On the public citation graph
The cohesive strength of graphs
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/s0021-9800(68)80081-xopenalex-snapshot
An inequality for the chromatic number of a graph
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/jgt.20032openalex-snapshot
Improved bounds for the chromatic number of a graph
inferred← citeshttps://doi.org/10.1002/net.3230020104openalex-snapshot
Bounded color functions on graphs
inferred← citeshttps://doi.org/10.1006/geno.2000.6187openalex-snapshot
An Algorithm for Clustering cDNA Fingerprints
inferred← citeshttps://doi.org/10.1007/978-3-030-01174-1_33openalex-snapshot
A New Clustering Algorithm Based on Graph Connectivity
inferred← citeshttps://doi.org/10.1007/978-3-319-74180-2_5openalex-snapshot
Probabilistic Properties of Highly Connected Random Geometric Graphs
inferred← citeshttps://doi.org/10.1007/bfb0070394openalex-snapshot
Subgraph connectivity numbers of a graph
inferred← citeshttps://doi.org/10.1007/s00373-019-02052-zopenalex-snapshot
On the Sizes of Vertex-k-Maximal r-Uniform Hypergraphs
inferred← citeshttps://doi.org/10.1007/s00373-022-02468-0openalex-snapshot
The Extremal Sizes of Arc-Maximal (k, l)-Digraphs
inferred← citeshttps://doi.org/10.1007/s00373-025-02961-2openalex-snapshot
On the Sizes of Bi-k-Edge-Maximal r-Uniform Hypergraphs
inferred← citeshttps://doi.org/10.1007/s10878-020-00522-2openalex-snapshot
On the sizes of bi-k-maximal graphs
inferred← citeshttps://doi.org/10.1016/j.dam.2019.04.007openalex-snapshot
Probabilistic properties of highly connected random geometric graphs
inferred← citeshttps://doi.org/10.1016/j.dam.2020.06.003openalex-snapshot
On the extremal sizes of maximal graphs without ( k + 1 ) -connected subgraphs
inferred← citeshttps://doi.org/10.1016/j.disc.2016.04.007openalex-snapshot
On the lower bound of k -maximal digraphs
inferred← citeshttps://doi.org/10.1016/j.ejor.2014.05.041openalex-snapshot
Finding maximum subgraphs with relatively large vertex connectivity
inferred← citeshttps://doi.org/10.1016/j.jvlc.2005.10.003openalex-snapshot
Clustering graphs for visualization via node similarities
inferred← citeshttps://doi.org/10.1016/j.laa.2025.10.023openalex-snapshot
Spectral conditions for the maximum subgraph edge-connectivity of graphs
inferred← citeshttps://doi.org/10.1016/s0020-0190(00)00142-3openalex-snapshot
A clustering algorithm based on graph connectivity
inferred← citeshttps://doi.org/10.1080/23799927.2017.1410498openalex-snapshot
Minimax properties of some density measures in graphs and digraphs
inferred← citeshttps://doi.org/10.1109/ideas.2003.1214919openalex-snapshot
Identification of clusters in the Web graph based on link topology
inferred← citeshttps://doi.org/10.1137/0122040openalex-snapshot
k -Components, Clusters and Slicings in Graphs
inferred← citeshttps://doi.org/10.1145/2649387.2649416openalex-snapshot
Large highly connected clusters in protein-protein interaction networks
inferred← citeshttps://doi.org/10.1145/299432.299483openalex-snapshot
An algorithm for clustering cDNAs for gene expression analysis
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