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Computational Reproducibility: State-of-the-Art, Challenges, and Database Research Opportunities

Summary: Tutorial-style survey of computational reproducibility: compendia, archiving, and experiment querying. Identifies database research opportunities and open problems in querying and managing computational experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4560
Venue
SIGMOD
Year
2012
Pagerank
4.369407e-05
Overall Rank
9,225 | 35.83%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,230 You Say 'What', I Hear 'Where' and 'Why' - (Mis-)Interpreting SQL to Derive Fine-Grained Provenance 2018 VLDB 4.5541444e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
12,204 Exploring the Coming Repositories of Reproducible Experiments: Challenges and Opportunities 2011 VLDB 4.1945683e-05
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