Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents (short paper). - Nina Smirnova 001; Philipp Mayr 001 (EEKE@JCDL, 2022)

Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents. - Nina Smirnova 001; Philipp Mayr 001 (CoRR, 2022)

The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North. - Kristin Biesenbender; Nina Smirnova 001; Philipp Mayr 001; Isabella Peters (CoRR, 2023)

A comprehensive analysis of acknowledgement texts in Web of Science: a case study on four scientific domains. - Nina Smirnova 001; Philipp Mayr 001 (Scientometrics, 2023)

Technical Report: Incorporating Blogs in Pollux. - Tobias Holtdirk; Nina Smirnova 001 (CoRR, 2024)

The rise of Indo-German collaborative research: 1990-2022. - Aasif Ahmad Mir; Nina Smirnova 001; Jeyshankar Ramalingam; Philipp Mayr 001 (CoRR, 2024)

Automatically detecting scientific political science texts from a large general document index. - Nina Smirnova 001 (CoRR, 2024)

Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study. - Xu Tong; Nina Smirnova 001; Sharmila Upadhyaya; Ran Yu; Jack H. Culbert; Chao Sun; Wolfgang Otto 002; Philipp Mayr 001 (CoRR, 2024)

Indo-German Literature Dataset. - Nina Smirnova 001; Jack H. Culbert; Philipp Mayr 001 (Zenodo, 2024)

Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements. - Nina Smirnova 001; Philipp Mayr 001 (Scientometrics, 2024)

Annotating scientific uncertainty: A comprehensive model using linguistic patterns and comparison with existing approaches. - Panggih Kusuma Ningrum; Philipp Mayr 001; Nina Smirnova 001; Iana Atanassova (J. Informetrics, 2025)