Benchmarking the immersed boundary method for viscoelastic flows is a research paper published in Journal of Computational Physics (2024). On theSindex it has a DataRank of 0.373. It has been cited 11 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.373
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 βNational Institutes of Health
Grant: R01HL157631
National Institutes of Health
Grant: CISE-1931516
National Institutes of Health
Grant: U01HL143336
Alfred P. Sloan Foundation
Grant: G-2021-14197
Division of Mathematical Sciences
Grant: 1664645
Division of Mathematical Sciences
Grant: 1410873
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Division of Mathematical Sciences
Grant: OAC 1450327
Division of Mathematical Sciences
Grant: OAC 1931516
National Institutes of Health
Grant: 1U01HL143336-01
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National Science Foundation
Grant: 1450327
SI2-SSI: Collaborative Research: Scalable Infrastructure for Enabling Multiscale and Multiphysics Applications in Fluid Dynamics, Solid Mechanics, and Fluid-Structure Interaction
National Science Foundation
Grant: 1931516
Collaborative Research: Frameworks: Multiphase Fluid-Structure Interaction Software Infrastructure to Enable Applications in Medicine, Biology, and Engineering
National Institutes of Health
Grant: 1R01HL157631-01A1
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic Valves
NDSEG
National Institutes of Health
Alfred P Sloan Foundation
NSF DMS
FWCI
2.73
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords