Aris Syntetos

5.9k total citations
109 papers, 4.0k citations indexed

About

Aris Syntetos is a scholar working on Management Science and Operations Research, Management Information Systems and Statistics, Probability and Uncertainty. According to data from OpenAlex, Aris Syntetos has authored 109 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Management Science and Operations Research, 59 papers in Management Information Systems and 26 papers in Statistics, Probability and Uncertainty. Recurrent topics in Aris Syntetos's work include Forecasting Techniques and Applications (65 papers), Supply Chain and Inventory Management (55 papers) and Advanced Statistical Process Monitoring (26 papers). Aris Syntetos is often cited by papers focused on Forecasting Techniques and Applications (65 papers), Supply Chain and Inventory Management (55 papers) and Advanced Statistical Process Monitoring (26 papers). Aris Syntetos collaborates with scholars based in United Kingdom, France and Netherlands. Aris Syntetos's co-authors include John E. Boylan, M. Zied Babaï, Ruud Teunter, Κωνσταντίνος Νικολόπουλος, Mohammad Ali, Mohamed Mohamed Naim, Robert Fildes, Sven F. Crone, Stephen Michael Disney and Borja Ponte and has published in prestigious journals such as European Journal of Operational Research, Journal of Business Research and Journal of Operations Management.

In The Last Decade

Aris Syntetos

103 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aris Syntetos United Kingdom 35 2.5k 1.9k 917 758 383 109 4.0k
John E. Boylan United Kingdom 29 2.4k 1.0× 1.3k 0.7× 445 0.5× 734 1.0× 155 0.4× 79 3.1k
Amy H.I. Lee Taiwan 31 2.2k 0.9× 998 0.5× 1.7k 1.8× 384 0.5× 520 1.4× 99 4.4k
M. Zied Babaï France 29 1.1k 0.4× 1.0k 0.5× 493 0.5× 331 0.4× 275 0.7× 77 2.1k
Marcello Braglia Italy 33 1.4k 0.6× 1.5k 0.8× 1.1k 1.2× 608 0.8× 1.0k 2.6× 132 4.3k
Geert‐Jan van Houtum Netherlands 34 679 0.3× 1.9k 1.0× 762 0.8× 321 0.4× 942 2.5× 160 3.4k
Ahmad Makui Iran 32 1.2k 0.5× 833 0.4× 1.1k 1.2× 119 0.2× 838 2.2× 256 3.5k
Seyed Jafar Sadjadi Iran 34 1.2k 0.5× 878 0.5× 905 1.0× 166 0.2× 1.1k 2.8× 174 3.6k
Zhen He China 33 882 0.4× 685 0.4× 692 0.8× 961 1.3× 396 1.0× 243 3.7k
Jennifer K. Ryan United States 20 834 0.3× 2.2k 1.1× 1.4k 1.6× 230 0.3× 437 1.1× 53 3.6k
Wenyan Song China 30 1.2k 0.5× 302 0.2× 920 1.0× 419 0.6× 288 0.8× 77 2.7k

Countries citing papers authored by Aris Syntetos

Since Specialization
Citations

This map shows the geographic impact of Aris Syntetos'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 Aris Syntetos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aris Syntetos more than expected).

Fields of papers citing papers by Aris Syntetos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aris Syntetos. 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 Aris Syntetos. The network helps show where Aris Syntetos may publish in the future.

Co-authorship network of co-authors of Aris Syntetos

This figure shows the co-authorship network connecting the top 25 collaborators of Aris Syntetos. A scholar is included among the top collaborators of Aris Syntetos 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 Aris Syntetos. Aris Syntetos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Babaï, M. Zied, Aris Syntetos, & Ruud Teunter. (2025). Fifty years of inventory research from a forecasting perspective. European Journal of Operational Research. 331(1). 1–20. 1 indexed citations
2.
Syntetos, Aris, et al.. (2024). Additive manufacturing for standard parts in the healthcare supply chain: What are the available performance improvements?. International Journal of Production Research. 1–19. 2 indexed citations
3.
Glock, C. H., et al.. (2022). On the causes of positive inventory discrepancies in retail stores. International Journal of Physical Distribution & Logistics Management. 52(5/6). 414–430. 5 indexed citations
4.
Ponte, Borja, Salvatore Cannella, Roberto Domínguez, Mohamed Mohamed Naim, & Aris Syntetos. (2021). Quality grading of returns and the dynamics of remanufacturing. International Journal of Production Economics. 236. 108129–108129. 29 indexed citations
5.
Teunter, Ruud, et al.. (2018). Forecasting and Inventory Control with Compound Poisson Demand Using Periodic Demand Data. University of Groningen research database (University of Groningen / Centre for Information Technology). 2018(10). 1 indexed citations
6.
Ponte, Borja, et al.. (2018). The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems. International Journal of Production Research. 57(23). 7361–7394. 82 indexed citations
7.
Saccani, Nicola, et al.. (2017). The Repair Kit Problem with positive replenishment lead times and fixed ordering costs. European Journal of Operational Research. 261(3). 893–902. 12 indexed citations
8.
Scarf, Phil, et al.. (2017). Joint optimisation of inspection maintenance and spare parts provisioning: a comparative study of inventory policies using simulation and survey data. Reliability Engineering & System Safety. 168. 306–316. 43 indexed citations
9.
Syntetos, Aris, et al.. (2015). Forecasting of compound Erlang demand. Journal of the Operational Research Society. 66(12). 2061–2074. 3 indexed citations
10.
Rostami-Tabar, Bahman, M. Zied Babai, Yves Ducq, & Aris Syntetos. (2015). Non-stationary demand forecasting by cross-sectional aggregation. International Journal of Production Economics. 170. 297–309. 16 indexed citations
11.
Syntetos, Aris & Ruud Teunter. (2014). On the calculation of safety stocks. University of Groningen research database (University of Groningen / Centre for Information Technology). 3 indexed citations
12.
Rostami-Tabar, Bahman, M. Zied Babaï, Aris Syntetos, & Yves Ducq. (2013). Forecasting aggregate ARMA(1,1) demands: Theoretical analysis of top-down versus bottom-up. 1–8. 1 indexed citations
13.
Petrov́ić, Dobrila & Aris Syntetos. (2013). Selected keynote papers from the 2011 OR Society Conference: any evidence from the UK that OR 'bridges the gap'?. IMA Journal of Management Mathematics. 24(4). 377–379. 1 indexed citations
14.
Syntetos, Aris, M. Zied Babaï, & Nezih Altay. (2011). On the demand distributions of spare parts. International Journal of Production Research. 50(8). 2101–2117. 71 indexed citations
15.
Martin, Harry, et al.. (2010). Integrating the spare parts supply chain: an inter‐disciplinary account. Journal of Manufacturing Technology Management. 21(2). 226–245. 32 indexed citations
16.
Syntetos, Aris, et al.. (2009). Demand categorisation in a European spare parts logistics network. International Journal of Operations & Production Management. 29(3). 292–316. 79 indexed citations
17.
Fildes, Robert, Κωνσταντίνος Νικολόπουλος, Sven F. Crone, & Aris Syntetos. (2008). Forecasting and operational research: a review. Journal of the Operational Research Society. 59(9). 1150–1172. 194 indexed citations
18.
Babaï, M. Zied, Aris Syntetos, Yves Dallery, & Κωνσταντίνος Νικολόπουλος. (2008). Dynamic re-order point inventory control with lead-time uncertainty: analysis and empirical investigation. International Journal of Production Research. 47(9). 2461–2483. 43 indexed citations
19.
Boylan, John E., et al.. (2006). Classification for forecasting and stock control: a case study. Journal of the Operational Research Society. 59(4). 473–481. 112 indexed citations
20.
Syntetos, Aris, et al.. (2004). On the categorization of demand patterns. Journal of the Operational Research Society. 56(5). 495–503. 267 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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