Accelerating SSSP for Power-Law Graphs is a research paper published in PubMed (2022). On theSindex it has a DataRank of 0.483. It has been cited 24 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.
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Base Score Contribution
0.483
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 →NIH (National Institutes of Health)
Grant: U01MH117079
Xilinx
Grant: XACC
NSF (National Science Foundation)
Grant: CCF1937599
Semiconductor Research Corporation
Grant: CRISP
National Science Foundation
Grant: 1937599
RTML: Large: Acceleration to Graph-Based Machine Learning
National Institutes of Health
Grant: 5U01MH117079-05
Dendritome mapping of genetically-defined and sparsely-labeled cortical and striatal projection neurons
FWCI
5.33
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords