Wissenschaftliche Artikel

Baumgartl, T., Ghoniem, M., von Landesberger, T., Marai, G. E., Miksch, S., Mohr, S., Scheithauer, S., & Srivastava, N. (2025). Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users. IEEE Computer Graphics and Applications, 45(1), 130–138. https://doi.org/10.1109/MCG.2024.3509293 ( reposiTUm)
Filipov, V., Ceneda, D., Archambault, D., & Arleo, A. (2024). TimeLighting: Guided Exploration of 2D Temporal Network Projections. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.34726/8209 ( reposiTUm)
Vago, B., Archambault, D., & Arleo, A. (2024). DynTrix: a hybrid representation for dynamic graphs. Computer Graphics Forum, 43(3), Article e15076. https://doi.org/10.1111/cgf.15076 ( reposiTUm)
Di Ciccio, C., Miksch, S., Soffer, P., Weber, B., & Meroni, G. (2024). Human in the (Process) Mines. Dagstuhl Reports, 13(7), Article DagRep.13.7.1. https://doi.org/10.4230/DagRep.13.7.1 ( reposiTUm)
Miksch, S., Di Ciccio, C., Soffer, P., & Weber, B. (2024). Visual Analytics Meets Process Mining: Challenges and Opportunities. IEEE Computer Graphics and Applications, 44(6), 132–141. https://doi.org/10.1109/MCG.2024.3456916 ( reposiTUm)

Beiträge in Tagungsbänden

Herl, N.-M., & Filipov, V. (2024). AdMaTilE: Visualizing Event-Based Adjacency Matrices in a Multiple-Coordinated-Views System. In S. Felsner & Karsten Klein (Eds.), 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024) (pp. 46:1-46:3). https://doi.org/10.34726/7180 ( reposiTUm)