Visualization

S. Miksch, “Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities”, vol. 247. Schloss Dagstuhl — Leibniz-Zentrum für Informatik, Dagstuhl, Germany, pp. 1-2, 2022.

B. Lee et al., “VIS 2021 - Preface”, IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, p. xiv-xxiii, 2022.

V. Filipov, Arleo, A., and Miksch, S., “Exploratory User Study on Graph Temporal Encodings”. IEEE 14th Pacific Visualization Symposium (PacificVis), Tianjin, China, pp. 126-130, 2021.

R. A. Leite, Gschwandtner, T., Miksch, S., Gstrein, E., and Kuntner, J., “NEVA: Visual Analytics to Identify Fraudulent Networks”, Computer Graphics Forum, vol. 39, no. 6, 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.

D. Ceneda et al., “Guide Me in Analysis: A Framework for Guidance Designers”, Computer Graphics Forum, vol. 39, no. 6, p. 19, 2020.

V. Schetinger, Raminger, K., Filipov, V., Soursos, N., Zapke, S., and Miksch, S., “Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle”. 2020.

C. Bors et al., “A Provenance Task Abstraction Framework”, IEEE Computer Graphics and Applications, vol. 39, no. 6, p. 15, 2019.

V. Filipov, Arleo, A., Federico, P., and Miksch, S., “CV3: Visual Exploration, Assessment, and Comparison of CVs”, Computer Graphics Forum, vol. 38, no. 3, p. 11, 2019.

N. Andrienko et al., “Viewing Visual Analytics as Model Building”, Computer Graphics Forum, vol. 37, no. 1, pp. 275–299, 2018.