University of Amsterdam

Overall Rank: 166 | 93.81%
Pagerank: 0.22401689
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
330	Sebastian Schelter	0.16914249	24
1,082	Stefan Grafberger	0.06274244	9
1,245	Paul Groth	0.055192262	8
1,305	Madelon Hulsebos	0.053288347	7
2,996	Thomas Kipf	0.026907148	2
3,827	Shubha Guha	0.020966943	3
3,894	Maarten Marx	0.020672647	3
5,614	Loredana Afanasiev	0.014601595	2
7,029	Olivier Sprangers	0.013060545	2
11,002	Evgeny Sherkhonov	0.0074281979	1
11,487	Radu Geacu	0.0072585085	1
17,409	Leen Torenvliet	0.0064765487	1
17,410	P. van Emde Boas	0.0064765487	1
18,285	Dominique Danco	0.0064765487	1
18,627	Maarten de Rijke	0.0064765487	1
19,489	David Jackson	0.0064765487	1

Papers with at Least One Affiliated Author

Showing 31 of 31 papers, sorted by pagerank.

Rank	Paper	Year	Venue	Pagerank
204	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00034784455
3,520	GitTables: A Large-Scale Corpus of Relational Tables	2023	SIGMOD	7.0131061e-05
3,725	Estimating Cardinalities with Deep Sketches	2019	SIGMOD	6.8170734e-05
3,806	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.7492837e-05
3,851	The Expressivity of XPath with Transitive Closure*	2006	PODS	6.7057867e-05
4,229	Harnessing the Deep Web: Present and Future	2009	CIDR	6.3399547e-05
4,366	The Complexity of Query Containment in Expressive Fragments of XPath 2.0	2007	PODS	6.2538592e-05
4,734	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	5.9615384e-05
5,418	High-Level Why-Not Explanations using Ontologies	2015	PODS	5.5178123e-05
5,809	Queries Determined by Views: Pack Your Views	2007	PODS	5.3185501e-05
5,928	SchemaPile: A Large Collection of Relational Database Schemas	2024	SIGMOD	5.2685946e-05
6,092	Observatory: Characterizing Embeddings of Relational Tables	2024	VLDB	5.2138566e-05
6,150	XPath, Transitive Closure Logic, and Nested Tree Walking Automata	2008	PODS	5.1846373e-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
8,177	DORIAN in action: Assisted Design of Data Science Pipelines	2022	VLDB	4.5673266e-05
8,257	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	4.5487511e-05
8,314	Conditional XPath, the first order complete XPath dialect*	2004	PODS	4.5435639e-05
8,913	Making Table Understanding Work in Practice	2022	CIDR	4.427232e-05
9,022	XCheck: A Platform for Benchmarking XQuery Engines	2006	VLDB	4.4079133e-05
9,466	Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale	2022	SIGMOD	4.3349007e-05
10,306	Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness	2026	VLDB	4.1945683e-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
11,147	Reconstructing and Querying ML Pipeline Intermediates	2023	CIDR	4.1945683e-05
11,157	Extremal Fitting Problems for Conjunctive Queries	2023	PODS	4.1945683e-05
11,310	Screening Native ML Pipelines with “ArgusEyes”	2022	CIDR	4.1945683e-05
11,314	Augmenting Decision Making via Interactive What-If Analysis	2022	CIDR	4.1945683e-05
11,391	Blueprint: A Constraint-solving Approach For Document Extraction	2022	VLDB	4.1945683e-05
13,055	The Reconstruction And Optimization Of Trie Hashing Functions	1983	VLDB	4.1945683e-05
13,217	AcX: System, Techniques, and Experiments for Acronym Expansion	2022	VLDB	-