Scholar
Markus Baumann
Google Scholar ID: J9wCMN0AAAAJ
gesis - Leibniz Institute for the Social Sciences
Text as Data
Parliaments
Party Competition
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
856
H-index
13
i10-index
15
Publications
20
Co-authors
11
Publications
4 items
Architecture Shape Governs QNN Trainability: Jacobian Null Space Growth and Parameter Efficiency
2026
Cited
0
Long Range Frequency Tuning for QML
2026
Cited
0
Topology-Guided Quantum GANs for Constrained Graph Generation
2025
Cited
0
From Classical Data to Quantum Advantage -- Quantum Policy Evaluation on Quantum Hardware
2025
Cited
0