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As time series forecasting is an essential pillar in many decision-making fields, there is a broad range of academic work concerning forecasting. To this end, we reviewed 100 scientific papers published during the last 40 years. The papers were collected from the search engines: Google Schoolar, Mendely, IEEE Xplore, and Semantic Scholar. We select papers that have attracted at least on average 8.5 cites per year. The selected papers cover different topics, for example, supply chain demand, river flow, tourism, traffic, stock prices, electric/power demand, and many more.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 4 |

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