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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Commentary on the M5 forecasting competition
Stephan Kolassa
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1562-1568
Open Access | Times Cited: 13

Showing 13 citing articles:

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Florian Haselbeck, Jennifer Killinger, Klaus Menrad, et al.
Machine Learning with Applications (2021) Vol. 7, pp. 100239-100239
Open Access | Times Cited: 33
Post-script—Retail forecasting: Research and practice
Robert Fildes, Stephan Kolassa, Shaohui Ma
International Journal of Forecasting (2021) Vol. 38, Iss. 4, pp. 1319-1324
Open Access | Times Cited: 14
Lumpy and intermittent retail demand forecasts with score-driven models
Rodrigo Sarlo, Cristiano Fernandes, Denis Borenstein
European Journal of Operational Research (2022) Vol. 307, Iss. 3, pp. 1146-1160
Closed Access | Times Cited: 8
Fast and Frugal Time Series Forecasting
Fotios Petropoulos, Yael Grushka‐Cockayne, Enno Siemsen, et al.
SSRN Electronic Journal (2021)
Closed Access | Times Cited: 10
The M5 competition: Conclusions
Spyros Makridakis, Fotios Petropoulos, Evangelos Spiliotis
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1576-1582
Open Access | Times Cited: 5
Análisis comparativo de modelos tradicionales y modernos para pronóstico de la demanda: enfoques y características
César Ángel Fierro Torres, Velia Herminia Castillo Pérez, Claudia Irene Torres Saucedo
RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo (2022) Vol. 12, Iss. 24
Open Access | Times Cited: 3
An ES-based model with contemporaneous and temporal aggregation for forecasting intermittent and lumpy retail demand
E Erjiang, Xin Tian, Tao Ye, et al.
Procedia Computer Science (2024) Vol. 242, pp. 264-271
Open Access
Wielding Occam’s razor: Fast and frugal retail forecasting
Fotios Petropoulos, Yael Grushka‐Cockayne, Enno Siemsen, et al.
Journal of the Operational Research Society (2024), pp. 1-20
Open Access
Scalable probabilistic forecasting in retail with gradient boosted trees: A practitioner’s approach
Xueying Long, Quang Diep Bui, Grady Oktavian, et al.
International Journal of Production Economics (2024) Vol. 279, pp. 109449-109449
Open Access
Responses to the discussions and commentaries of the M5 Special Issue
Spyros Makridakis, Evangelos Spiliotis, Vassilios Assimakopoulos
International Journal of Forecasting (2022) Vol. 38, Iss. 4, pp. 1569-1575
Closed Access | Times Cited: 1
Sales Forecasting of Perishable Products: A Case Study of a Perishable Orange Drink
T. Musora, Zviiteyi Chazuka, A. Jaison, et al.
(2023), pp. 103-116
Open Access
Demand Forecasting of a Perishable Dairy Drink: An ARIMA Approach
T. Musora, Zviiteyi Chazuka, A. Jaison, et al.
International Journal of Data Mining & Knowledge Management Process (2023) Vol. 13, Iss. 1/2, pp. 35-49
Open Access
SUGAR DEMAND FORECASTING IN PT XYZ WITH WINQSB SOFTWARE
Astrid Wahyu Adventri Wibowo, Fitri Maimunah
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2023) Vol. 17, Iss. 3, pp. 1631-1640
Open Access
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