Generating Simple Directed Social Network Graphs for Information Spreading. - Christoph Schweimer; Christine Gfrerer; Florian Lugstein; David Pape; Jan A. Velimsky; Robert Elsässer; Bernhard C. Geiger (WWW, 2022)

Real-world-robustness of tree-based classifiers. - Christoph Schweimer; Sebastian Scher (CoRR, 2022)

Fast generation of simple directed social network graphs with reciprocal edges and high clustering. - Christoph Schweimer (Soc. Netw. Anal. Min., 2022)

A Rayleigh-Ritz Autoencoder. - Anika Terbuch; Paul O'Leary; Dimitar Ninevski; Elias Jan Hagendorfer; Elke Schlager; Andreas Windisch; Christoph Schweimer (I2MTC, 2023)

Profiling and optimization of Python-based social sciences applications on HPC systems by means of task and data parallelism. - Lukasz Szustak; Marcin Lawenda; Sebastian Arming; Gregor Bankhamer; Christoph Schweimer; Robert Elsässer (Future Gener. Comput. Syst., 2023)