Stefano Lonardi - Google Scholar Citations

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	All	Since 2014
Citations	14511	8415
h-index	49	39
i10-index	97	72

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Co-authors

Eamonn KeoghProfessor of Computer Science, University of California - RiversideVerified email at cs.ucr.edu
Timothy J CloseUniversity of CaliforniaVerified email at ucr.edu
Jessica LinGeorge Mason UniversityVerified email at gmu.edu
Yonghui WuGoogle BrainVerified email at google.com
Karine Le RochProfessor, University of California, RiversideVerified email at ucr.edu
Chotirat Ann RatanamahatanaAssociate Professor, Dept. of Computer Engineering, Chulalongkorn UniversityVerified email at chula.ac.th
Elena HarrisAssistant Professor, California State University, ChicoVerified email at csuchico.edu
Bill ChiuVerified email at tapiama.org
Rachid OunitUniversity of California, RiversideVerified email at cs.ucr.edu
Prasanna BhatData Stewardship Lead at Monsanto Research Center, BangaloreVerified email at monsanto.com
Tao JiangUC RiversideVerified email at cs.ucr.edu
Vladimir Vacic23andMe, Inc.Verified email at 23andme.com
Jie ZhengAssociate Professor, School of Information Science and Technology, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Wojciech SzpankowskiPurdue UniversityVerified email at purdue.edu
Thanawin RakthanmanonDept. of Computer Engineering, Kasetsart University, ThailandVerified email at ku.ac.th
Scott EvansPrincipal Scientists Machine Learning, GE ResearchVerified email at ge.com
Walid NajjarProfessor of Computer Science & Engineering, Electrical Engineering, University of CaliforniaVerified email at cs.ucr.edu
Serdar BozdagAssociate Professor, Dept. of Computer Science, Marquette UniversityVerified email at marquette.edu
María Muñoz-AmatriaínColorado State UniversityVerified email at colostate.edu
Gary MuehlbauerUniversity of MinnesotaVerified email at umn.edu

Stefano Lonardi

Professor of Computer Science, University of California, Riverside

Verified email at cs.ucr.edu - Homepage

Computational Biology Bioinformatics Data Mining Data Compression Epigenetics


Title	Cited by	Year
A symbolic representation of time series, with implications for streaming algorithms J Lin, E Keogh, S Lonardi, B Chiu Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining …, 2003	1861	2003
A whole-genome assembly of Drosophila EW Myers, GG Sutton, AL Delcher, IM Dew, DP Fasulo, MJ Flanigan, ... Science 287 (5461), 2196-2204, 2000	1718	2000
Experiencing SAX: a novel symbolic representation of time series J Lin, E Keogh, L Wei, S Lonardi Data Mining and knowledge discovery 15 (2), 107-144, 2007	1178	2007
A physical, genetic and functional sequence assembly of the barley genome. KF Mayer, R Waugh, P Langridge, TJ Close, RP Wise, A Graner, ... Nature, 2012	1025	2012
Towards parameter-free data mining E Keogh, S Lonardi, CA Ratanamahatana Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	687	2004
Probabilistic discovery of time series motifs B Chiu, E Keogh, S Lonardi Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	642	2003
Development and implementation of high-throughput SNP genotyping in barley TJ Close, PR Bhat, S Lonardi, Y Wu, N Rostoks, L Ramsay, A Druka, ... BMC genomics 10 (1), 582, 2009	587	2009
Finding surprising patterns in a time series database in linear time and space E Keogh, S Lonardi, BY Chiu Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002	469	2002
A chromosome conformation capture ordered sequence of the barley genome M Mascher, H Gundlach, A Himmelbach, S Beier, SO Twardziok, T Wicker, ... Nature 544 (7651), 427, 2017	438	2017
Efficient and accurate construction of genetic linkage maps from the minimum spanning tree of a graph Y Wu, PR Bhat, TJ Close, S Lonardi PLoS genetics 4 (10), e1000212, 2008	339	2008
CLARK: fast and accurate classification of metagenomic and genomic sequences using discriminative k-mers R Ounit, S Wanamaker, TJ Close, S Lonardi BMC genomics 16 (1), 236, 2015	284	2015
Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival D Bogunovic, DW O'Neill, I Belitskaya-Levy, V Vacic, YL Yu, S Adams, ... Proceedings of the National Academy of Sciences 106 (48), 20429-20434, 2009	265	2009
Composition Profiler: a tool for discovery and visualization of amino acid composition differences V Vacic, VN Uversky, AK Dunker, S Lonardi BMC bioinformatics 8 (1), 211, 2007	262	2007
Mining motifs in massive time series databases P Patel, E Keogh, J Lin, S Lonardi 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 370-377, 2002	241	2002
Assignment of orthologous genes via genome rearrangement X Chen, J Zheng, Z Fu, P Nan, Y Zhong, S Lonardi, T Jiang IEEE/ACM Trans Comput Biol Bioinformatics 2 (4), 302-15, 2005	202*	2005
Visually mining and monitoring massive time series J Lin, E Keogh, S Lonardi, JP Lankford, DM Nystrom Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	177	2004
Visualizing and discovering non-trivial patterns in large time series databases J Lin, E Keogh, S Lonardi Information visualization 4 (2), 61-82, 2005	152	2005
Time-series bitmaps: a practical visualization tool for working with large time series databases N Kumar, VN Lolla, E Keogh, S Lonardi, CA Ratanamahatana, L Wei Proceedings of the 2005 SIAM international conference on data mining, 531-535, 2005	145	2005
Assumption-Free Anomaly Detection in Time Series. L Wei, N Kumar, VN Lolla, EJ Keogh, S Lonardi, ... SSDBM 5, 237-242, 2005	144	2005
Small RNAs and the regulation of cis-natural antisense transcripts in Arabidopsis H Jin, V Vacic, T Girke, S Lonardi, JK Zhu BMC molecular biology 9 (1), 6, 2008	139	2008

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