Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora. - Lukas Galke; Tetyana Melnychuk; Eva Seidlmayer; Steffen Trog; Konrad U. Förstner; Carsten Schultz; Klaus Tochtermann (GI-Jahrestagung, 2019)

Take it Personally - A Python library for data enrichment for infometrical applications. - Eva Seidlmayer; Lukas Galke; Tetyana Melnychuk (SEMANTiCS (Posters & Demos), 2019)

ORCID for Wikidata. Data enrichment for scientometric applications. - Eva Seidlmayer; Jakob Voß; Tetyana Melnychuk; Lukas Galke; Klaus Tochtermann; Carsten Schultz; Konrad U. Förstner (Wikidata@ISWC, 2020)

COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. - Lukas Galke; Eva Seidlmayer; Gavin Lüdemann; Lisa Langnickel; Tetyana Melnychuk; Konrad U. Förstner; Klaus Tochtermann; Carsten Schultz (IEEE BigData, 2021)

Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence. - Tetyana Melnychuk; Lukas Galke; Eva Seidlmayer; Stefanie Bröring; Konrad U. Förstner; Klaus Tochtermann; Carsten Schultz (IEEE Trans. Engineering Management, 2024)

Research topic displacement and the lack of interdisciplinarity: lessons from the scientific response to COVID-19. - Eva Seidlmayer; Tetyana Melnychuk; Lukas Galke; Lisa Kühnel; Klaus Tochtermann; Carsten Schultz; Konrad U. Förstner (Scientometrics, 2024)