University of Amsterdam

Overall Rank: 163 | 93.97%
Pagerank: 0.24179625
Paper Count: 31

Authors at This Institution

Listed authors are those whose most frequent affiliation is this institution.

Showing 16 of 16 authors.

Rank	Author	Pagerank	Papers
308	Sebastian Schelter	0.18866176	25
1,062	Stefan Grafberger	0.068293474	9
1,209	Paul Groth	0.060666536	8
1,286	Madelon Hulsebos	0.056854012	7
3,079	Thomas Kipf	0.027717432	2
3,710	Shubha Guha	0.022863554	3
3,831	Maarten Marx	0.022455337	3
5,449	Loredana Afanasiev	0.015588586	2
6,730	Olivier Sprangers	0.014494159	2
10,347	Evgeny Sherkhonov	0.0081435975	1
11,418	Radu Geacu	0.0078017312	1
17,295	Leen Torenvliet	0.0071920211	1
17,296	P. van Emde Boas	0.0071920211	1
18,169	Dominique Danco	0.0071920211	1
18,515	Maarten de Rijke	0.0071920211	1
19,383	David Jackson	0.0071920211	1

Papers with at Least One Affiliated Author

Showing 31 of 31 papers, sorted by pagerank.

Rank	Paper	Year	Venue	Pagerank
86	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00035781654
2,887	GitTables: A Large-Scale Corpus of Relational Tables	2023	SIGMOD	8.0622598e-05
3,165	Estimating Cardinalities with Deep Sketches	2019	SIGMOD	7.7464506e-05
3,654	The Expressivity of XPath with Transitive Closure*	2006	PODS	7.2884754e-05
3,957	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	7.0651411e-05
4,412	Harnessing the Deep Web: Present and Future	2009	CIDR	6.7800807e-05
4,432	The Complexity of Query Containment in Expressive Fragments of XPath 2.0	2007	PODS	6.7624278e-05
4,475	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	6.7382669e-05
4,676	High-Level Why-Not Explanations using Ontologies	2015	PODS	6.6318181e-05
5,794	Observatory: Characterizing Embeddings of Relational Tables	2024	VLDB	6.1462677e-05
5,969	SchemaPile: A Large Collection of Relational Database Schemas	2024	SIGMOD	6.0867009e-05
6,169	Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines	2021	CIDR	6.0279551e-05
6,345	XPath, Transitive Closure Logic, and Nested Tree Walking Automata	2008	PODS	5.9686399e-05
6,524	Queries Determined by Views: Pack Your Views	2007	PODS	5.9097811e-05
7,974	mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over?	2023	VLDB	5.5693953e-05
8,022	DORIAN in action: Assisted Design of Data Science Pipelines	2022	VLDB	5.5632975e-05
8,048	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	5.5579294e-05
8,419	Conditional XPath, the first order complete XPath dialect*	2004	PODS	5.495799e-05
8,915	XCheck: A Platform for Benchmarking XQuery Engines	2006	VLDB	5.4088108e-05
8,939	Making Table Understanding Work in Practice	2022	CIDR	5.4076311e-05
9,446	Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale	2022	SIGMOD	5.3321214e-05
10,318	Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness	2026	VLDB	5.1725167e-05
10,821	mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines"	2025	VLDB	5.1725167e-05
11,099	Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning	2024	VLDB	5.1725167e-05
11,150	Reconstructing and Querying ML Pipeline Intermediates	2023	CIDR	5.1725167e-05
11,160	Extremal Fitting Problems for Conjunctive Queries	2023	PODS	5.1725167e-05
11,312	Screening Native ML Pipelines with “ArgusEyes”	2022	CIDR	5.1725167e-05
11,316	Augmenting Decision Making via Interactive What-If Analysis	2022	CIDR	5.1725167e-05
11,393	Blueprint: A Constraint-solving Approach For Document Extraction	2022	VLDB	5.1725167e-05
13,066	The Reconstruction And Optimization Of Trie Hashing Functions	1983	VLDB	5.1725167e-05
13,231	AcX: System, Techniques, and Experiments for Acronym Expansion	2022	VLDB	-