A Real-Time Semantic Anomaly Labeler Capturing Local Data Stream Features to Distinguish Anomaly Types in Production. - Philip Stahmann; Maximilian Nebel; Bodo Rieger (LOD (1), 2022)

Unified Theory of Acceptance and Use of Technology (UTAUT) for Intelligent Process Automation. - Alexander Mayr; Philip Stahmann; Maximilian Nebel; Christian Janiesch (ICIS, 2023)

Development and Future Research Directions of AI-Based Anomaly Detection in Smart Manufacturing: A Bibliometric Analysis. - Maximilian Nebel; Philip Stahmann; Christian Janiesch (Wirtschaftsinformatik, 2024)

Still doing it yourself? Investigating determinants for the adoption of intelligent process automation. - Alexander Mayr; Philip Stahmann; Maximilian Nebel; Christian Janiesch (Electron. Mark., 2024)

AI-based real-time anomaly detection in industrial engineering: A structured literature review, taxonomy, and research agenda. - Philip Stahmann; Maximilian Nebel; Christian Janiesch (Comput. Ind. Eng., 2025)