Rob J Hyndman

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	All	Since 2016
Citations	35631	21389
h-index	65	52
i10-index	155	126

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Co-authors

George AthanasopoulosMonash UniversityVerified email at monash.edu
Ralph SnyderAdjuct Associate Professor, Monash UniversityVerified email at monash.edu
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Han Lin ShangDepartment of Actuarial Studies and Business Analytics, Macquarie UniversityVerified email at mq.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
Heather BoothAustralian National UniversityVerified email at anu.edu.au
Jan VerbesseltAssociate Professor, Wageningen UniversityVerified email at wur.nl
Mitchell O'Hara-WildResearch Assistant, Monash UniversityVerified email at mitchelloharawild.com
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
Yeasmin KhandakarSenior Data Scientist, OfficeworksVerified email at officeworks.com.au
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

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	6003*	1998
Another look at measures of forecast accuracy RJ Hyndman, AB Koehler International journal of forecasting 22 (4), 679-688, 2006	3608	2006
Forecasting: principles and practice RJ Hyndman, G Athanasopoulos OTexts, 2018	2838	2018
Automatic time series forecasting: the forecast package for R RJ Hyndman, Y Khandakar Journal of Statistical Software, 2007	2471	2007
Forecasting with exponential smoothing: the state space approach RJ Hyndman, AB Koehler, JK Ord, RD Snyder Springer Verlag, 2008	1210	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	1145	2010
25 years of time series forecasting JG De Gooijer, RJ Hyndman International journal of forecasting 22 (3), 443-473, 2006	1027	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, ...	893*	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	867	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	638	2007
Computing and graphing highest density regions RJ Hyndman The American Statistician 50 (2), 120-126, 1996	625	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	575	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	491	2016
Characteristic-based clustering for time series data X Wang, K Smith, R Hyndman Data mining and knowledge Discovery 13 (3), 335-364, 2006	486	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	435	2011
Estimating and visualizing conditional densities RJ Hyndman, DM Bashtannyk, GK Grunwald Journal of Computational and Graphical Statistics 5 (4), 315-336, 1996	390	1996
Density forecasting for long-term peak electricity demand RJ Hyndman, S Fan IEEE Transactions on Power Systems 25 (2), 1142-1153, 2009	334	2009
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	332*	2018

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