Illustrative Rendering, Visualization, and Human-Computer Interaction > AVIZ > Inria Saclay / Université Paris Saclay > Inria A Metadata Collection about IEEE Visualization (VIS) Publications



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 Vis. The information about each paper includes its title, abstract, authors, and citations to other papers in the conference series, among many other attributes. This article describes the motivation for creating the dataset, as well as our process of coalescing and cleaning the data, and a set of three visualizations we created to facilitate exploration of the data. This data is meant to be useful to the broad data visualization community to help understand the evolution of the field and as an example document collection for text data visualization research.

Paper download:  (1.1 MB)



These two images above are explicitly placed into the public domain. If you use them in your own work we would still appreciate a citation to our journal article.


Petra Isenberg, Florian Heimerl, Steffen Koch, Tobias Isenberg, Panpan Xu, Charles D. Stolper, Michael Sedlmair, Jian Chen, Torsten Möller, and John Stasko (2017) A Metadata Collection about IEEE Visualization (VIS) Publications. IEEE Transactions on Visualization and Computer Graphics, 23(9):2199–2206, September 2017.   doi

BibTeX entry:

@ARTICLE{Isenberg:2017:VMC, author = {Petra Isenberg and Florian Heimerl and Steffen Koch and Tobias Isenberg and Panpan Xu and Charles D. Stolper and Michael Sedlmair and Jian Chen and Torsten M{\"o}ller and John Stasko}, title = { A Metadata Collection about {IEEE} Visualization ({VIS}) Publications}, journal = {IEEE Transactions on Visualization and Computer Graphics}, year = {2017}, volume = {23}, number = {9}, month = sep, pages = {2199--2206}, doi = {10.1109/TVCG.2016.2615308}, doi_url = {}, url = {}, url2 = {}, pdf = {}, }

This work was a collaboration between the AVIZ project group of Inria, France, the School of Interactive Computing at Georgia Tech, USA, the Institute for Visualization and Interactive Systems at the , Germany, the Visualization and Data Analysis research group at the University of Vienna, Austria, and the Computer Science and Electrical Engineering department of the University of Maryland, Baltimore County, USA.