Mapping the (R-)Evolution of Technological Fields - A Semantic Network Approach. - Roman Jurowetzki; Daniel S. Hain (SocInfo, 2014)

Text-based Technological Signatures and Similarities: How to create them and what to do with them. - Daniel S. Hain; Roman Jurowetzki; Tobias Buchmann; Patrick Wolf (CoRR, 2020)

Introduction to Rare-Event Predictive Modeling for Inferential Statisticians - A Hands-On Application in the Prediction of Breakthrough Patents. - Daniel S. Hain; Roman Jurowetzki (CoRR, 2020)

The Privatization of AI Research(-ers): Causes and Potential Consequences - From university-industry interaction to public research brain-drain? - Roman Jurowetzki; Daniel S. Hain; Juan Mateos-Garcia; Konstantinos Stathoulopoulos (CoRR, 2021)

Hybrid Model for Patent Classification using Augmented SBERT and KNN. - Hamid Bekamiri; Daniel S. Hain; Roman Jurowetzki (CoRR, 2021)

Mapping Complex Technologies via Science-Technology Linkages; The Case of Neuroscience - A transformer based keyword extraction approach. - Daniel S. Hain; Roman Jurowetzki; Mariagrazia Squicciarini (CoRR, 2022)

A Survey on Sentence Embedding Models Performance for Patent Analysis. - Hamid Bekamiri; Daniel S. Hain; Roman Jurowetzki (CoRR, 2022)

Machine learning and artificial intelligence for science, technology, innovation mapping and forecasting: Review, synthesis, and applications. - Daniel S. Hain; Roman Jurowetzki; Sungjoo Lee; Yuan Zhou (Scientometrics, 2023)

The private sector is hoarding AI researchers: what implications for science? - Roman Jurowetzki; Daniel S. Hain; Kevin Wirtz; Stefano Bianchini (AI Soc., 2025)

The hopes and fears of artificial intelligence: a comparative computational discourse analysis. - Kasper Trolle Elmholdt; Jeppe Agger Nielsen; Christoffer Koch Florczak; Roman Jurowetzki; Daniel S. Hain (AI Soc., 2025)