World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
41
Citations
6886
World Ranking
1594
National Ranking
253

Aris A. Syntetos publication distribution in Business and Management in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Business and Management in 2026. The highlighted bar marks where Aris A. Syntetos sits on this spectrum.

35–39 publications: 2 scientists 40–44 publications: 2 scientists 45–49 publications: 5 scientists 50–54 publications: 20 scientists 55–59 publications: 39 scientists 60–64 publications: 66 scientists 65–69 publications: 52 scientists 70–74 publications: 80 scientists 75–79 publications: 83 scientists 80–84 publications: 116 scientists 85–89 publications: 94 scientists 90–94 publications: 111 scientists 95–99 publications: 122 scientists 100–104 publications: 104 scientists 105–109 publications: 113 scientists 110–114 publications: 96 scientists 115–119 publications: 97 scientists 120–124 publications: 112 scientists 125–129 publications: 93 scientists 130–134 publications: 79 scientists 135–139 publications: 69 scientists 140–144 publications: 80 scientists 145–149 publications: 81 scientists 150–154 publications: 85 scientists 155–159 publications: 50 scientists 160–164 publications: 74 scientists 165–169 publications: 61 scientists 170–174 publications: 40 scientists 175–179 publications: 44 scientists 180–184 publications: 47 scientists 185–189 publications: 59 scientists 190–194 publications: 35 scientists 195–199 publications: 37 scientists 200–204 publications: 49 scientists 205–209 publications: 48 scientists 210–214 publications: 34 scientists 215–219 publications: 31 scientists 220–224 publications: 37 scientists 225–229 publications: 34 scientists 230–234 publications: 25 scientists 235–239 publications: 28 scientists 240–244 publications: 34 scientists 245–249 publications: 28 scientists 250–254 publications: 23 scientists 255–259 publications: 22 scientists 260–264 publications: 11 scientists 265–269 publications: 16 scientists 270–274 publications: 23 scientists 275–279 publications: 12 scientists 280–284 publications: 16 scientists 285–289 publications: 10 scientists 290–294 publications: 12 scientists 295–299 publications: 12 scientists 300–304 publications: 8 scientists 305–309 publications: 13 scientists 310–314 publications: 13 scientists 315–319 publications: 6 scientists 320–324 publications: 10 scientists 325–329 publications: 9 scientists 330–334 publications: 7 scientists 335–339 publications: 10 scientists 340–344 publications: 10 scientists 345–349 publications: 7 scientists 350–354 publications: 4 scientists 355–359 publications: 10 scientists 360–364 publications: 3 scientists 365–369 publications: 7 scientists 370–374 publications: 2 scientists 375–379 publications: 8 scientists 380–384 publications: 4 scientists 385–389 publications: 5 scientists 390–394 publications: 5 scientists 395–399 publications: 2 scientists 400–404 publications: 2 scientists 405–409 publications: 4 scientists 410–414 publications: 3 scientists 415–419 publications: 2 scientists 420–424 publications: 5 scientists 425–429 publications: 3 scientists 430–434 publications: 1 scientists 435 publications: 1 scientists 436+ publications: 100 scientists
35 publications 436+

This scientist: 141 publications — 53rd percentile

53% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 436 publications or more.

Aris A. Syntetos D-index placement in Business and Management in 2026

The chart shows the D-index (discipline H-index) distribution of Business and Management scientists ranked by Research.com in 2026. The highlighted bar marks where Aris A. Syntetos sits on this spectrum.

30 D-Index: 156 scientists 31 D-Index: 159 scientists 32 D-Index: 171 scientists 33 D-Index: 161 scientists 34 D-Index: 135 scientists 35 D-Index: 124 scientists 36 D-Index: 114 scientists 37 D-Index: 111 scientists 38 D-Index: 103 scientists 39 D-Index: 89 scientists 40 D-Index: 81 scientists 41 D-Index: 97 scientists 42 D-Index: 80 scientists 43 D-Index: 69 scientists 44 D-Index: 68 scientists 45 D-Index: 63 scientists 46 D-Index: 54 scientists 47 D-Index: 69 scientists 48 D-Index: 50 scientists 49 D-Index: 58 scientists 50 D-Index: 54 scientists 51 D-Index: 62 scientists 52 D-Index: 54 scientists 53 D-Index: 43 scientists 54 D-Index: 49 scientists 55 D-Index: 35 scientists 56 D-Index: 40 scientists 57 D-Index: 44 scientists 58 D-Index: 34 scientists 59 D-Index: 29 scientists 60 D-Index: 48 scientists 61 D-Index: 32 scientists 62 D-Index: 30 scientists 63 D-Index: 22 scientists 64 D-Index: 22 scientists 65 D-Index: 19 scientists 66 D-Index: 20 scientists 67 D-Index: 18 scientists 68 D-Index: 17 scientists 69 D-Index: 21 scientists 70 D-Index: 20 scientists 71 D-Index: 19 scientists 72 D-Index: 14 scientists 73 D-Index: 10 scientists 74 D-Index: 16 scientists 75 D-Index: 24 scientists 76 D-Index: 13 scientists 77 D-Index: 19 scientists 78 D-Index: 8 scientists 79 D-Index: 6 scientists 80 D-Index: 4 scientists 81 D-Index: 12 scientists 82 D-Index: 7 scientists 83 D-Index: 7 scientists 84 D-Index: 6 scientists 85 D-Index: 10 scientists 86 D-Index: 4 scientists 87 D-Index: 11 scientists 88 D-Index: 6 scientists 89+ D-Index: 96 scientists
30 D-Index 89+

This scientist: 41 D-Index — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 89 D-Index or more.

Overview

Aris A. Syntetos is affiliated with Cardiff University in the United Kingdom. Their primary research spans multiple fields including Decision Sciences, Business, Management and Accounting, and Engineering. Within these areas, their work focuses notably on Management Science and Operations Research, Management Information Systems, Industrial and Manufacturing Engineering, as well as Statistics, Probability and Uncertainty, and Strategy and Management.

Their research topics cover a range of applied forecasting and operational challenges. Key areas include Forecasting Techniques and Applications, Supply Chain and Inventory Management, Advanced Statistical Process Monitoring, Energy Load and Power Forecasting, Stock Market Forecasting Methods, Reliability and Maintenance Optimization, and Vehicle Routing Optimization Methods.

Frequent publication venues for their work include:

  • European Journal of Operational Research
  • IMA Journal of Management Mathematics
  • International Journal of Forecasting
  • International Journal of Production Research
  • arXiv (Cornell University)

Among their recent published papers are:

  • Forecasting: theory and practice (2022, BOA - University of Milano-Bicocca)
  • Predictive maintenance using cox proportional hazard deep learning (2020, Advanced Engineering Informatics)
  • Inventory - forecasting: Mind the gap (2021, European Journal of Operational Research)
  • Last mile logistics: Research trends and needs (2022, IMA Journal of Management Mathematics)
  • Quality grading of returns and the dynamics of remanufacturing (2021, International Journal of Production Economics)

Aris A. Syntetos has also contributed to academic literature through book publications, including the title Intermittent Demand Forecasting - Context, methods and applications published in 2022 by Lancaster University.

Collaboration with other researchers is reflected in several frequent co-authors, who have contributed to multiple publications alongside them, such as M. Zied Babaï, Bahman Rostami-Tabar, John E. Boylan, Mohamed Mohamed Naim, and Ruud Teunter.

Best Publications

  • The accuracy of intermittent demand estimates

    Argyrios Syntetos;John E. Boylan

  • On the categorization of demand patterns.

    Aris A. Syntetos;John E. Boylan;J. D. Croston

  • Forecasting and operational research : a review

    Robert Fildes;Konstantinos Nikolopoulos;Sven F. Crone;Aris A. Syntetos

  • Supply chain forecasting: Theory, practice, their gap and the future

    Aris Syntetos;Zied Babai;John Edward Boylan;Stephan Kolassa

  • Intermittent demand: Linking forecasting to inventory obsolescence

    Ruud H. Teunter;Argyrios Syntetos;M. Zied Babai

  • ABC classification: service levels and inventory costs

    R.H. Teunter;M.Z. Babai;A.A. Syntetos

  • Classification for forecasting and stock control: a case study

    John E. Boylan;Aris A. Syntetos;G. C. Karakostas

  • On the stock control performance of intermittent demand estimators

    Argyrios Syntetos;John E. Boylan

  • Spare parts management : a review of forecasting research and extensions

    John E. Boylan;Aris A. Syntetos

  • Forecasting for inventory planning: a 50-year review

    Argyrios Syntetos;J. E. Boylan;Stephen Michael Disney

  • Demand categorisation in a European spare parts logistics network

    Argyrios Syntetos;M. Keyes;M. Z. Babai

  • Supply chain forecasting when information is not shared

    Mohammad Ali;Mohamed Zied Babai;John E. Boylan;Aris A. Syntetos

  • Forecasting and Inventory Performance in a Two-Stage Supply Chain with ARIMA(0,1,1) Demand: Theory and Empirical Analysis

    M. Z. Babai;Mohammad Mojiballah Ali;John Boylan;Aris A. Syntetos

  • On the demand distributions of spare parts

    Aris A Syntetos;Mohamed Zied Babai;Nezih Altay

  • Forecast errors and inventory performance under forecast information sharing

    Mohammad Mojiballah Ali;John Boylan;Aris A. Syntetos

  • Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping

    Unknown

  • On the calculation of safety stocks when demand is forecasted

    Dennis Prak;Ruud H. Teunter;Aris A. Syntetos

  • Determining order-up-to levels under periodic review for compound binomial (intermittent) demand

    R. H. Teunter;Argyrios Syntetos;M. Z. Babai

  • The boomerang returns? Accounting for the impact of uncertainties on the dynamics of remanufacturing systems

    Thanos E. Goltsos;Borja Ponte;Shixuan Wang;Ying Liu

  • Demand forecasting by temporal aggregation

    Unknown

  • Economies of collaboration in build-to-model operations

    Carl Philip T. Hedenstierna;Stephen M. Disney;Daniel R. Eyers;Jan Holmström

  • Spare parts management: Linking distributional assumptions to demand classification

    D. Lengu;Argyrios Syntetos;M. Z. Babai

  • Intermittent demand forecasting: An empirical study on accuracy and the risk of obsolescence

    Mohamed Zied Babai;Argyrios Syntetos;Ruud Teunter

  • Forecasting for inventory management of service parts

    John E. Boylan;Aris A. Syntetos

  • Dynamic Re-order Point Inventory Control with Lead-Time Uncertainty: Analysis and Empirical Investigation

    Mohamed Zied Babai;Aris A Syntetos;Yves Dallery;Kostantinos Nikolopoulos

Frequent Co-Authors

M. Z. Babai
M. Z. Babai Kedge Business School
Ruud H. Teunter
Ruud H. Teunter University of Groningen
Mohamed Mohamed Naim
Mohamed Mohamed Naim Cardiff University
Nezih Altay
Nezih Altay DePaul University
Rob J. Hyndman
Rob J. Hyndman Monash University
Christoph H. Glock
Christoph H. Glock Technical University of Darmstadt
Paul Goodwin
Paul Goodwin University of Bath
Spyros Makridakis
Spyros Makridakis University of Nicosia
Robert L. Winkler
Robert L. Winkler Duke University
Sonia Leva
Sonia Leva Polytechnic University of Milan

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