
doi: 10.1007/bf02026411
Is is shown, using rigorous statistical tests, that the number of journals (J) carryingp papers in a given subject can be expressed as a simple power law functionJ(p)=K p−γ, K and γ being constants. The standard maximum likelihood method of estimating γ has been suitably modified to take acoount of the fact thatp is a discrete integer variable. The parameter γ entirely characterises the scatter of articles in journals in a given bibliography. According to a dynamic model proposed earlier by the author, γ is a measure of the relative growth rates of papers and journals pertaining to the subject.
| 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). | 6 | |
| 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 |
