Michael T. Schaub

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Mauricio BarahonaImperial College London, Mathematics, Professor of Applied Mathematics, Chair in BiomathematicsEmail verificata su imperial.ac.uk
Jean-Charles DelvenneProfessor of Applied Mathematics, Université catholique de LouvainEmail verificata su uclouvain.be
Renaud LambiotteProfessor of Networks and Nonlinear Systems, University of OxfordEmail verificata su maths.ox.ac.uk
Santiago SegarraAssistant Professor, Electrical and Computer Engineering, Rice UniversityEmail verificata su rice.edu
Ali JadbabaieJR East Professor of Engineering, MITEmail verificata su mit.edu
Austin R BensonEmail verificata su deshaw.com
Sophia YalirakiProfessor of Theoretical Chemistry, Department of Chemistry, Imperial College LondonEmail verificata su imperial.ac.uk
Vladimir KiselevHead of Bioinformatics @ AlethiomicsEmail verificata su alethiomics.com
Martin HembergBrigham and Women's HospitalEmail verificata su bwh.harvard.edu
Kristina KirschnerUniversity of Glasgow/ CRUK Beatson InstituteEmail verificata su glasgow.ac.uk
Wolf ReikHead, Epigenetics Programme, Babraham Institute Cambridge, UKEmail verificata su babraham.ac.uk
T. Mitchell RoddenberryGraduate student, Rice UniversityEmail verificata su rice.edu
Martin RosvallProfessor of Physics, Umeå UniversityEmail verificata su umu.se
Jon KleinbergProfessor of Computer Science, Cornell UniversityEmail verificata su cs.cornell.edu
Rediet AbebeHarvard Society of FellowsEmail verificata su fas.harvard.edu
Leonie NeuhäuserRWTH Aachen University, Computational Network ScienceEmail verificata su cs.rwth-aachen.de
Yu ZhuPhD, Electrical and Computer Engineering, Rice UniversityEmail verificata su rice.edu
Paul HornAssociate Professor of Mathematics, University of DenverEmail verificata su du.edu
Gabor P LippnerAssociate Professor, Northeastern UniversityEmail verificata su northeastern.edu
Costas AnastassiouProfessor, Cedars-Sinai Medical CenterEmail verificata su cshs.org

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Michael T. Schaub

RWTH Aachen University

Email verificata su mit.edu - Home page

Networks Applied Dynamical Systems Neuroscience Data Science Graph Signal Processing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
SC3: consensus clustering of single-cell RNA-Seq data VY Kiselev, K Kirschner, MT Schaub, T Andrews, A Yiu, T Chandra, ... Nature Methods 14 (5), 483-486, 2017	1097	2017
Simplicial closure and higher-order link prediction AR Benson, R Abebe, MT Schaub, A Jadbabaie, J Kleinberg Proceedings of the National Academy of Sciences 115 (48), E11221-E11230, 2018	310	2018
Markov dynamics as a zooming lens for multiscale community detection: non clique-like communities and the field-of-view limit MT Schaub, JC Delvenne, SN Yaliraki, M Barahona PloS one 7 (2), e32210, 2012	199	2012
Random walks on simplicial complexes and the normalized Hodge 1-Laplacian MT Schaub, AR Benson, P Horn, G Lippner, A Jadbabaie SIAM Review 62 (2), 353-391, 2020	156	2020
The many facets of community detection in complex networks MT Schaub, JC Delvenne, M Rosvall, R Lambiotte Applied Network Science 2 (1), 4, 2017	154	2017
Graph partitions and cluster synchronization in networks of oscillators MT Schaub, N O'Clery, YN Billeh, JC Delvenne, R Lambiotte, M Barahona Chaos: An Interdisciplinary Journal of Nonlinear Science 26 (9), 094821, 2016	142	2016
The stability of a graph partition: A dynamics-based framework for community detection JC Delvenne, MT Schaub, SN Yaliraki, M Barahona Dynamics On and Of Complex Networks, Volume 2: Applications to Time-Varying …, 2013	97*	2013
Prediction of allosteric sites and mediating interactions through bond-to-bond propensities BRC Amor, MT Schaub, SN Yaliraki, M Barahona Nature Communications 7 (12477), 2016	77	2016
Encoding dynamics for multiscale community detection: Markov time sweeping for the map equation MT Schaub, R Lambiotte, M Barahona Physical Review E 86 (2), 026112, 2012	76	2012
Centrality measures for graphons: Accounting for uncertainty in networks M Avella-Medina, F Parise, M Schaub, S Segarra IEEE Transactions on Network Science and Engineering, 2018	71	2018
What are higher-order networks? C Bick, E Gross, HA Harrington, MT Schaub arXiv preprint arXiv:2104.11329, 2021	67	2021
Using higher-order Markov models to reveal flow-based communities in networks V Salnikov, MT Schaub, R Lambiotte Scientific reports 6 (1), 1-13, 2016	58	2016
Signal processing on higher-order networks: Livin’on the edge... and beyond MT Schaub, Y Zhu, JB Seby, TM Roddenberry, S Segarra Signal Processing 187, 108149, 2021	57	2021
Flow smoothing and denoising: Graph signal processing in the edge-space MT Schaub, S Segarra 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018	55	2018
Graph-based semi-supervised & active learning for edge flows J Jia, MT Schaub, S Segarra, AR Benson Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019	54	2019
Structure of complex networks: Quantifying edge-to-edge relations by failure-induced flow redistribution MT Schaub, J Lehmann, SN Yaliraki, M Barahona Network Science 2 (1), 66-89, 2014	53	2014
Emergence of Slow-Switching Assemblies in Structured Neuronal Networks MT Schaub, YN Billeh, CA Anastassiou, C Koch, M Barahona PLoS Computational Biology 11 (7), e1004196, 2015	48	2015
Multiscale dynamical embeddings of complex networks MT Schaub, JC Delvenne, R Lambiotte, M Barahona Physical Review E 99 (6), 062308, 2019	44	2019
Flow-based network analysis of the Caenorhabditis elegans connectome KA Bacik, MT Schaub, M Beguerisse-Díaz, YN Billeh, M Barahona PLoS Comput Biol 12 (8), e1005055, 2016	44	2016
Different approaches to community detection M Rosvall, JC Delvenne, MT Schaub, R Lambiotte Advances in network clustering and blockmodeling, 105-119, 2019	43	2019

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