Deep learning· 2004
MapReduce: Simplified Data Processing on Large Clusters
On the reading lists
- #474 in the Top 500 (2026 edition)
- #55 in Deep learning (2026 edition)
Why it matters
Made fault-tolerant, large-scale distributed data processing accessible; foundational infrastructure for industrial ML.
Condensed from the expert lists' notes.
The record
- First released
- 2004 (from OpenAlex)
- Citations
- citations unknown
- Named by
- both expert lists
- Score
- 0.352 · computed rank 474 · consensus 0.84, must-read 1, citations percentile 0, awards 0, existing lists 0. Method
Editor's notes
- Readability check: fail: A systems paper for data engineering, not AI. (AI draft (Claude), not yet reviewed, 2026-10-29)
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.