100
Views
1
CrossRef citations to date
0
Altmetric
Research Articles

A Twenty-Year Trend Analysis of Literary Warrants on Digital Literacy and Digital Competency Through SCOPUS Database

&

References

  • Aria, M., and C. Cuccurullo. 2017. Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics 11 (4):959–75. doi:10.1016/j.joi.2017.08.007.
  • Chalissery, N., M. I. Tabash, T. M. Nishad, and M. A. Saleh Al-Faryan. 2023. A bibliometric analysis of socially responsible investment based on thematic clustering. Cogent Business & Management 10 (1):2154057. doi:10.1080/23311975.2022.2154057.
  • Cisneros-Barahona, A., L. Marqués Molías, N. Samaniego-Erazo, M. I. Uvidia-Fassler, W. Castro-Ortiz, and H. Villa-Yánez. 2023. Digital competence, faculty and higher education: Bibliometrics from the web of science; Competencia digital, profesorado y educación superior: Bibliometría desde la web of science. https://journals.eagora.org/revHUMAN/article/view/4680.
  • Fu, X., Z. Niu, and M.-K. Yeh. 2016. Research trends in sustainable operation: A bibliographic coupling clustering analysis from 1988 to 2016. Cluster Computing 19 (4):2211–23. doi:10.1007/s10586-016-0624-3.
  • Glänzel, W., and B. Thijs. 2017. Using hybrid methods and ‘core documents’ for the representation of clusters and topics: The astronomy dataset. Scientometrics 111 (2):1071–87. doi:10.1007/s11192-017-2301-6.
  • Kocak, M., C. García-Zorita, S. Marugán-Lázaro, M. P. Çakır, and E. Sanz-Casado. 2019. Mapping and clustering analysis on neuroscience literature in Turkey: A bibliometric analysis from 2000 to 2017. Scientometrics 121 (3):1339–66. doi:10.1007/s11192-019-03259-w.
  • Liu, R.-L. 2017. A new bibliographic coupling measure with descriptive capability. Scientometrics 110 (2):915–35. doi:10.1007/s11192-016-2196-7.
  • Mursidi, A., B. Buyung, and E. Murdani. 2022. Digital literacy competence levels of Indonesian junior high school students based on activities through the 5m approach. https://journal.stkipsingkawang.ac.id/index.php/JETL/article/view/3775.
  • Rathinam, S., and S. A. Sankar. 2019. Application of author bibliographic coupling analysis and author keywords ranking in identifying research fronts of Indian Neurosciences research. Library Philosophy & Practice. Article 2439. https://digitalcommons.unl.edu/libphilprac/2439/.
  • Schütz, M., L. S. Zilian, and S. S. Zilian. 2022. The nexus between digital skills/competencies and work: A bibliometric study. https://www.ssoar.info/ssoar/handle/document/82024.
  • Surendra, A., and A. M. Osuri. 2020. Introduction to R programming (MSc-Wildlife_NCBS-India). https://doi.org/10.5281/zenodo.6756872.
  • Tor, A. B., C. Stefano, G. Kevin, M. Fiona, M. Filippo, E. S. Philip, and V. Antonis. 2019. Beyond bibliometrics. https://figshare.com/articles/journal_contribution/Beyond_bibliometrics/9485054.
  • Wu, B., Y. Xu, and M. Zhu. 2017. Research trends in e-learning research: A review of the literature from 2006 to 2015. Journal of Educational Technology & Society 20 (2):12–28.
  • Yadav, S., A. Chhabra, and G. Mahesh. 2022. Mapping, clustering, and analysis of research in psychiatric genomics. Psychiatric Genetics 32 (6):221–37. doi:10.1097/YPG.0000000000000325.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.