Scholar
Patrick Zschech
Google Scholar ID: 8fB2RqoAAAAJ
Professor of Business Information Systems, esp. Intelligent Systems & Services, TU Dresden
Business Analytics
Decision Support Systems
Deep Learning
Interpretable Machine Learning
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Citations & Impact
All-time
Citations
6,468
H-index
22
i10-index
39
Publications
20
Co-authors
54
list available
Publications
8 items
Can Conversational XAI Improve User Performance? An Experimental Study
2026
Cited
0
Overcoming Algorithm Aversion with Transparency: Can Transparent Predictions Change User Behavior?
2025
Cited
0
Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions
2025
Cited
0
Analyzing German Parliamentary Speeches: A Machine Learning Approach for Topic and Sentiment Classification
2025
Cited
0
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
2025
Cited
0
Beware of"Explanations"of AI
2025
Cited
0
CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations
Expert systems with applications · 2025
Cited
0
The Impact of Transparency in AI Systems on Users' Data-Sharing Intentions: A Scenario-Based Experiment
2025
Cited
0
Co-authors
9 total
Christian Janiesch
TU Dortmund University
Mathias Kraus
Professor for Explainable AI, University of Regensburg
Stefan Feuerriegel
Professor, LMU Munich
Sven Weinzierl
Researcher, Friedrich-Alexander-Universität Erlangen-Nürnberg
Jochen Hartmann
Professor of Digital Marketing, TUM School of Management, Technical University of Munich
Sandra Zilker
Technische Hochschule Nürnberg Georg Simon Ohm
Julian Rosenberger
PhD Researcher, University of Regensburg
Niklas Kühl
University of Bayreuth