
Modeled non-smoothed data of the FGN heavy-tail process used in papers1. Gorev V. N. On the Use of the Kolmogorov–Wiener Filter for Heavy-tail Process Prediction / V.N. Gorev, A.Yu. Gusev, V.I. Korniienko, Y.I. Shedlovska// Journal of Cyber Security and Mobility, 12(3): 315-338 (2023). https://doi.org/10.13052/jcsm2245-1439.123.42. Gorev V. The use of the Kolmogorov–Wiener filter for prediction of heavy-tail stationary processes/ V. Gorev, A. Gusev, V. Korniienko // Ceur Workshop Proceedings. – Vol. 3156. – P. 150–159, 2022. http://ceur-ws.org/Vol-3156/paper9.pdf
| 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 |
