Rob J Hyndman

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	All	Since 2016
Citations	35708	21277
h-index	64	53
i10-index	154	124

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George AthanasopoulosMonash UniversityVerified email at monash.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityVerified email at monash.edu
Han Lin ShangDepartment of Actuarial Studies and Business Analytics, Macquarie UniversityVerified email at mq.edu.au
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Keith OrdEmeritus Professor of Business Statistics, Georgetown UniversityVerified email at georgetown.edu
Christoph BergmeirMonash UniversityVerified email at monash.edu
Spyros MakridakisUniv. of Nicosia, Institute For the Future (IFF) and the Makridakis Open Forecasting Center (MOFC)Verified email at UNIC.ac.cy
Fotios PetropoulosUniversity of BathVerified email at bath.ac.uk
Bircan ErbasLa Trobe UniversityVerified email at latrobe.edu.au
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Jan VerbesseltAssociate Professor, Wageningen UniversityVerified email at wur.nl
Souhaib Ben TaiebAssociate Professor in Machine Learning, University of Mons, BelgiumVerified email at umons.ac.be
Darius CulvenorEnvironmental Sensing SystemsVerified email at sensingsystems.com.au
Muhammad AkramPhysics Division, PINSTECHVerified email at pinstech.org.pk
Michael AbramsonProfessor of clinical epidemiology, Monash UniversityVerified email at monash.edu
Leonie TickleAssociate Dean Learning and Teaching and Professor of Actuarial Studies, Macquarie Business SchoolVerified email at mq.edu.au
Roman AhmedPrincipal Data Science Consultant, ANZ BankVerified email at ambiata.com
Shyamali Chandrika DharmageProfessor of Epidemiology, Head of the Allergy and Lung Health Unit, University of MelbourneVerified email at unimelb.edu.au
Glenn NewnhamCSIRO Land and WaterVerified email at csiro.au

Rob J Hyndman

Professor of Statistics, Monash University

Verified email at monash.edu - Homepage

Forecasting Time series Statistical modeling Machine learning Exploratory data analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Forecasting methods and applications S Makridakis, SC Wheelwright, RJ Hyndman John Wiley & Sons, 1998	6140*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	3613	2006
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	2744	2018
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	2513	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	1199	2008
Detecting trend and seasonal changes in satellite image time series J Verbesselt, R Hyndman, G Newnham, D Culvenor Remote sensing of Environment 114 (1), 106-115, 2010	1146	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1051	2006
Sample quantiles in statistical packages RJ Hyndman, Y Fan The American Statistician 50 (4), 361-365, 1996	953	1996
forecast: Forecasting functions for time series and linear models RJ Hyndman, G Athanasopoulos, C Bergmeir, G Caceres, L Chhay, ...	894*	2018
A state space framework for automatic forecasting using exponential smoothing methods RJ Hyndman, AB Koehler, RD Snyder, S Grose International Journal of forecasting 18 (3), 439-454, 2002	866	2002
Robust forecasting of mortality and fertility rates: A functional data approach RJ Hyndman, MS Ullah Computational Statistics and Data Analysis 51 (10), 4942-4956, 2007	649	2007
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	626	1996
Forecasting time series with complex seasonal patterns using exponential smoothing AM De Livera, RJ Hyndman, RD Snyder Journal of the American statistical association 106 (496), 1513-1527, 2011	553	2011
Phenological change detection while accounting for abrupt and gradual trends in satellite image time series J Verbesselt, R Hyndman, A Zeileis, D Culvenor Remote Sensing of Environment 114 (12), 2970-2980, 2010	534	2010
Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond T Hong, P Pinson, S Fan, H Zareipour, A Troccoli, RJ Hyndman International Journal of forecasting 32 (3), 896-913, 2016	486	2016
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	481	2006
Short-term load forecasting based on a semi-parametric additive model S Fan, RJ Hyndman IEEE Transactions on Power Systems 27 (1), 134-141, 2011	436	2011
Estimating and visualizing conditional densities RJ Hyndman, DM Bashtannyk, GK Grunwald Journal of Computational and Graphical Statistics 5 (4), 315-336, 1996	394	1996
rmarkdown: Dynamic Documents for R J Allaire, Y Xie, J McPherson, J Luraschi, K Ushey, A Atkins, H Wickham, ... R package version 1 (11), 2018	338*	2018
Density forecasting for long-term peak electricity demand RJ Hyndman, S Fan IEEE Transactions on Power Systems 25 (2), 1142-1153, 2009	334	2009

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