Data visualization

J. Schmidt, Pointner, B., and Miksch, S., “Visual Analytics for Understanding Draco s Knowledge Base”, IEEE Transactions on Visualization and Computer Graphics, vol. 30, pp. 392-402, 2024.
R. A. Leite, Arleo, A., Sorger, J., Gschwandtner, T., and Miksch, S., “Hermes: Guidance-enriched Visual Analytics for economic network exploration”, Visual Informatics, Elsevier, vol. 4, no. 4, 2020.
F. Windhager et al., “Many Views Are Not Enough: Designing for Synoptic Insights in Cultural Collections”, IEEE Computer Graphics and Applications, vol. 40, pp. 58-71, 2020.
C. Bors et al., “A Provenance Task Abstraction Framework”, IEEE Computer Graphics and Applications, vol. 39, no. 6, p. 15, 2019.
C. Bors, Gschwandtner, T., and Miksch, S., “Capturing and Visualizing Provenance From Data Wrangling”, IEEE Computer Graphics and Applications, vol. 39, no. 6, p. 15, 2019.
S. Kriglstein, Pohl, M., and Stachl, C., “Animation for Time-oriented Data: An Overview of Empirical Research”, in 16th International Conference on Information Visualisation (IV), 2012, pp. 30 -35.