
From empirical data on the authorship of scientific papers, Alfred Lotka deduced on inverse-square law relating the number of authors of scientific papers to the number of papers written by each author. A basic assumption underlying Lotka's law is that the number of papers published by a scientist is a measure of his contribution to science. This assumption is debatable. In this paper Lotka's law is applied to the literature of computer science. The inconsistent results of earlier attempts to apply Lotka's law to the literature of various scientific disciplines, including computer science, are ascribed to the differences in sampling procedure and treatment of multiple authorship.
| 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). | 14 | |
| 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
