Sherif Sakr

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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 AwadThe British University in DubaiVerified email at buid.ac.ae
Ahmed BarnawiKAUVerified email at kau.edu.sa
Clinton A. BrawnerHenry Ford HospitalVerified email at hfhs.org
Jonathan K EhrmanHenry Ford Health SystemVerified email at hfhs.org
Waqas T. QureshiAssociate Professor, University of MassachusettsVerified email at umassmemorial.org
Michael J. Blaha MD MPHProfessor of Cardiology & Epidemiology, Director Clinical Research, Johns Hopkins Ciccarone CenterVerified email at jhmi.edu
Liming ZhuResearch Director at CSIRO’s Data61 & Prof at University of New South WalesVerified email at csiro.au
Amin BeheshtiFull Professor, School of Computing, Macquarie University, Sydney, AustraliaVerified email at mq.edu.au
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, FIEEE, FAIIADCU, DublinVerified email at dcu.ie
Ghazi Al-NaymatProfessor of Data Science, Ajman University, UAEVerified email at ajman.ac.ae
Emanuele Della VallePolitecnico di MilanoVerified email at polimi.it
Dongyao WuUNSW/Data61, CSIROVerified email at data61.csiro.au
Athman BouguettayaSchool of Computer Science University of SydneyVerified email at sydney.edu.au
Albert Y. ZomayaPeter Nicol Russell Chair Professor of Computer Science, Sydney UniversityVerified email at sydney.edu.au

Sherif Sakr

UT, KSAU-HS, UNSW

Verified email at ut.ee - Homepage

Database Systems Big Data Data Science Health Informatics #unitartucs


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Handbook of big data technologies AY Zomaya, S Sakr Springer International Publishing 10, 978-3, 2017	643*	2017
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	598	2011
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	322	2017
Graph query processing using plurality of engines S Elnikety, Y He, S Sakr US Patent 9,053,210, 2015	312	2015
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, 1-32, 2019	293	2019
Cardiorespiratory fitness and cardiovascular disease prevention: an update MH Al-Mallah, S Sakr, A Al-Qunaibet Current atherosclerosis reports 20, 1-9, 2018	289	2018
Graph data management: techniques and applications S Sakr, E Pardede Information Science Reference-Imprint of: IGI Publishing, 2011	280*	2011
Automated machine learning: State-of-the-art and open challenges R Elshawi, M Maher, S Sakr arXiv preprint arXiv:1906.02287, 2019	277	2019
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	260	2013
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	255	2021
Encyclopedia of Big Data Technologies SSA Zomaya Springer, 2019	246*	2019
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	228	2021
Towards a comprehensive data analytics framework for smart healthcare services S Sakr, A Elgammal Big Data Research 4, 44-58, 2016	220	2016
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	194	2019
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	184	2018
XQuery on SQL hosts T Grust, S Sakr, J Teubner VLDB 4, 252-263, 2004	181	2004
Relational processing of RDF queries: a survey S Sakr, G Al-Naymat ACM Sigmod Record 38 (4), 23-28, 2010	174	2010
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	142	2015
XML compression techniques: A survey and comparison S Sakr Journal of Computer and System Sciences 75 (5), 303-322, 2009	140	2009
RDF data storage and query processing schemes: A survey M Wylot, M Hauswirth, P Cudré-Mauroux, S Sakr ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018	136	2018

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