Aris Syntetos

103 papers receiving 3.8k citations

Peers

Aris Syntetos
Comparison fields: 5 of 109
  • Management Science and Operations Research 2.5k
  • Management Information Systems 1.9k
  • Strategy and Management 917
  • Statistics, Probability and Uncertainty 758
  • Industrial and Manufacturing Engineering 383
Replace John E. Boylan with:
John E. Boylan United Kingdom
M. Zied Babaï France
Jennifer K. Ryan United States
Ruud Teunter Netherlands
Seyed Meysam Mousavi Iran
Jan C. Fransoo Netherlands
Marcello Braglia Italy
Charles S. Tapiero United States
Behnam Vahdani Iran
Amy H.I. Lee Taiwan
Aris Syntetos relative to John E. Boylan United Kingdom John E. Boylan's profile →
Citations per field
00.5×1.5×2.5×
John E. Boylan · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 5
4 3
5 29
6
Forecasting and Inventory Control with Compound Poisson Demand Using Periodic Demand Data
1
7 82
8 9
9 12
10 3
11 188
12
On the calculation of safety stocks
3
13
Forecasting aggregate ARMA(1,1) demands: Theoretical analysis of top-down versus bottom-up
1
14 71
15 111
16 194
17 43
18 112
19 0
20 267

About Aris Syntetos

Aris Syntetos is a scholar working on Management Information Systems, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 109 papers that have together received 4.0k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (65 papers), Supply Chain and Inventory Management (55 papers) and Advanced Statistical Process Monitoring (26 papers). The work is most often cited by research in Management Information Systems (1.9k citations), Management Science and Operations Research (2.5k citations) and Statistics, Probability and Uncertainty (758 citations). Aris Syntetos has collaborated with scholars based in United Kingdom, France and Netherlands. Frequent 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. Their work appears in journals such as European Journal of Operational Research, Journal of Business Research and Journal of Operations Management.

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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