"To be or not to be central" - On the Stability of Network Centrality Measures in Shakespeare's "Hamlet". - Anastasia Klimashevskaia; Bernhard C. Geiger; Martin Hagmüller; Denis Helic; Frank Fischer 005 (DH, 2020)

Automatic News Article Generation from Legislative Proceedings: A Phenom-Based Approach. - Anastasia Klimashevskaia; Richa Gadgil; Thomas Gerrity; Foaad Khosmood; Christian Gütl; Patrick Howe (SLSP, 2021)

Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. - Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach; Christoph Trattner; Lars Skjærven (BIAS, 2022)

Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. - Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach; Lars Skjærven; Astrid Tessem; Christoph Trattner (RecSys, 2023)

Addressing Popularity Bias in Recommender Systems: An Exploration of Self-Supervised Learning Models. - Anastasiia Klimashevskaia; Mehdi Elahi; Christoph Trattner (UMAP (Adjunct Publication), 2023)

Empowering Editors: How Automated Recommendations Support Editorial Article Curation. - Anastasiia Klimashevskaia; Mehdi Elahi; Dietmar Jannach; Christoph Trattner (INRA@RecSys, 2024)

A survey on popularity bias in recommender systems. - Anastasiia Klimashevskaia; Dietmar Jannach; Mehdi Elahi; Christoph Trattner (User Model. User Adapt. Interact., 2024)

Evaluating Sequential Recommendations in the Wild: A Case Study on Offline Accuracy, Click Rates, and Consumption. - Anastasiia Klimashevskaia; Snorre Alvsvåg; Christoph Trattner; Alain D. Starke; Astrid Tessem; Dietmar Jannach (ECIR (2), 2025)