review Letters 110 (19), 198701, 2013	139	2013
Correlation study of the Athens stock exchange A Garas, P Argyrakis Physica A: Statistical Mechanics and its Applications 380, 399-410, 2007	122	2007
Positive words carry less information than negative words D Garcia, A Garas, F Schweitzer EPJ Data Science 1, 3, 2012	110	2012
Emotional divergence influences information spreading in twitter R Pfitzner, A Garas, F Schweitzer Proceedings of the International AAAI Conference on Web and Social Media 6 (1), 2012	102	2012
The rise and fall of R&D networks MV Tomasello, M Napoletano, A Garas, F Schweitzer Industrial and Corporate Change, dtw041, 2016	82	2016
The structural role of weak and strong links in a financial market network A Garas, P Argyrakis, S Havlin The European Physical Journal B-Condensed Matter and Complex Systems 63 (2 …, 2008	81	2008
Higher-Order Aggregate Networks in the Analysis of Temporal Networks: Path structures and centralities I Scholtes, N Wider, A Garas The European Physical Journal B 89 (3), 1--15, 2016	67	2016
Systemic risk in multiplex networks with asymmetric coupling and threshold feedback R Burkholz, MV Leduc, A Garas, F Schweitzer Physica D: Nonlinear Phenomena 323, 64-72, 2016	37	2016
How Damage Diversification Can Reduce Systemic Risk R Burkholz, A Garas, F Schweitzer Physical Review E 93 (4), 042313, 2016	29	2016
Interconnected networks A Garas Springer, 2016	29	2016
How big is too big? Critical Shocks for Systemic Failure Cascades CJ Tessone, A Garas, B Guerra, F Schweitzer Journal of Statistical Physics, 765-783, 2013	24	2013
The relation between migration and FDI in the OECD from a complex network perspective A Garas, A Lapatinas, K Poulios Advances in Complex Systems 19, 1650009, 2016	19	2016
Value of peripheral nodes in controlling multilayer scale-free networks Y Zhang, A Garas, F Schweitzer Physical Review E 93 (1), 012309, 2016	18	2016
Economic Complexity and Environmental Performance: Evidence from a World Sample E Boleti, A Garas, A Kyriakou, A Lapatinas Environmental Modeling & Assessment, 1-20, 2021	17*	2021
A network approach for the scientific collaboration in the European Framework Programs A Garas, P Argyrakis EPL (Europhysics Letters) 84, 68005, 2008	17	2008

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