Elias Entrup

Elias Entrup is a Researcher in the Visual Analytics group at TIB – Leibniz Information Centre for Science and Technology, affiliated with Leibniz University Hannover. His work focuses on developing computational methods for scholarly communication, with expertise in natural language processing and bibliometrics.

Research Focus: Entrup's research centers on enhancing academic publishing through machine learning. Key areas include:

• Journal recommendation systems (e.g., the B!SON tool for open-access venues)
• Analysis of editorial decisions and journal characteristics
• Cross-domain NLP for scholarly text classification
• Bibliometric pattern extraction

Publication Trends: His recent work (2022-2024) demonstrates consistent focus on NLP-driven solutions for academic publishing, particularly journal recommendation algorithms and scholarly text analysis. Research combines machine learning with bibliometric analysis to address challenges in open-access publishing.

Team Affiliation: Contributes to the Visual Analytics research group at TIB, collaborating on projects involving scholarly data processing, NLP, and digital library tools.