Computational uncertainty quantification for a clarifier-thickener model with several random perturbations: A hybrid stochastic Galerkin approach is a research paper published in Computers & Chemical Engineering (2016). On theSindex it has a DataRank of 0.797. It has been cited 16 times, with 9 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
0.425
From this paper's citation signal
Citation Network Contribution
0.372
From 7 citing papers with measurable signal
German Research Foundation
Grant: BASAL
Centro CRHIAM Proyecto Conicyt Fondap
Grant: 15130015