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Stefan Grafberger

Author ID: 1844
ORCID: 0000-0002-9884-9517
Links: (found by gpt-5.2 on feb 8th, 2026)
Most Frequent Institution: University of Amsterdam
Pagerank: 0.06274244
Overall Rank: 1,082 | 94.90%
Paper Count: 9

Affiliation Timeline

University of Amsterdam Most frequent 2021 - 2023 | 5 papers
Berlin Institute for the Foundations of Learning and Data 2024 - 2025 | 3 papers
Technical University of Berlin 2024 - 2025 | 3 papers
Technical University of Munich 2021 | 1 papers

Incoming Non-self Citations Over Time

Total yearly non-self incoming citations across all papers by this author.

Publications by Paper Pagerank

Showing 9 of 9 publications.

Rank	Title	Year	Venue	Pagerank
3,806	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.7492837e-05
4,734	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	5.9615384e-05
6,291	Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines	2021	CIDR	5.1269764e-05
8,114	mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over?	2023	VLDB	4.5823351e-05
8,257	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	4.5487511e-05
8,582	Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All?	2025	CIDR	4.492033e-05
10,816	mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines"	2025	VLDB	4.1945683e-05
11,096	Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning	2024	VLDB	4.1945683e-05
11,310	Screening Native ML Pipelines with “ArgusEyes”	2022	CIDR	4.1945683e-05

Frequent Co-authors

Co-authored at least 5 papers.

Co-author	Shared Papers	Rank	Pagerank
Sebastian Schelter	8	330	0.16914249