Devon K. Barrow

1.2k total citations
16 papers, 797 citations indexed

About

Devon K. Barrow is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Devon K. Barrow has authored 16 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Management Science and Operations Research, 4 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Devon K. Barrow's work include Forecasting Techniques and Applications (13 papers), Stock Market Forecasting Methods (10 papers) and Energy Load and Power Forecasting (4 papers). Devon K. Barrow is often cited by papers focused on Forecasting Techniques and Applications (13 papers), Stock Market Forecasting Methods (10 papers) and Energy Load and Power Forecasting (4 papers). Devon K. Barrow collaborates with scholars based in United Kingdom, Sweden and New Zealand. Devon K. Barrow's co-authors include Nikolaos Kourentzes, Sven F. Crone, Fotios Petropoulos, Antonija Mitrović, Juan R. Trapero, Stellan Ohlsson, Bahman Rostami-Tabar and Mohammad Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Journal of Business Research.

In The Last Decade

Devon K. Barrow

16 papers receiving 773 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Devon K. Barrow United Kingdom 13 437 198 174 116 98 16 797
Hsiao–Cheng Yu Taiwan 12 586 1.3× 225 1.1× 172 1.0× 169 1.5× 104 1.1× 28 1.1k
Sajid Siraj United Kingdom 14 356 0.8× 137 0.7× 118 0.7× 57 0.5× 43 0.4× 33 837
Ling‐Jing Kao Taiwan 12 291 0.7× 131 0.7× 184 1.1× 134 1.2× 41 0.4× 29 629
Zaiyong Tang United States 7 286 0.7× 169 0.9× 268 1.5× 71 0.6× 14 0.1× 17 648
Zhanglin Peng China 16 185 0.4× 81 0.4× 194 1.1× 75 0.6× 18 0.2× 42 718
Neamat El Gayar Egypt 10 269 0.6× 127 0.6× 277 1.6× 111 1.0× 46 0.5× 33 893
Ritanjali Majhi India 17 442 1.0× 215 1.1× 336 1.9× 244 2.1× 23 0.2× 55 1.0k
Roberta Parreiras Brazil 14 595 1.4× 51 0.3× 299 1.7× 43 0.4× 30 0.3× 24 870
Peng Wu China 20 550 1.3× 141 0.7× 239 1.4× 136 1.2× 9 0.1× 62 983
Sasan Barak Iran 14 438 1.0× 243 1.2× 165 0.9× 122 1.1× 56 0.6× 26 918

Countries citing papers authored by Devon K. Barrow

Since Specialization
Citations

This map shows the geographic impact of Devon K. Barrow's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Devon K. Barrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devon K. Barrow more than expected).

Fields of papers citing papers by Devon K. Barrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devon K. Barrow. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Devon K. Barrow. The network helps show where Devon K. Barrow may publish in the future.

Co-authorship network of co-authors of Devon K. Barrow

This figure shows the co-authorship network connecting the top 25 collaborators of Devon K. Barrow. A scholar is included among the top collaborators of Devon K. Barrow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Devon K. Barrow. Devon K. Barrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Barrow, Devon K., et al.. (2024). Developing Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System. SHILAP Revista de lepidopterología. 6(1). 204–223. 1 indexed citations
2.
Barrow, Devon K., et al.. (2020). Automatic robust estimation for exponential smoothing: Perspectives from statistics and machine learning. Expert Systems with Applications. 160. 113637–113637. 37 indexed citations
3.
Kourentzes, Nikolaos, Juan R. Trapero, & Devon K. Barrow. (2019). Optimising forecasting models for inventory planning. International Journal of Production Economics. 225. 107597–107597. 57 indexed citations
4.
Kourentzes, Nikolaos, Juan R. Trapero, & Devon K. Barrow. (2019). Optimising Forecasting Models for Inventory Planning. SSRN Electronic Journal. 1 indexed citations
5.
Kourentzes, Nikolaos, Devon K. Barrow, & Fotios Petropoulos. (2018). Another look at forecast selection and combination: Evidence from forecast pooling. International Journal of Production Economics. 209. 226–235. 79 indexed citations
6.
Kourentzes, Nikolaos, Bahman Rostami-Tabar, & Devon K. Barrow. (2017). Demand forecasting by temporal aggregation: Using optimal or multiple aggregation levels?. Journal of Business Research. 78. 1–9. 41 indexed citations
7.
Barrow, Devon K. & Sven F. Crone. (2016). A comparison of AdaBoost algorithms for time series forecast combination. International Journal of Forecasting. 32(4). 1103–1119. 63 indexed citations
8.
Barrow, Devon K. & Nikolaos Kourentzes. (2016). The impact of special days in call arrivals forecasting: A neural network approach to modelling special days. European Journal of Operational Research. 264(3). 967–977. 39 indexed citations
9.
Barrow, Devon K. & Sven F. Crone. (2016). Cross-validation aggregation for combining autoregressive neural network forecasts. International Journal of Forecasting. 32(4). 1120–1137. 59 indexed citations
10.
Barrow, Devon K. & Nikolaos Kourentzes. (2016). Distributions of forecasting errors of forecast combinations: Implications for inventory management. International Journal of Production Economics. 177. 24–33. 75 indexed citations
11.
Barrow, Devon K.. (2016). Forecasting intraday call arrivals using the seasonal moving average method. Journal of Business Research. 69(12). 6088–6096. 27 indexed citations
12.
Kourentzes, Nikolaos, Devon K. Barrow, & Sven F. Crone. (2014). Neural network ensemble operators for time series forecasting. Expert Systems with Applications. 41(9). 4235–4244. 201 indexed citations
13.
Barrow, Devon K. & Sven F. Crone. (2013). Crogging (cross-validation aggregation) for forecasting — A novel algorithm of neural network ensembles on time series subsamples. University of Birmingham Research Portal (University of Birmingham). 1–8. 29 indexed citations
14.
Mitrović, Antonija, Stellan Ohlsson, & Devon K. Barrow. (2012). The effect of positive feedback in a constraint-based intelligent tutoring system. Computers & Education. 60(1). 264–272. 55 indexed citations
15.
Barrow, Devon K. & Sven F. Crone. (2011). Dynamic Model Selection and Combination in Forecasting: an Empirical Evaluation of Bagging and Boosting. Lancaster EPrints (Lancaster University). 2 indexed citations
16.
Barrow, Devon K., Sven F. Crone, & Nikolaos Kourentzes. (2010). An evaluation of neural network ensembles and model selection for time series prediction. University of Birmingham Research Portal (University of Birmingham). 31 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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