Amazon

Overall Rank: 77 | 97.37%
Pagerank: 0.72723852
Paper Count: 96

Authors at This Institution

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

Showing 50 of 206 authors.

Rank	Author	Pagerank	Papers
13,710	Kevin McGehee	0.0073306972	1
13,711	Nan Yan	0.0073306972	1
13,712	Shawn Wang	0.0073306972	1
13,713	Stefan C. Müller	0.0073306972	1
13,714	Allen Samuels	0.0073306972	1
14,534	Shashank Giridhara	0.007232182	1
14,760	Changlong Yu	0.007216793	1
14,761	Xin Liu	0.007216793	1
14,762	Jefferson Maia	0.007216793	1
14,763	Yang Li	0.007216793	1
14,764	Tianyu Cao	0.007216793	1
14,765	Yifan Gao	0.007216793	1
14,766	Rahul Goutam	0.007216793	1
14,767	Haiyang Zhang	0.007216793	1
14,768	Bing Yin	0.007216793	1
14,769	Zheng Li	0.007216793	1
15,652	Mohit Saxena	0.0071313048	1
15,653	Daiyan Alamgir	0.0071313048	1
15,654	Nitin Bahadur	0.0071313048	1
15,655	Bijay Bisht	0.0071313048	1
15,656	Chitti Keswani	0.0071313048	1
15,657	G2 Krishnamoorthy	0.0071313048	1
15,658	Austin Lee	0.0071313048	1
15,659	Zach Mitchell	0.0071313048	1
15,660	Vaibhav Porwal	0.0071313048	1
15,661	Maheedhar Reddy Chappidi	0.0071313048	1
15,662	Brian Ross	0.0071313048	1
15,663	Noritaka Sekiyama	0.0071313048	1
15,664	Omer Zaki	0.0071313048	1
15,665	Linch Zhang	0.0071313048	1
15,804	Vishal Vyas	0.0071192499	1
15,805	Hari Ohm Prasath Rajagopal	0.0071192499	1
15,806	Mukesh Punhani	0.0071192499	1
15,807	Marco Manzo	0.0071192499	1
15,808	Ankur Goyal	0.0071192499	1
15,809	Rick Sears	0.0071192499	1
15,810	Joseph Marques	0.0071192499	1
15,811	Sushant Majithia	0.0071192499	1
17,020	Fuat Basik	0.007043106	1
17,772	Xinwei Fu	0.007043106	1
18,714	Markus Bestehorn	0.007043106	1
18,719	Anil Sener	0.007043106	1
18,789	Binxuan Huang	0.007043106	1
18,942	Caner Türkmen	0.007043106	1
18,943	Jasper Zschiegner	0.007043106	1
18,944	Michael Bohlke-Schneider	0.007043106	1
18,945	Danielle Maddix	0.007043106	1
18,946	Konstantinos Benidis	0.007043106	1
19,719	Sharan Sokhi	0.007043106	1
19,834	George Erickson	0.007043106	1

Papers with at Least One Affiliated Author

Showing 46 of 96 papers, sorted by pagerank.

Rank	Paper	Year	Venue	Pagerank
7,316	Collective Influence Maximization for Multiple Competing Products with an Awareness-to-Influence Model	2021	VLDB	5.5415122e-05
7,322	Mind the Data Gap: Bridging LLMs to Enterprise Data Integration	2025	CIDR	5.5392633e-05
7,363	Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD	2024	VLDB	5.5279826e-05
7,438	Data Integration and Machine Learning: A Natural Synergy	2018	VLDB	5.5123601e-05
7,487	Membrane - Safe and Performant Data Access Controls in Apache Spark in the Presence of Imperative Code	2024	VLDB	5.4995746e-05
7,533	Entity Matching Meets Data Science: A Progress Report from the Magellan Project	2019	SIGMOD	5.4854609e-05
7,550	Foreign Keys Open the Door for Faster Incremental View Maintenance	2023	SIGMOD	5.4809422e-05
7,827	Parachute: Single-Pass Bi-Directional Information Passing	2025	VLDB	5.4297836e-05
8,052	Internet Scale Storage	2011	SIGMOD	5.3835615e-05
8,100	Amazon MemoryDB: A Fast and Durable Memory-First Cloud Database	2024	SIGMOD	5.3739121e-05
8,250	Operational Analytics Data Management Systems	2016	VLDB	5.3539237e-05
8,269	Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation	2022	VLDB	5.3491154e-05
8,599	OmniMatch: Joinability Discovery in Data Products	2025	VLDB	5.2921451e-05
8,649	D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks	2024	VLDB	5.2809021e-05
8,662	PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking	2025	VLDB	5.2781431e-05
8,678	Optimization of Common Table Expressions in MPP Database Systems	2015	VLDB	5.2744774e-05
8,989	Conformal Prediction for Verifiable Learned Query Optimization	2025	VLDB	5.2304457e-05
9,011	Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries	2025	VLDB	5.2238303e-05
9,137	COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon	2024	SIGMOD	5.2082101e-05
9,143	Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes	2023	VLDB	5.2074327e-05
9,165	The Five-Minute Rule for the Cloud: Caching in Analytics Systems	2025	CIDR	5.2033937e-05
9,250	BenchPress: A Human-in-the-Loop Annotation System for Rapid Text-to-SQL Benchmark Curation	2026	CIDR	5.1860131e-05
9,901	Winds from Seattle: Database Research Directions	2020	VLDB	5.0989931e-05
9,942	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2023	VLDB	5.0923288e-05
9,984	The Story of AWS Glue	2023	VLDB	5.0855508e-05
10,092	Managed Resource Scaling in Amazon EMR	2025	SIGMOD	5.068372e-05
10,725	InferF: Declarative Factorization of AI/ML Inferences over Joins	2026	SIGMOD	4.9605343e-05
10,914	I-Rex: An Interactive Debugger for SQL	2026	VLDB	4.9605343e-05
10,979	Incremental Query Optimizer Statistics in Amazon Redshift	2026	VLDB	4.9605343e-05
10,984	FastCompose: Eliminating Compilation Cold Starts in Query Execution with Composition	2026	VLDB	4.9605343e-05
11,238	Virtualizing Cloud Data Infrastructures with BRAD	2025	SIGMOD	4.9605343e-05
11,651	Searching Data Lakes for Nested and Joined Data	2024	VLDB	4.9605343e-05
11,660	A Flexible Forecasting Stack	2024	VLDB	4.9605343e-05
11,817	Self-Training for Label-Efficient Information Extraction from Semi-Structured Web-Pages	2023	VLDB	4.9605343e-05
11,926	PGE: Robust Product Graph Embedding Learning for Error Detection	2022	VLDB	4.9605343e-05
11,946	Beaconnect: Continuous Web Performance A/B Testing at Scale	2022	VLDB	4.9605343e-05
12,016	GRIP: Constraint-based Explanation of Missing Answers for Graph Queries	2021	SIGMOD	4.9605343e-05
12,143	SLIM: Scalable Linkage of Mobility Data	2020	SIGMOD	4.9605343e-05
13,659	From Big Time Series Forecasting to Foundation Models for Structured Data	2026	VLDB	-
13,733	QuoteInspector: Gaining Insight about Social Media Discussions	2024	VLDB	-
13,789	Cloud Data Systems: What are the Opportunities for the Database Research Community?	2022	VLDB	-
13,860	DEEM 2019: Workshop on Data Management for End-to-End Machine Learning	2019	SIGMOD	-
13,907	Machine Learning in the Real World	2016	VLDB	-
13,910	Leave No Valuable Data Behind: The Crazy Ideas and the Business	2016	VLDB	-
14,426	Entrepreneurship for Information Systems Researchers (Invited Tutorial)	2000	PODS	-
14,489	E-Commerce Database Issues and Experience	1999	SIGMOD	-