We present a contemporary classification of visual knowledge representations into clusters within a two dimensional space, as well as a visual hierarchy depicting pairwise similarity between representations. The work in this paper follows the process carried out by Lohse et al. in their paper entitled `Classifying Visual Knowledge Representations' (Lohse et al. 1990). The images for the study were collected from the VisWeek 2012 proceedings for the InfoVis conference. The results show a progressive blending of visualization types that was not so prevalent in the Lohse paper. This is indicative of the progression from distinct visualization categories to composite designs within the visualization community.