A Survey of Eigenvector Methods for Web Information Retrieval

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Deeper Inside PageRank (2004, background): “The connections between the two models are striking (see [78]) and it’s hard to say whether HITS inﬂuenced PageRank, or vice versa, or whether both developed independently.”
Spoken Content Retrieval—Beyond Cascading Speech Recognition with Text Retrieval (2015, methodology): “This approach is similar to the very successful PageRank [187], [188] used to rank web pages and compute an importance score for each page.”
Graph theory and networks in Biology. (2006, methodology): “is will be the case. (ii) Similar ideas to those used in the deﬁnition of eigenvector centrality have recently been applied to develop the Page-Rank algorithm on which the GOOGLE search engine relies [32, 111]. The HITS algorithm for the ranking of web pages, proposed by Kleinberg [105], also relies”
A Principal Component Analysis of 39 Scientific Impact Measures (2009, unknown): “(5) • Undirected Unweighted LCC Closeness: Eq.”