Spectral gap in random bipartite biregular graphs and applications is a research paper published in Combinatorics Probability Computing (2021). On theSindex it has a DataRank of 0.470. It has been cited 22 times.
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Base Score Contribution
0.470
From this paper's citation signal
Citation Network Contribution
0
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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 Science Foundation
Grant: 1712630
Spectra of Large Random Graphs And Applications In Community Detection
National Science Foundation
Grant: 1514743
Collaborative Research: The Ever-Changing Network: How Changes in Architecture Shape Neural Computations
National Science Foundation
Grant: 0847661
CAREER: Synergistic interactions between Numerical Linear Algebra and Stochastic Eigenanalysis (Random Matrix Theory)
National Science Foundation
Grant: 1552267
CAREER: Distances in Random Media
FWCI
2.79
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Spectral gap in random bipartite biregular graphs and applications