Nikolaos Kourentzes - Google Scholar Citations

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Citations	1747	1508
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Sven F. CroneAssistant Professor of Business Analytics, Lancaster UniversityVerified email at lancaster.ac.uk
Fotios PetropoulosUniversity of BathVerified email at bath.ac.uk
Juan Ramon TraperoSenior Lecturer, Universidad de Castilla-La ManchaVerified email at uclm.es
Robert FildesCentre for Marketing Analytics and Forecasting, Lancaster UniversityVerified email at lancaster.ac.uk
Devon BarrowAssociate Professor, University of BirminghamVerified email at bham.ac.uk
Yves R. SagaertResearcher, Ghent UniversityVerified email at ugent.be
Aghezzaf El-HoussaineHoogleraarVerified email at ugent.be
George AthanasopoulosMonash UniversityVerified email at monash.edu
Konstantinos NikolopoulosBangor University, Manchester University, Lancaster University, NTUA (ΕΜΠ) GreeceVerified email at bangor.ac.uk
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Oliver SchaerResearch Associate, Darden School of Business, University of VirginiaVerified email at darden.virginia.edu
Manuel CardósUniversidad Politécnica de ValenciaVerified email at omp.upv.es
Ivan SvetunkovLecturer of Marketing Analytics, Lancaster University Management SchoolVerified email at lancaster.ac.uk
Diego J. PedregalUniversidad Castilla-La ManchaVerified email at uclm.es
Bahman Rostami-TabarAssociate Professor, Cardiff UniversityVerified email at cardiff.ac.uk
Enno SiemsenUniversity of Wisconsin-MadisonVerified email at wisc.edu
Arne StraussProfessor, WHU - Otto Beisheim School of ManagementVerified email at whu.edu
Monideepa TarafdarProfessor of Information Systems, Lancaster University Management SchoolVerified email at lancaster.ac.uk
John BoylanProfessor of Business Analytics, Lancaster UniversityVerified email at lancaster.ac.uk

Nikolaos Kourentzes

University of Skövde

Verified email at his.se - Homepage

Forecasting time series modelling machine learning marketing analytics management science


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Neural network ensemble operators for time series forecasting N Kourentzes, DK Barrow, SF Crone Expert Systems with Applications 41 (9), 4235-4244, 2014	157	2014
Feature selection for time series prediction–A combined filter and wrapper approach for neural networks SF Crone, N Kourentzes Neurocomputing 73 (10-12), 1923-1936, 2010	147	2010
Improving forecasting by estimating time series structural components across multiple frequencies N Kourentzes, F Petropoulos, JR Trapero International Journal of Forecasting 30 (2), 291-302, 2014	111	2014
Intermittent demand forecasts with neural networks N Kourentzes International Journal of Production Economics 143 (1), 198-206, 2013	111	2013
Principles of business forecasting K Ord, R Fildes Nelson Education, 2012	109	2012
Impact of information exchange on supplier forecasting performance JR Trapero, N Kourentzes, R Fildes Omega 40 (6), 738-747, 2012	106	2012
Forecasting with temporal hierarchies G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos European Journal of Operational Research 262 (1), 60-74, 2017	92	2017
Forecast combinations for intermittent demand F Petropoulos, N Kourentzes Journal of the Operational Research Society 66 (6), 914-924, 2015	67	2015
Analysis of judgmental adjustments in the presence of promotions JR Trapero, DJ Pedregal, R Fildes, N Kourentzes International Journal of Forecasting 29 (2), 234-243, 2013	66	2013
On the identification of sales forecasting models in the presence of promotions JR Trapero, N Kourentzes, R Fildes Journal of the operational Research Society 66 (2), 299-307, 2015	59	2015
Short-term solar irradiation forecasting based on dynamic harmonic regression JR Trapero, N Kourentzes, A Martin Energy 84, 289-295, 2015	54	2015
Forecasting with multivariate temporal aggregation: The case of promotional modelling N Kourentzes, F Petropoulos International Journal of Production Economics 181, 145-153, 2016	52	2016
Distributions of forecasting errors of forecast combinations: implications for inventory management DK Barrow, N Kourentzes International Journal of Production Economics 177, 24-33, 2016	50	2016
On intermittent demand model optimisation and selection N Kourentzes International Journal of Production Economics 156, 180-190, 2014	49	2014
Validation and forecasting accuracy in models of climate change R Fildes, N Kourentzes International Journal of Forecasting 27 (4), 968-995, 2011	48	2011
An evaluation of neural network ensembles and model selection for time series prediction DK Barrow, SF Crone, N Kourentzes The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010	37	2010
Tactical sales forecasting using a very large set of macroeconomic indicators YR Sagaert, EH Aghezzaf, N Kourentzes, B Desmet European Journal of Operational Research 264 (2), 558-569, 2018	36	2018
The impact of special days in call arrivals forecasting: A neural network approach to modelling special days D Barrow, N Kourentzes European Journal of Operational Research 264 (3), 967-977, 2018	34	2018
Input-variable specification for neural networks-an analysis of forecasting low and high time series frequency SF Crone, N Kourentzes 2009 International Joint Conference on Neural Networks, 619-626, 2009	31	2009
Another look at estimators for intermittent demand F Petropoulos, N Kourentzes, K Nikolopoulos International Journal of Production Economics 181, 154-161, 2016	30	2016

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