[1] C. J. Augeri, On Graph Isomorphism and the PageRank Algorithm, Ph.D. Thesis, Air Force Institute of Technology, USA, 2008.
[2] P. Berkhin, A survey on PageRank computing, Internet Math. 2 (2005) 73–120.
[3] S. Brin and L. Page, Reprint of: The anatomy of a large-scale hypertextual web search engine, Comput. Netw. 56 (2012) 3825–3833.
[4] S. Brown, A PageRank model for player performance assessment in basketball, soccer and hockey, arXiv:1704.00583.
[5] D. F. Gleich, PageRank beyond the web, SIAM Rev. 57 (2015) 321–363.
[6] V. Grolmusz, A note on the PageRank of undirected graphs, Inform. Process. Lett. 115 (2012) 633–634.
[7] B. Jiang, K. kloster, D. F. Gleich and M. Gribskov, AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs, Bioinformatics 33 (2017) 1829–1836.
[8] V. Kandiah and D. L. Shepelyansky, PageRank model of opinion formation on social networks, Physica A 391 (2012) 5779–5793.
[9] A. N. Langville and C. D. Meyer, Google’s PageRank and Beyond: The Science of Search Engine Rankings, Princeton University Press, Princeton and Oxford, 2005.
[10] V. Lazova and L. Basnarkov, PageRank approach to ranking national football teams, arXiv:1503.01331 (2015).
[11] Ch. Liao, K. Lu, M. Baym, R. Singh and B. Berger, IsoRankn: spectral methods for global alignment of multiple protein networks, Bioinformatics 25 (2009) i253–i258.
[12] B. L. Mooney, L. R. Corrales and A. E. Clark, Molecularnetworks: An integrated graph theoretic and data mining tool to explore solvent organization in molecular simulation, J. Comput. Chem. 33 (2012) 853–860.
[13] J. L. Morrison, R. Breitling, D. J. Higham and D. R. Gilbert, GeneRank: Using search engine technology for the analysis of microarray experiments, BMC Bioinform. DOI: 10.1186/1471-2105-6-233.
[14] N. Mukai, PageRank-based traffic simulation using taxi probe data, Procedia Comput. Sci. 22 (2013) 1156–1163.
[15] F. Pedroche, E. García, M. Romance and R. Criado, Sharp estimates for the personalized multiplex PageRank, J. Comput. Appl. Math. 330 (2018) 1030–1040.
[16] Z. L. Shen, T. Z. Huang, B. Carpentieri, X. Gu and C. Wen, An efficient elimination strategy for solving PageRank problem, Appl. Math. Comput. 298 (2017) 111–122.
[17] C. Wen, T. Z. Huang and Z. L. Shen, A note on the two-step matrix splitting iteration for computing PageRank, J. Comput. Appl. Math. 315 (2017) 87–97.
[18] Ch. Winter, G. Kristiansen, S. Kersting, J. Roy, D. Aust, T. Knöse, P. Rümmele, B. Jahnke, V. Hentrich, F. Rückert, M. Niedergethmann, W. Weichert and M. Bahra, Google goes cancer: Improving outcome prediction for cancer patients by network-based ranking of marker genes, PLOS Comput. Biol. 2 (2012) e1002511.
)