University of Amsterdam

Overall Rank: 164 | 94.35%
Pagerank: 0.23854888
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
288	Sebastian Schelter	0.20065019	27
1,094	Stefan Grafberger	0.067527232	9
1,250	Paul Groth	0.06037337	8
1,339	Madelon Hulsebos	0.05667754	7
3,214	Thomas Kipf	0.0275834	2
3,874	Shubha Guha	0.022524214	3
4,019	Maarten Marx	0.02203323	3
5,781	Loredana Afanasiev	0.015303491	2
7,037	Olivier Sprangers	0.014223836	2
10,777	Evgeny Sherkhonov	0.0079911499	1
11,167	Radu Geacu	0.0078436761	1
17,805	Leen Torenvliet	0.0070564499	1
17,806	P. van Emde Boas	0.0070564499	1
18,636	Dominique Danco	0.0070564499	1
18,918	Maarten de Rijke	0.0070564499	1
20,061	David Jackson	0.0070564499	1

Papers with at Least One Affiliated Author

Showing 31 of 31 papers, sorted by pagerank.

Rank	Paper	Year	Venue	Pagerank
85	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00035864347
2,521	GitTables: A Large-Scale Corpus of Relational Tables	2023	SIGMOD	8.3479333e-05
3,271	Estimating Cardinalities with Deep Sketches	2019	SIGMOD	7.4744941e-05
3,795	The Expressivity of XPath with Transitive Closure*	2006	PODS	7.0167646e-05
4,037	HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning	2021	SIGMOD	6.8390354e-05
4,549	Harnessing the Deep Web: Present and Future	2009	CIDR	6.5410269e-05
4,596	The Complexity of Query Containment in Expressive Fragments of XPath 2.0	2007	PODS	6.5098871e-05
4,606	MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines	2021	SIGMOD	6.5041225e-05
4,840	High-Level Why-Not Explanations using Ontologies	2015	PODS	6.3858476e-05
5,332	Observatory: Characterizing Embeddings of Relational Tables	2024	VLDB	6.1766186e-05
5,385	SchemaPile: A Large Collection of Relational Database Schemas	2024	SIGMOD	6.1523255e-05
6,323	Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines	2021	CIDR	5.8138422e-05
6,571	XPath, Transitive Closure Logic, and Nested Tree Walking Automata	2008	PODS	5.7457654e-05
6,744	Queries Determined by Views: Pack Your Views	2007	PODS	5.6908598e-05
7,538	Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines	2023	SIGMOD	5.4995874e-05
7,629	mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over?	2023	VLDB	5.4803665e-05
8,310	DORIAN in action: Assisted Design of Data Science Pipelines	2022	VLDB	5.3581954e-05
8,717	Conditional XPath, the first order complete XPath dialect*	2004	PODS	5.2905577e-05
9,207	XCheck: A Platform for Benchmarking XQuery Engines	2006	VLDB	5.2068192e-05
9,244	Making Table Understanding Work in Practice	2022	CIDR	5.2056825e-05
9,711	Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale	2022	SIGMOD	5.1371426e-05
11,051	Fault Lines: Benchmarking the Impact of Label Data Quality on ML Robustness and Fairness	2026	VLDB	4.9793485e-05
11,407	mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines”	2025	VLDB	4.9793485e-05
11,621	Snapcase – Regain Control over Your Predictions with Low-Latency Machine Unlearning	2024	VLDB	4.9793485e-05
11,671	Reconstructing and Querying ML Pipeline Intermediates	2023	CIDR	4.9793485e-05
11,679	Extremal Fitting Problems for Conjunctive Queries	2023	PODS	4.9793485e-05
11,818	Screening Native ML Pipelines with “ArgusEyes”	2022	CIDR	4.9793485e-05
11,822	Augmenting Decision Making via Interactive What-If Analysis	2022	CIDR	4.9793485e-05
11,897	Blueprint: A Constraint-solving Approach For Document Extraction	2022	VLDB	4.9793485e-05
13,544	The Reconstruction and Optimization of Trie Hashing Functions	1983	VLDB	4.9793485e-05
13,734	AcX: System, Techniques, and Experiments for Acronym Expansion	2022	VLDB	-