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Fabian Gerz
ResearcherPublications, citations & collaboration network
Fabian Gerz is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 6 works, 9 citations, an h-index of 1 and an i10-index of 0.
6
Works
9
Citations
1
h-index
0
i10-index
IDs:OpenAlex
How has Fabian Gerz's publication output changed over time?
ScholarIQpublication output · 2022–2026
Output grew200% over the shown period — from 1 works in 2022 to 3 in 2026.
1
1
1
3
2022202420252026
What are the most-cited papers on Fabian Gerz?
ScholarIQmost cited works
A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms
Fabian Gerz, Tolga Renan Basturk, Julian Kirchhoff, Joachim Denker, Loui Al-Shrouf, Mohieddine Jelali
2022 International Joint Conference on Neural Networks (IJCNN). 20229 CitationsOPEN ACCESS
Innovative machine learning based approach for reliable and accurate measurement of guide roll alignment in continuous casting plants
Robert Rosenthal, Fabian Gerz, Loui Al-Shrouf, Mohieddine Jelali
e-Journal of Nondestructive Testing. 20240 CitationsOPEN ACCESS
Impact of target domain integration on unsupervised anomaly detection in hydroponic agriculture
Matthis Lessing, Maximilian Stryczek, Jan Philipp Weiß, Fabian Gerz, Mohieddine Jelali
Research Square. 20250 CitationsOPEN ACCESS
Integration of Vision Transformer Networks in YOLOv8 for Object Detection: Comparative Study on Plant Disease Detection
Fabian Gerz, Marc G. Schneider, Mohieddine Jelali
IEEE Access. 20260 CitationsOPEN ACCESS
Deep learning-based detection of strawberry fruit and ripeness in smart farming -- First review of architectures, real-world studies, and challenges
Mohieddine Jelali, Fabian Gerz, Orhan-Timo Altan, Loui Al-Shrouf
Research Square. 20260 CitationsOPEN ACCESS
Related on ScholarIQ
TH Köln - University of Applied Sciences
Institution
A Comparative Study and a New Industrial Platform for Decentralized Anomaly Detection Using Machine Learning Algorithms
Paper
Innovative machine learning based approach for reliable and accurate measurement of guide roll alignment in continuous casting plants
Paper
Impact of target domain integration on unsupervised anomaly detection in hydroponic agriculture
Paper
Integration of Vision Transformer Networks in YOLOv8 for Object Detection: Comparative Study on Plant Disease Detection
Paper
Deep learning-based detection of strawberry fruit and ripeness in smart farming -- First review of architectures, real-world studies, and challenges
Paper