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Includes Matlab code for weighted comb filters based on kernel convolution. Kernel shape can be convex or concave, delayed, symmetric or causal. Weight functions can be uniform, linear, exponential, gaussian or empirically based on periodic autocorrelation. Additional implemented filters are a causal complex filter (essentially a kernel version of a discrete Fourier filter) and periodic principal component removal.
| 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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