Nikolaos Kourentzes

Management Science and Operations Research · 2010–2020

A researcher in the Science corpus: 8 papers; trusts 49 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 264 citations into it; #1,155 of 11,946 by trust here, #1,654 by citations
• Economics and Econometrics — 252 citations into it
• Statistics and Probability — 120 citations into it; #10,084 of 12,932 by trust here, #9,714 by citations
• Finance — 117 citations into it
• Artificial Intelligence — 81 citations into it; #32,165 of 35,345 by trust here, #32,362 by citations
• Electrical and Electronic Engineering — 61 citations into it; #2,625 of 16,539 by trust here, #9,902 by citations
• Time-Series & Forecasting — 56 citations into it; #78 of 381 by trust here, #206 by citations
• Signal Processing — 39 citations into it; #1,989 of 7,572 by trust here, #2,990 by citations

Whom Nikolaos Kourentzes trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Rob J Hyndman
2. A. Syntetos
3. Everette S. Gardner Jr.
4. Spyros Makridakis
5. John E. Boylan
6. Anne B. Koehler
7. M. Hibon
8. Leo Breiman
9. Jaka Demsar
10. David E. Rumelhart

Who trusts Nikolaos Kourentzes overall

1. Fotios Petropoulos
2. Christoph Bergmeir
3. Evangelos Spiliotis
4. Rob J Hyndman
5. Si Chen
6. Xun Wang
7. Vassilios Assimakopoulos
8. Kasun Bandara
9. Devon K. Barrow
10. Spyros Makridakis

Papers from Nikolaos Kourentzes's perspective

Ordered by how strongly the researchers Nikolaos Kourentzes trusts endorse each paper. Same corpus, a different order for every researcher.

1. Bagging Predictors
2. Combining forecasts: A review and annotated bibliography
3. Estimating the Dimension of a Model
4. The Combination of Forecasts
5. Regression Shrinkage and Selection via the Lasso
6. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation
7. Combination forecasts of output growth in a seven-country data set
8. Out-of-sample tests of forecasting accuracy: an analysis and review
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Pattern Recognition and Machine Learning

Their papers

• Forecasting with temporal hierarchies (2017) — 268 citations
• Improving forecasting by estimating time series structural components across multiple frequencies (2014) — 188 citations
• On the identification of sales forecasting models in the presence of promotions (2015) — 106 citations
• Neural network ensemble operators for time series forecasting (2014) — 314 citations
• An evaluation of neural network ensembles and model selection for time series prediction (2010) — 43 citations
• Intermittent demand forecasts with neural networks (2013) — 213 citations
• Impact of Information Exchange on Supplier Forecasting Performance (2012) — 134 citations
• Forecasting: theory and practice (2020) — 551 citations