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Healthcare management and COVID-19: data-driven bibliometric analytics. (English) Zbl 07702311


MSC:

90Bxx Operations research and management science

Software:

VOSviewer
Full Text: DOI

References:

[1] Bevilacqua, M.; Ciarapica, FE; Marcucci, G., Supply chain resilience research trends: a literature overview, IFAC Papers Online, 52, 13, 2821-2826 (2019) · doi:10.1016/j.ifacol.2019.11.636
[2] De Groot, R.J. (2012). In Virus Taxonomy, Ninth Report of the International Committee on Taxonomy of Viruses (eds King, A. M. Q. et al.) 806-828 (Elsevier Academic Press, 2012).
[3] https://www.flatworldsolutions.com/
[4] Urciuoli, L.; Hintsa, J., Improving supply chain risk management-can additional data help?, Int. J. Logist. Syst. Manag., 30, 195-224 (2018)
[5] Van Eck, NJ; Waltman, L., Software survey: VOSviewer, a computer program for bibliometric mapping, Scientometrics, 84, 523-538 (2010) · doi:10.1007/s11192-009-0146-32019IFACMIM,Berlin,Germany,August28-30,20192892
[6] Van Eck, N.J., Waltman, L., (2018). VOSviewer Manual 51.
[7] https://www.vosviewer.com/getting-started
[8] https://www.scopus.com/
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.