A Perturbative Stochastic Galerkin Method for the Uncertainty Quantification of Linear Circuits is a research paper published in IEEE Transactions on Circuits and Systems I: Regular Papers (2020). On theSindex it has a DataRank of 0.786. It has been cited 18 times, with 17 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
0.442
From this paper's citation signal
Citation Network Contribution
0.345
From 9 citing papers with measurable signal
FWCI
1.19
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords