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Alexander Rombach

Observed names: Alexander M. Rombach, Alexander Michael Rombach, Rombach, Alexander, Rombach, Alexander Michael
ORCID: 0000-0002-9173-4215
Observed ORCID: 0000-0002-9173-4215
OpenAlex ID: A5075345053
Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review
2025 · Alexander Michael Rombach, Peter Fettke · ACM Computing Surveys · 11
Assessing the business process modeling competences of large language models
2026 · Chantale Lauer, Peter Pfeiffer, et al. · Information Systems · 4
Utilizing Deep Learning for Field-Level Information Extraction from German Real Estate Tax Notices
2024 · Alexander M. Rombach, Johannes Lahann, et al. · Journal of Emerging Technologies in Accounting · 1
Anomaly Detection in General Ledger Data: Results from a Hybrid Approach
2026 · Gronewald, Jan, Rombach, Alexander Michael, et al. · arXiv (Cornell University)
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Generating synthetic journal entries for audit analytics: Method and dataset
2026 · Jan Gronewald, Sebastian Stephan, et al. · Data in Brief
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DIB General Ledger Data
2026 · Gronewald, Jan, Stephan, Sebastian, et al. · Zenodo (CERN European Organization for Nuclear Research)
Improving LLM-Generated Process Model Quality Through Reinforcement Learning: The Role of Reward Function Design
2026 · Rombach, Alexander, Lauer, Chantale, et al. · arXiv (Cornell University)
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Neuro-Symbolic Agents for Regulated Process Automation: Challenges and Research Agenda
2026 · Rombach, Alexander, Lauer, Chantale, et al. · arXiv (Cornell University)
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Beyond Accuracy: Understanding Model Confidence in Key Information Extraction with Conformal Prediction
2026 · Alexander Rombach, Nijat Mehdiyev · International Journal on Document Analysis and Recognition (IJDAR)
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Beyond Accuracy: Understanding Model Confidence in Key Information Extraction with Conformal Prediction
2026 · Rombach, Alexander, Mehdiyev, Nijat · Publications of the UdS (Saarland University)
Generating Synthetic Journal Entries for Audit Analytics: Method and Dataset
2026 · Jan Gronewald, Sebastian Stephan, et al. · SSRN Electronic Journal
Assessing the business process modeling competences of large language models
2026 · Lauer, Chantale, Pfeiffer, Peter, et al. · Publications of the UdS (Saarland University)
From Theory to Practice: Real-World Use Cases on Trustworthy LLM-Driven Process Modeling, Prediction and Automation
2025 · Pfeiffer, Peter, Rombach, Alexander, et al. · arXiv (Cornell University)
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Towards Automated Process Planning and Mining
2022 · Fettke, Peter, Rombach, Alexander · arXiv (Cornell University)
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Works count: 17
Citation count: 16
H-index: 2
I10-index: 1
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