Visualizing Transport and Mixing in Particle-based Fluid Flows. - Tobias Rapp; Carsten Dachsbacher (VMV, 2019)

Applying Visual Analytics to Physically Based Rendering. - Gerard Simons; Sebastian Herholz; Victor Petitjean; Tobias Rapp; Marco Ament; Hendrik P. A. Lensch; Carsten Dachsbacher; Martin Eisemann; Elmar Eisemann (Comput. Graph. Forum, 2019)

Moment-Based Opacity Optimization. - Mahmoud Zeidan; Tobias Rapp; Christoph Peters 002; Carsten Dachsbacher (EGPGV@Eurographics/EuroVis, 2020)

Uncertain Transport in Unsteady Flows. - Tobias Rapp; Carsten Dachsbacher (IEEE VIS (Short Papers), 2020)

Void-and-Cluster Sampling of Large Scattered Data and Trajectories. - Tobias Rapp; Christoph Peters 002; Carsten Dachsbacher (IEEE Trans. Vis. Comput. Graph., 2020)

Stochastic Volume Rendering of Multi-Phase SPH Data. - Max Piochowiak; Tobias Rapp; Carsten Dachsbacher (Comput. Graph. Forum, 2021)

Visual Analysis of Large Multivariate Scattered Data using Clustering and Probabilistic Summaries. - Tobias Rapp; Christoph Peters 002; Carsten Dachsbacher (IEEE Trans. Vis. Comput. Graph., 2021)

Visuelle Analyse großer Partikeldaten. - Tobias Rapp (2021)

Versatile Geometric Flow Visualization by Controllable Shape and Volumetric Appearance. - Mahmoud Zeidan; Christoph Peters 002; Tobias Rapp; Carsten Dachsbacher (STAG, 2022)

Image-based Visualization of Large Volumetric Data Using Moments. - Tobias Rapp; Christoph Peters 002; Carsten Dachsbacher (IEEE Trans. Vis. Comput. Graph., 2022)