Scholar
Linus W. Dietz
Google Scholar ID: C5VDNfoAAAAJ
King's College London
Urban Computing
Recommender Systems
Data Science
Software Engineering
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Citations & Impact
All-time
Citations
240
H-index
8
i10-index
8
Publications
20
Co-authors
29
list available
Contact
Email
mail@linusdietz.com
GitHub
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Publications
6 items
Data Product MCP: Chat with your Enterprise Data
2026
Cited
0
The Digital Life of Parisian Parks: Multifunctionality and Urban Context Uncovered by Mobile Application Traffic
2025
Cited
0
Point of Interest Recommendation: Pitfalls and Viable Solutions
2025
Cited
0
The experience of running: Recommending routes using sensory mapping in urban environments
International Journal of Human-Computer Studies · 2025
Cited
0
Examining Inequality in Park Quality for Promoting Health Across 35 Global Cities
arXiv.org · 2024
Cited
1
Understanding the Influence of Data Characteristics on the Performance of Point-of-Interest Recommendation Algorithms
Information Technology & Tourism · 2023
Cited
0
Resume (English only)
Co-authors
29 total
Wolfgang Wörndl
Technical University of Munich (TUM)
Co-author 2
Co-author 3
Co-author 4
Co-author 5
Pablo Sánchez
Universidad Pontificia Comillas - Instituto de Investigación Tecnológica (IIT)
Co-author 7
Daniele Quercia
University of Cambridge
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