Sherif Sakr

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	All	Since 2018
Citations	7736	5074
h-index	42	34
i10-index	117	82

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Radwa ElShawiAssociate Professor of Data Science, Institute of Computer Science, University of TartuVerified email at ut.ee
Anna LiuNICTA (now Data61/CSIRO), UNSW, Amazon Web ServicesVerified email at cse.unsw.edu.au
Mouaz Al-MallahProfessor of Cardiology, Houston Methodist Heart and Vascular CenterVerified email at houstonmethodist.org
Ahmed AwadProfessor, University of Tartu, Estonia; Adjunct Professor, Nile University, EgyptVerified email at ut.ee
Ahmed BarnawiKAUVerified email at kau.edu.sa
Clinton A. BrawnerHenry Ford HospitalVerified email at hfhs.org
Liming ZhuResearch Director at CSIRO’s Data61 & Prof at University of New South WalesVerified email at csiro.au
Jonathan K EhrmanHenry Ford Health SystemVerified email at hfhs.org
Waqas T. QureshiAssociate Professor, University of MassachusettsVerified email at umassmemorial.org
Amin BeheshtiFull Professor, School of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
Michael J. Blaha MD MPHProfessor of Cardiology & Epidemiology, Director of Clinical Research, Johns Hopkins CiccaroneVerified email at jhmi.edu
Liang ZhaoData61's CSIRO (National ICT Australia)Verified email at nicta.com.au
Marcin WylotVerified email at tu-berlin.de
Hamid R. Motahari NezhadFounder and Chief Scientist, UpBrains AIVerified email at upbrains.ai
Boualem Benatallah, FIEEEDCU, DublinVerified email at dcu.ie
Amal ElgammalHead of Software Engineering Dept., Egypt University of InformaticsVerified email at eui.edu.eg
Ghazi Al-NaymatAjman UniversityVerified email at ajman.ac.ae
Dongyao WuUNSW/Data61, CSIROVerified email at data61.csiro.au
Reza NouriUniversity of New South WalesVerified email at unsw.edu.au
Raghava MutharajuAssistant Professor, Computer Science and Engineering, IIIT-Delhi, IndiaVerified email at iiitd.ac.in

Sherif Sakr

UT, KSAU-HS, UNSW

Verified email at ut.ee - Homepage

Database Systems Big Data Data Science Health Informatics #unitartucs


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A survey of large scale data management approaches in cloud environments S Sakr, A Liu, DM Batista, M Alomari IEEE communications surveys & tutorials 13 (3), 311-336, 2011	554	2011
Handbook of big data technologies AY Zomaya, S Sakr Springer International Publishing 10, 978-3, 2017	535*	2017
Graph query processing using plurality of engines S Elnikety, Y He, S Sakr US Patent 9,053,210, 2015	271	2015
Graph data management: techniques and applications S Sakr, E Pardede Information Science Reference-Imprint of: IGI Publishing, 2011	249*	2011
The family of mapreduce and large-scale data processing systems S Sakr, A Liu, AG Fayoumi ACM Computing Surveys (CSUR) 46 (1), 1-44, 2013	246	2013
Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project M Alghamdi, M Al-Mallah, S Keteyian, C Brawner, J Ehrman, S Sakr PloS one 12 (7), e0179805, 2017	233	2017
On the interpretability of machine learning-based model for predicting hypertension R Elshawi, MH Al-Mallah, S Sakr BMC medical informatics and decision making 19 (1), 1-32, 2019	182	2019
Encyclopedia of Big Data Technologies SSA Zomaya Springer, 2019	180*	2019
XQuery on SQL hosts T Grust, S Sakr, J Teubner VLDB 4, 252-263, 2004	179	2004
Relational processing of RDF queries: a survey S Sakr, G Al-Naymat ACM Sigmod Record 38 (4), 23-28, 2010	174	2010
Towards a comprehensive data analytics framework for smart healthcare services S Sakr, A Elgammal Big Data Research 4, 44-58, 2016	171	2016
Cardiorespiratory fitness and cardiovascular disease prevention: an update MH Al-Mallah, S Sakr, A Al-Qunaibet Current atherosclerosis reports 20, 1-9, 2018	169	2018
Automated machine learning: State-of-the-art and open challenges R Elshawi, M Maher, S Sakr arXiv preprint arXiv:1906.02287, 2019	161	2019
Predictors of in-hospital length of stay among cardiac patients: a machine learning approach TA Daghistani, R Elshawi, S Sakr, AM Ahmed, A Al-Thwayee, ... International journal of cardiology 288, 140-147, 2019	133	2019
DREAM: distributed RDF engine with adaptive query planner and minimal communication M Hammoud, DA Rabbou, R Nouri, SMR Beheshti, S Sakr Proceedings of the VLDB Endowment 8 (6), 654-665, 2015	131	2015
XML compression techniques: A survey and comparison S Sakr Journal of Computer and System Sciences 75 (5), 303-322, 2009	130	2009
Interpretability in healthcare: A comparative study of local machine learning interpretability techniques R ElShawi, Y Sherif, M Al‐Mallah, S Sakr Computational Intelligence 37 (4), 1633-1650, 2021	122	2021
Big data systems meet machine learning challenges: towards big data science as a service R Elshawi, S Sakr, D Talia, P Trunfio Big data research 14, 1-11, 2018	119	2018
A query language for analyzing business processes execution SMR Beheshti, B Benatallah, HR Motahari-Nezhad, S Sakr Business Process Management: 9th International Conference, BPM 2011 …, 2011	111	2011
The future is big graphs: a community view on graph processing systems S Sakr, A Bonifati, H Voigt, A Iosup, K Ammar, R Angles, W Aref, M Arenas, ... Communications of the ACM 64 (9), 62-71, 2021	108	2021

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