| Forecasting: theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting 38 (3), 705-871, 2022 | 539 | 2022 |
| Investigating the added value of integrating human judgement into statistical demand forecasting systems P Baecke, S De Baets, K Vanderheyden International Journal of Production Economics 191, 85-96, 2017 | 56 | 2017 |
| Using judgment to select and adjust forecasts from statistical models S De Baets, N Harvey European Journal of Operational Research 284 (3), 882-895, 2020 | 42 | 2020 |
| Forecasting from time series subject to sporadic perturbations: Effectiveness of different types of forecasting support S De Baets, N Harvey International Journal of Forecasting 34 (2), 163-180, 2018 | 40 | 2018 |
| Judgmental forecast adjustments over different time horizons M Van den Broeke, S De Baets, A Vereecke, P Baecke, K Vanderheyden Omega 87, 34-45, 2019 | 30 | 2019 |
| Does cognitive style diversity affect performance in dyadic student teams? K Vanderheyden, S De Baets Learning and Individual Differences 38, 143-150, 2015 | 30 | 2015 |
| Forecast adjustments during post-promotional periods HC Hewage, HN Perera, S De Baets European Journal of Operational Research 300 (2), 461-472, 2022 | 22 | 2022 |
| Trusting forecasts D Önkal, MS Gönül, S De Baets Futures & Foresight Science 1 (3-4), e19, 2019 | 22 | 2019 |
| Development of the loss aversion questionnaire S De Baets, M Buelens | 18 | 2012 |
| Ziel, F.(2022). Forecasting: Theory and practice F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ... International Journal of Forecasting, 0 | 11 | |
| Learning later in life: the older worker’s perspective S De Baets, V Warmoes Working and ageing, 1850, 1850 | 9 | 1850 |
| Individual differences in the susceptibility to forecasting biases S De Baets, K Vanderheyden Applied Cognitive Psychology 35 (4), 1106-1114, 2021 | 5 | 2021 |
| Surveying forecasting: a review and directions for future research SD Baets International Journal of Information and Decision Sciences 13 (2), 111-126, 2021 | 4 | 2021 |
| Past‐future synergies: Commentary on Schoemaker 2020 D Önkal, S De Baets Futures & Foresight Science 2 (3-4), 2020 | 3 | 2020 |
| Allowing for promotion effects in forecasting: Effects of judgment and formal forecasts S De Baets | 3 | 2017 |
| Do risky scenarios affect forecasts of savings and expenses? S De Baets, D Önkal, W Ahmed Forecasting 4 (1), 307-334, 2022 | 2 | 2022 |
| Group goal setting in age-diverse teams: investigating the role of goal clarity and reflexivity T Davidson, K Dewettinck, S De Baets | 2 | 2012 |
| Incorporating external factors into time series forecasts S De Baets, N Harvey Judgment in Predictive Analytics, 265-287, 2023 | 1 | 2023 |
| Hello World: How to Be Human in the Age of the Machine by Hannah Fry S De Baets Foresight: The International Journal of Applied Forecasting, 4-6, 2020 | 1 | 2020 |
| Menselijke aanpassingen bij het voorspellen van demand: motivaties en succesfactoren R Fildes, P Goodwin, S De Baets STAtOR 24 (3-4), 22-25, 2023 | | 2023 |
Dilek OnkalNewcastle Business School, Northumbria UniversityVerified email at northumbria.ac.uk
