We present the results of a comprehensive multi-pass analysis of visualization paper
keywords supplied by authors for their papers published in the IEEE Visualization …

Promoting a wider range of contribution types can facilitate healthy growth of the
visualization community, while increasing the intellectual diversity of visualization research …

We present an assessment of the state and historic development of evaluation practices as
reported in papers published at the IEEE Visualization conference. Our goal is to reflect on a …

Abstract Information visualization is a rapidly evolving field with a growing volume of
scientific literature and texts continually published. To keep abreast of the latest …

Abstract Information visualization as a field is growing rapidly in popularity since the first
information visualization conference in 1995. However, as a consequence of its growth, it is …

Scientific visualization as currently understood and practiced is still a relatively new
discipline. As a result, we visualization researches are not necessarily accustomed to …

We present the novel high-level visualization taxonomy. Our taxonomy classifies
visualization algorithms rather than data. Algorithms are categorized based on the …

We have created and made available to all a dataset with information about every paper that
has appeared at the IEEE Visualization (VIS) set of conferences: InfoVis, SciVis, VAST, and …

We present the VIS30K dataset, a collection of 29,689 images that represents 30 years of
figures and tables from each track of the IEEE Visualization conference series (Vis, SciVis …

We develop a new perspective on research conducted through visualization design study
that emphasizes design as a method of inquiry and the broad range of knowledge …