Nikolaos Kourentzes - Google Scholar Citations

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Citations	1298	1160
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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
Robert FildesCentre for Marketing Analytics and Forecasting, Lancaster UniversityVerified email at lancaster.ac.uk
Juan Ramon TraperoLecturer, Universidad de Castilla-La ManchaVerified email at uclm.es
Devon BarrowLecturer of Business, Coventry UniversityVerified email at coventry.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
Oliver SchaerResearch student at Lancaster UniversityVerified email at lancaster.ac.uk
Rob J HyndmanProfessor of Statistics, Monash UniversityVerified email at monash.edu
Konstantinos NikolopoulosBangor University, Manchester University, Lancaster UniversityVerified email at bangor.ac.uk
Diego J. PedregalUniversidad Castilla-La ManchaVerified email at uclm.es
Ivan SvetunkovLecturer of Marketing Analytics, Lancaster University Management SchoolVerified email at lancaster.ac.uk
Bahman Rostami-TabarAssistant Professor, Cardiff UniversityVerified email at cardiff.ac.uk
Manuel CardósUniversidad Politécnica de ValenciaVerified email at omp.upv.es
Enno SiemsenUniversity of Wisconsin-MadisonVerified email at wisc.edu
Monideepa TarafdarProfessor of Information Systems, Lancaster University Management SchoolVerified email at lancaster.ac.uk
Arne StraussAssociate Professor, University of WarwickVerified email at wbs.ac.uk
John BoylanProfessor of Business Analytics, Lancaster UniversityVerified email at lancaster.ac.uk

Nikolaos Kourentzes

Lancaster University

Verified email at lancaster.ac.uk - Homepage

Forecasting time series modelling machine learning marketing analytics management science


Title	Cited by	Year
Neural network ensemble operators for time series forecasting N Kourentzes, DK Barrow, SF Crone Expert Systems with Applications 41 (9), 4235-4244, 2014	129	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	121	2010
Impact of information exchange on supplier forecasting performance JR Trapero, N Kourentzes, R Fildes Omega 40 (6), 738-747, 2012	98	2012
Principles of business forecasting K Ord, R Fildes Nelson Education, 2012	87	2012
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	86	2014
Intermittent demand forecasts with neural networks N Kourentzes International Journal of Production Economics 143 (1), 198-206, 2013	86	2013
Forecasting with temporal hierarchies G Athanasopoulos, RJ Hyndman, N Kourentzes, F Petropoulos European Journal of Operational Research 262 (1), 60-74, 2017	62	2017
Forecast combinations for intermittent demand F Petropoulos, N Kourentzes Journal of the Operational Research Society 66 (6), 914-924, 2015	51	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	47	2013
Validation and forecasting accuracy in models of climate change R Fildes, N Kourentzes International Journal of Forecasting 27 (4), 968-995, 2011	43	2011
Forecasting with multivariate temporal aggregation: The case of promotional modelling N Kourentzes, F Petropoulos International Journal of Production Economics 181, 145-153, 2016	38	2016
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	38	2015
Short-term solar irradiation forecasting based on dynamic harmonic regression JR Trapero, N Kourentzes, A Martin Energy 84, 289-295, 2015	37	2015
On intermittent demand model optimisation and selection N Kourentzes International Journal of Production Economics 156, 180-190, 2014	37	2014
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	33	2010
Distributions of forecasting errors of forecast combinations: implications for inventory management DK Barrow, N Kourentzes International Journal of Production Economics 177, 24-33, 2016	31	2016
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	26	2009
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	24	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	20	2018
Improving forecasting via multiple temporal aggregation F Petropoulos, N Kourentzes Foresight: The International Journal of Applied Forecasting 34, 12-17, 2014	20	2014

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