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Parimarjan Negi

Author ID: 21604
ORCID: -
Links: (found by gpt-5.6-luna on jul 24 2026)
Most Frequent Institution: Massachusetts Institute of Technology
Pagerank: 0.074256028
Overall Rank: 967 | 95.41%
Paper Count: 7

Affiliation Timeline

Massachusetts Institute of Technology Most frequent 2019 - 2024 | 7 papers

Incoming Non-self Citations Over Time

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

Publications by Paper Pagerank

Showing 7 of 7 publications.

Rank	Title	Year	Venue	Pagerank
154	Neo: A Learned Query Optimizer	2019	VLDB	0.00028726181
378	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00019638121
1,876	Flow-Loss: Learning Cardinality Estimates That Matter	2021	VLDB	9.5717543e-05
2,991	FactorJoin: A New Cardinality Estimation Framework for Join Queries	2023	SIGMOD	7.8880723e-05
3,338	Robust Query Driven Cardinality Estimation under Changing Workloads	2023	VLDB	7.5068221e-05
5,059	Steering Query Optimizers: A Practical Take on Big Data Workloads	2021	SIGMOD	6.3807509e-05
5,107	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	6.3623786e-05

Frequent Co-authors

Co-authored at least 5 papers.

Co-author	Shared Papers	Rank	Pagerank
Tim Kraska	7	16	0.91691574
Ryan Marcus	6	187	0.27938401
Mohammad Alizadeh	6	567	0.11273268