Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates is a research paper published in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020). On theSindex it has a DataRank of 0.923. It has been cited 41 times, with 15 citing works in its 1-hop citation network.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.561
From this paper's citation signal
Citation Network Contribution
0.362
From 11 citing papers with measurable signal
FWCI
8.84
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords