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Fig 1.

Overall summary of the steps and methods used to conduct this study.

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Fig 1 Expand

Fig 2.

Clusters of teleworking research developed using direct citation network analysis and clustering methods.

A total of 24 clusters were created and the figure shows the top 6 clusters.

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Fig 3.

Trends of the top 10 clusters between 2010 and 2022.

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Table 1.

The top 10 clusters are named using the dominant theme with the most important quantitative data (number of articles, average publication year, top 3 journals, most cited articles, and top 3 authors.

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Fig 4.

Average publication year of the top 10 clusters.

Six clusters (highlighted) are emerging clusters that had an average publication year within the last four years (i.e., after 2018).

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Fig 5.

Number of articles (retrieved and connected) and number of patent applications between 2010 and 2022.

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Fig 6.

Citation relativity illustration of the top 10 clusters.

The dashed lines represent the average values of ratios. (I) Topic specific; (II) domain specific; (III) specific & global; (IV) global.

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Table 2.

Average number of citations for the top 10 clusters.

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Table 2 Expand

Fig 7.

Citation relatively illustration of the 2nd level clusters of the top 4 clusters.

The dashed lines represent the average values of ratios. (I) Topic specific; (II) domain specific; (III) specific & global; (IV) global.

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Table 3.

Average number of citations for the 2nd level sub-clusters of clusters #1.

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Table 3 Expand

Table 4.

Average number of citations for the 2nd level sub-clusters of clusters #2.

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Table 5.

Average number of citations for the 2nd level sub-clusters of clusters #3.

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Table 6.

Average number of citations for the 2nd level sub-clusters of clusters #4.

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Fig 8.

Illustration of how the adoption of teleworking may have influenced the dynamic of labor market.

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Fig 9.

Groups of teleworking research topic’s clusters based on citation relativity analysis and the shift of clusters towards topic-specific group.

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