George Karypis

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	All	Since 2016
Citations	78203	24668
h-index	96	58
i10-index	267	189

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Co-authors

Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Eui-Hong HanThe Washington PostVerified email at cs.umn.edu
Anshul GuptaRSM, IBM ResearchVerified email at us.ibm.com
Badrul M. SarwarMachine Learning Scientist, LinkedInVerified email at linkedin.com
Joseph A. KonstanUniversity of MinnesotaVerified email at umn.edu
Huzefa RangwalaProfessor & Lawrence Cranberg Research Faculty FellowVerified email at cs.gmu.edu
Mukund DeshpandePersistent SystemsVerified email at cs.umn.edu
Xia NingAssociate Professor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateVerified email at osu.edu
Shaden SmithSenior Research SDE, MicrosoftVerified email at cs.umn.edu
Bamshad MobasherSchool of Computing, DePaul UniversityVerified email at cs.depaul.edu
Michael SteinbachUniversity of MinnesotaVerified email at umn.edu
Jianyong WangTsinghua UniversityVerified email at tsinghua.edu.cn
Peter K. GregersenHead, Robert S. Boas Center for Genomics and Human GeneticsVerified email at nshs.edu
Christian DesrosiersProfessor, École de technologie supérieure - LIVIA - Regroupement stratégique REPARTIVerified email at etsmtl.ca
Maria GiniProfessor of Computer Science and Engineering, University of MinnesotaVerified email at umn.edu
David C. AnastasiuSanta Clara University, Santa Clara, CAVerified email at scu.edu
Ralph GrossPostdoctoral Fellow, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Daniel BoleyProfessor of Computer Science and Engineering, University of MinnesotaVerified email at umn.edu
Santosh KabburAmazon.com, University of Minnesota, Twin CitiesVerified email at cs.umn.edu
Asmaa ElbadrawyUniversity of MinnesotaVerified email at umn.edu

George Karypis

Professor, Department of Computer Science & Engineering, University of Minnesota

Verified email at umn.edu - Homepage

Data mining Parallel computing Recommender systems Learning analytics Chemical informatics


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Item-based collaborative filtering recommendation algorithms B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 10th international conference on World Wide Web, 285-295, 2001	9785	2001
A fast and high quality multilevel scheme for partitioning irregular graphs G Karypis, V Kumar SIAM Journal on scientific Computing 20 (1), 359-392, 1998	6119	1998
Introduction to Parallel Computing. 2nd edition V Kumar, A Grama, A Gupta, G Karypis Addison Wesley, 2003	5398*	2003
A comparison of document clustering techniques M Steinbach, G Karypis, V Kumar TextMining Workshop at KDD2000 (May 2000), 2000	3623	2000
CHAMELEON: A Hierarchical Clustering Algorithm Using Dynamic Modeling G Karypis, EH Han, V Kumar IEEE Computer, 1999	3031*	1999
METIS: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices G Karypis, V Kumar Department of Computer Science, University of Minnesota, 1995	2913*	1995
Analysis of recommendation algorithms for e-commerce B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 2nd ACM Conference on Electronic Commerce, 158-167, 2000	2732	2000
Item-based top-n recommendation algorithms M Deshpande, G Karypis ACM Transactions on Information Systems (TOIS) 22 (1), 143-177, 2004	2693	2004
Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus EC Baechler, FM Batliwalla, G Karypis, PM Gaffney, WA Ortmann, ... Proceedings of the National Academy of Sciences 100 (5), 2610-2615, 2003	2080	2003
Application of dimensionality reduction in recommender system-a case study B Sarwar, G Karypis, J Konstan, J Riedl Minnesota Univ Minneapolis Dept of Computer Science, 2000	2074	2000
Multilevel k-way Partitioning Scheme for Irregular Graphs G Karypis, V Kumar Journal of Parallel and Distributed computing 48 (1), 96-129, 1998	2030	1998
Multilevel hypergraph partitioning: Applications in VLSI domain G Karypis, R Aggarwal, V Kumar, S Shekhar IEEE Transactions on Very Large Scale Integration (VLSI) Systems 7 (1), 69-79, 1999	1646	1999
Frequent subgraph discovery M Kuramochi, G Karypis Proceedings 2001 IEEE international conference on data mining, 313-320, 2001	1532	2001
Criterion functions for document clustering: Experiments and analysis Y Zhao, G Karypis	950	2001
Evaluation of Item-Based Top-N Recommendation Algorithms G Karypis Proceedings of the tenth international conference on Information and …, 2001	935	2001
Multilevel K-way hypergraph partitioning G Karypis, V Kumar Proceedings of ACM/IEEE Design Automation Conference, 343-348, 1999	842	1999
Evaluation of hierarchical clustering algorithms for document datasets Y Zhao, G Karypis Proceedings of the eleventh international conference on Information and …, 2002	828	2002
Parallel Multilevel k-Way Partitioning Scheme for Irregular Graphs G Karypis, V Kumar Siam Review 41 (2), 278-300, 1999	787	1999
Hierarchical clustering algorithms for document datasets Y Zhao, G Karypis Data Mining and Knowledge Discovery 10 (2), 141-168, 2005	780	2005
A comprehensive survey of neighborhood-based recommendation methods C Desrosiers, G Karypis Recommender systems handbook, 107-144, 2011	778	2011

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