Henning Meyerhenke

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Christian SchulzProfessor of Computer Science, Heidelberg UniversityEmail verificata su informatik.uni-heidelberg.de
Peter SandersProfessor of Computer Science, Karlsruhe Institute of TechnologyEmail verificata su kit.edu
David A. BaderDistinguished Professor, New Jersey Institute of TechnologyEmail verificata su njit.edu
Ilya SafroAssociate Professor of Computer Science, University of DelawareEmail verificata su udel.edu
Dorothea WagnerProfessor of Computer Science, Karlsruhe Institute of Technology (KIT)Email verificata su kit.edu
Alexander van der GrintenHumboldt-Universität zu BerlinEmail verificata su hu-berlin.de
Eugenio AngrimanHumboldt University of BerlinEmail verificata su informatik.hu-berlin.de
Jason RiedyPrinciple Member of Technical Staff, AMDEmail verificata su acm.org
Aydın BuluçLawrence Berkeley National Laboratory and UC BerkeleyEmail verificata su lbl.gov
Moritz von LoozEuropean Space AgencyEmail verificata su esa.int
Burkhard MonienProfessor für InformatikEmail verificata su upb.de
Timothy G MattsonHuman Learning GroupEmail verificata su timmattson.com
John R. GilbertProfessor Emeritus of Computer Science, University of California at Santa BarbaraEmail verificata su cs.ucsb.edu
Jeremy KepnerMIT Lincoln Laboratory Supercomputing CenterEmail verificata su ll.mit.edu
Michael HamannXWiki SASEmail verificata su xwiki.com
Thomas SauerwaldUniversity Lecturer in Computer Science, University of CambridgeEmail verificata su cl.cam.ac.uk
Aleksejs SazonovsWellcome Trust Sanger InstituteEmail verificata su sanger.ac.uk
Martin NöllenburgProfessor, Algorithms and Complexity Group, TU WienEmail verificata su ac.tuwien.ac.at
Andrew LumsdaineUniversity of Washington; Pacific Northwest National LaboratoryEmail verificata su uw.edu
Jose MoreiraResearch Staff Member, IBMEmail verificata su us.ibm.com

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Henning Meyerhenke

Professor of Computer Science, HU Berlin

Email verificata su hu-berlin.de - Home page

Scalable graph algorithms algorithmic network analysis combinatorial scientific computing


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Recent advances in graph partitioning A Buluç, H Meyerhenke, I Safro, P Sanders, C Schulz Algorithm Engineering, LNCS 9220, 2013	631	2013
Graph partitioning and graph clustering DA Bader, H Meyerhenke, P Sanders, D Wagner American Mathematical Soc., 2013	361*	2013
NetworKit: A Tool Suite for Large-scale Complex Network Analysis CL Staudt, A Sazonovs, H Meyerhenke Network Science, 2016	345*	2016
Mathematical foundations of the GraphBLAS J Kepner, P Aaltonen, D Bader, A Buluç, F Franchetti, J Gilbert, ... HPEC 2016, also as arXiv preprint arXiv:1606.05790, 2016	299	2016
Parallel graph partitioning for complex networks H Meyerhenke, P Sanders, C Schulz IEEE Transactions on Parallel and Distributed Systems 28 (9), 2625-2638, 2017	193	2017
Benchmarking for Graph Clustering and Partitioning DA Bader, A Kappes, H Meyerhenke, P Sanders, C Schulz, D Wagner Encyclopedia of Social Network Analysis and Mining, 2014	192	2014
Engineering Parallel Algorithms for Community Detection in Massive Networks C Staudt, H Meyerhenke IEEE Transaction on Parallel and Distributed Systems 27 (1), 171-184, 2016	180	2016
A new diffusion-based multilevel algorithm for computing graph partitions H Meyerhenke, B Monien, T Sauerwald Journal of Parallel and Distributed Computing 69 (9), 750-761, 2009	142*	2009
Partitioning (hierarchically clustered) complex networks via size-constrained graph clustering H Meyerhenke, P Sanders, C Schulz Journal of Heuristics 22, 759-782, 2016	109*	2016
Parallel community detection for massive graphs EJ Riedy, H Meyerhenke, D Ediger, DA Bader Parallel Processing and Applied Mathematics: 9th International Conference …, 2012	101	2012
Graphs, Matrices, and the GraphBLAS: Seven Good Reasons J Kepner, DA Bader, A Buluç, J Gilbert, T Mattson, H Meyerhenke arXiv preprint arXiv:1504.01039, 2015	87	2015
Approximating betweenness centrality in large evolving networks E Bergamini, H Meyerhenke, CL Staudt SIAM ALENEX 2015, 2015	84	2015
Scalable Multi-threaded Community Detection in Social Networks J Riedy, DA Bader, H Meyerhenke Intl. Parallel & Distributed Processing Symposium Workshops (IPDPSW 2012), 2012	79	2012
k-way Hypergraph Partitioning via n-Level Recursive Bisection S Schlag, V Henne, T Heuer, H Meyerhenke, P Sanders, C Schulz ALENEX 2016, 2015	76	2015
Engineering high-performance community detection heuristics for massive graphs CL Staudt, H Meyerhenke 2013 42nd International Conference on Parallel Processing, 180-189, 2013	73	2013
Graph partitioning and disturbed diffusion H Meyerhenke, B Monien, S Schamberger Parallel Computing 35 (10-11), 544-569, 2009	72	2009
Computing Top-k Closeness Centrality Faster in Unweighted Graphs E Bergamini, M Borassi, P Crescenzi, A Marino, H Meyerhenke SIAM Algorithms and Experiments (ALENEX 2016), 2016	68	2016
Tracking structure of streaming social networks D Ediger, J Riedy, DA Bader, H Meyerhenke 2011 IEEE International Symposium on Parallel and Distributed Processing …, 2011	68	2011
Improving the betweenness centrality of a node by adding links E Bergamini, P Crescenzi, G D'angelo, H Meyerhenke, L Severini, Y Velaj Journal of Experimental Algorithmics (JEA) 23, 1-32, 2018	61	2018
Generating random hyperbolic graphs in subquadratic time M von Looz, H Meyerhenke, R Prutkin International Symposium on Algorithms and Computation, 467-478, 2015	60*	2015

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