Impact of COVID-19 research: a study on predicting influential scholarly documents using machine learning and a domain-independent knowledge graph. - Gollam Rabby; Jennifer D'Souza 001; Allard Oelen; Lucie Dvorackova; Vojtech Svátek; Sören Auer (J. Biomed. Semant., 2023)

Explaining word embeddings with perfect fidelity: Case study in research impact prediction. - Lucie Dvorackova; Marcin P. Joachimiak; Michal Cerny; Adriana Kubecova; Vilém Sklenák; Tomás Kliegr (CoRR, 2024)

Analyzing word embeddings and their impact on semantic similarity: through extreme simulated conditions to real dataset characteristics. - Lucie Dvorackova (Neural Comput. Appl., 2025)