Nikolaos Kourentzes

About Nikolaos Kourentzes

Nikolaos Kourentzes, With an exceptional h-index of 35 and a recent h-index of 31 (since 2020), a distinguished researcher at Högskolan i Skövde, specializes in the field of Forecasting, time series modelling, machine learning, marketing analytics, management science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Understanding the relationship between demand forecasting and fill-rate

Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System

Forecast congruence: a quantity to align forecasts and inventory decisions

Package ‘diffusion’

Use of contextual and model-based information in adjusting promotional forecasts

On the evaluation of hierarchical forecasts

Judgmental Selection of Forecasting Models (Reprint)

The dynamics of judgemental adjustments in demand planning

Nikolaos Kourentzes Information

University

Position

___

Citations(all)

4716

Citations(since 2020)

3605

Cited By

2377

hIndex(all)

35

hIndex(since 2020)

31

i10Index(all)

48

i10Index(since 2020)

43

Email

University Profile Page

Google Scholar

Nikolaos Kourentzes Skills & Research Interests

Forecasting

time series modelling

machine learning

marketing analytics

management science

Top articles of Nikolaos Kourentzes

Title

Journal

Author(s)

Publication Date

Understanding the relationship between demand forecasting and fill-rate

Available at SSRN 4764943

Nikolaos Kourentzes

Ester Guijarro

Eugenia Babiloni

Juan R Trapero

2024/3/19

Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System

Forecasting

Devon Barrow

Antonija Mitrovic

Jay Holland

Mohammad Ali

Nikolaos Kourentzes

2024/3/7

Forecast congruence: a quantity to align forecasts and inventory decisions

Available at SSRN

Kandrika Pritularga

Nikolaos Kourentzes

2024

Package ‘diffusion’

Oliver Schaer

Nikolaos Kourentzes

Maintainer Oliver Schaer

2024/4/16

Use of contextual and model-based information in adjusting promotional forecasts

European journal of operational research

Anna Sroginis

Robert Fildes

Nikolaos Kourentzes

2023/6/16

On the evaluation of hierarchical forecasts

International Journal of Forecasting

George Athanasopoulos

Nikolaos Kourentzes

2023/10/1

Judgmental Selection of Forecasting Models (Reprint)

Fotios Petropoulos

Nikolaos Kourentzes

Konstantinos Nikolopoulos

Enno Siemsen

2023/6/3

The dynamics of judgemental adjustments in demand planning

Available at SSRN 4534744

Nikolaos Kourentzes

Fildes Robert

2023/8/8

Modeling the Reserve Demand to Facilitate Central Bank Operations

Zhuohui Chen

Nikolaos Kourentzes

Mr Romain M Veyrune

Romain Veyrune

2023

Shrinkage estimator for exponential smoothing models

International Journal of Forecasting

Kandrika F Pritularga

Ivan Svetunkov

Nikolaos Kourentzes

2023/7/1

Understanding the Relationship between Fill Rate, Demand Distribution, and Modelling Uncertainty

Demand Distribution, and Modelling Uncertainty

Nikolaos Kourentzes

Ester Guijarro

Eugenia Babiloni

Juan R Trapero

2023

Demand forecasting and inventory management with leading indicators

Yves R Sagaert

Nikolaos Kourentzes

2023/6/26

Forecast reconciliation: A review

George Athanasopoulos

Rob J Hyndman

Nikolaos Kourentzes

Anastasios Panagiotelis

2023/12/29

Probabilistic forecasts using expert judgment: The road to recovery from COVID-19

Journal of Travel Research

George Athanasopoulos

Rob J Hyndman

Nikolaos Kourentzes

Mitchell O’Hara-Wild

2023/1

Multi-step estimators and shrinkage effect in time series models

Computational Statistics

Ivan Svetunkov

Nikolaos Kourentzes

Rebecca Killick

2023/6/24

When and How to Use Global Forecasting Methods on Heterogeneous Datasets

Available at SSRN 4629272

Arnoud P Wellens

Nikolaos Kourentzes

Maximiliano Udenio

2023/11/10

Forecasting: theory and practice

Fotios Petropoulos

Daniele Apiletti

Vassilios Assimakopoulos

Mohamed Zied Babai

Devon K Barrow

...

2022/7/1

Forecasting Seasonal Sales with Many Drivers: Shrinkage or Dimensionality Reduction?

Applied System Innovation

Patrícia Ramos

José Manuel Oliveira

Nikolaos Kourentzes

Robert Fildes

2022/12/26

Reply to Simon Clarke Commentary

Foresight: The International Journal of Applied Forecasting

Nikolaos Kourentzes

2022

Complex exponential smoothing

Naval Research Logistics (NRL)

Ivan Svetunkov

Nikolaos Kourentzes

John Keith Ord

2022/12

See List of Professors in Nikolaos Kourentzes University(Högskolan i Skövde)

Co-Authors

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