World's Best Scientists 2026 revealed!
Spyros Makridakis

Spyros Makridakis

Award Badge
Social Sciences and Humanities
Cyprus
2026

D-Index & Metrics

Social Sciences and Humanities

D-Index
63
Citations
34080
World Ranking
1137
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Social Sciences and Humanities in Cyprus Leader Award
  • 2025 - Research.com Social Sciences and Humanities in Cyprus Leader Award

Overview

Spyros Makridakis is affiliated with the University of Nicosia in Cyprus and has a significant body of work focused on decision sciences, with a particular emphasis on management science and operations research.

Their recent publications include:

  • "M5 accuracy competition: Results, findings, and conclusions" (2022, International Journal of Forecasting)
  • "The M5 competition: Background, organization, and implementation" (2021, International Journal of Forecasting)
  • "Forecasting: theory and practice" (2022, BOA (University of Milano-Bicocca))
  • "Comparison of statistical and machine learning methods for daily SKU demand forecasting" (2020, Operational Research)
  • "COVID-19: Forecasting confirmed cases and deaths with a simple time series model" (2020, International Journal of Forecasting)

Makridakis has frequently collaborated with the following co-authors:

  • Evangelos Spiliotis
  • Vassilios Assimakopoulos
  • Fotios Petropoulos
  • Ross Hollyman
  • Yanfei Kang

The majority of their academic contributions have appeared in the International Journal of Forecasting, which accounts for 14 of their publications. Other venues include BOA (University of Milano-Bicocca), Operational Research, Journal of the Operational Research Society, and Forecasting.

Their work primarily spans several fields and subfields, such as Decision Sciences, Management Science and Operations Research, Electrical and Electronic Engineering, General Economics, Econometrics and Finance, Economics and Econometrics, and Signal Processing.

Main research topics explored by Makridakis include:

  • Forecasting Techniques and Applications
  • Stock Market Forecasting Methods
  • Energy Load and Power Forecasting
  • Monetary Policy and Economic Impact
  • Market Dynamics and Volatility
  • Time Series Analysis and Forecasting
  • Big Data and Business Intelligence

Their work involves the development and comparison of methods for prediction and forecasting, covering statistical and machine learning approaches applied to real-world data, including epidemiological modeling as reflected in recent COVID-19 case forecasting.

Best Publications

  • Forecasting: Methods and Applications

    Spyros G. Makridakis;Steven C. Wheelwright;Victor E. McGee

  • The M3-Competition: results, conclusions and implications

    Spyros Makridakis;Michèle Hibon

  • The accuracy of extrapolation (time series) methods: Results of a forecasting competition

    S. Makridakis;A. Andersen;A. Andersen;R. Carbone;R. Fildes;R. Fildes

  • The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms

    Spyros Makridakis

  • Statistical and Machine Learning forecasting methods: Concerns and ways forward.

    Spyros Makridakis;Evangelos Spiliotis;Vassilios Assimakopoulos

  • Metode dan aplikasi peramalan

    Spyros Makridakis;Steven C. Wheelwright;Victor E. McGee

  • Forecasting and Planning: An Evaluation

    Robin M. Hogarth;Spyros Makridakis

  • The M4 Competition: 100,000 time series and 61 forecasting methods

    Spyros Makridakis;Evangelos Spiliotis;Vassilios Assimakopoulos

  • Averages of Forecasts: Some Empirical Results

    Spyros Makridakis;Robert L. Winkler

  • Accuracy of Forecasting: An Empirical Investigation

    Spyros Makridakis;Michele Hibon

  • Forecasting the novel coronavirus COVID-19.

    Fotios Petropoulos;Spyros Makridakis

  • Forecasting Methods for Management

    Spyros G. Makridakis;Steven C. Wheelwright

  • The M4 Competition: Results, findings, conclusion and way forward

    Spyros Makridakis;Evangelos Spiliotis;Vassilios Assimakopoulos

  • ARMA Models and the Box–Jenkins Methodology

    Spyros Makridakis;Michèle Hibon

  • The Combination of Forecasts

    Robert L. Winkler;Spyros Makridakis

  • Forecasting, planning, and strategy for the 21st century

    Spyros G. Makridakis

  • The M2-competition: A real-time judgmentally based forecasting study

    Spyros Makridakis;Chris Chatfield;Michèle Hibon;Michael Lawrence

  • Forecasting: Methods and Applications, 3rd Ed

    Spyros Makridakis;Steven Wheelwright;Rob J Hyndman

  • The Forecasting accuracy of major time series methods

    Robert B. Litterman;S. Makridakis;A. Andersen;R. Carbone

  • Interactive Forecasting: Univariate and Multivariate Methods

    Spyros G. Makridakis;Steven C. Wheelright

  • Forecasting: Methods and Applications, 3rd Edition

    Steven Wheelwright;Spyros Makridakis;Rob J. Hyndman

  • Forecasting Methods for Management

    C. J. Hearne;S. Makridakis;S. C. Wheelwright

  • Time series prediction: Forecasting the future and understanding the past: Andreas S. Weigend and Neil A. Gershenfeld, eds., 1993, (Addison-Wesley Publishing Company, Reading, MA, USA), 643 pp., paperback $49.50, ISBN 0-201-62

    Spyros Makridakis

  • Forecasting: Methods and Applications@@@Elements of Forecasting

    William M. Briggs;Spyros Makridakis;Steven C. Wheelwright;Rob J. Hyndman

Frequent Co-Authors

Robert L. Winkler
Robert L. Winkler Duke University
Robin M. Hogarth
Robin M. Hogarth Pompeu Fabra University
Paul Goodwin
Paul Goodwin University of Bath
Benjamin D. Wright
Benjamin D. Wright University of Chicago

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