Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations is a research paper published in Science (2020). On theSindex it has a DataRank of 1.1. It has been cited 1,863 times.
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
1.1
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: U01HL142518
U.S. Department of Energy
Grant: DE-AC05-76RL01830
Air Force Office of Scientific Research
Grant: FA9550-17-1-0013
Defense Sciences Office, DARPA
Grant: N66001-15-2-4055
Defense Sciences Office, DARPA
Grant: HR00111990025
National Institutes of Health
Grant: 5U01HL142518-03
Multimodality imaging-driven multifidelity modeling of aortic dissection
FWCI
104.75
Citation Percentile
1.0%
Influential Citations
40
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals