Mapping Visualization Analysis of Computer Science Research data in 2017-2021 on the Google Scholar database with VOSviewer

  • Dwi Fitria Al Husaeni Universitas Pendidikan Indonesia, Indonesia
  • Asep Bayu Dani Nandiyanto Universitas Pendidikan Indonesia, Indonesia
Keywords: Bibliometric, Computer Science, Mapping Analysis, VOSviewer

Abstract

The purpose of this research is to examine the
development and interrelationships between terms in
computer science research using mapping analysis with
VOSviewer. The research data was collected from the
Google Scholar database for the period 2017-2021 using
the Publish or Perish 7 application. Data collection was
based on the keyword "Computer Science". The data
search results found 992 articles that were considered
relevant. The results showed that computer science
research experienced high popularity in 2018 with a
total of 232 articles. Computer science research
experienced a decline in research in 2019-2021. Based on
the mapping analysis that has been done using the
VOSviewer application, computer science terms are
connected to 4 main terms in each cluster, namely
student, computer science education, education, and
skills. Computer science research is mostly associated
with the term student, namely the strength of link 221.
This research can be used as a reference in determining
the research theme or research discussion topic in the
field of computer science.

Published
2022-06-26
How to Cite
[1]
D. Al Husaeni and A. Nandiyanto, “Mapping Visualization Analysis of Computer Science Research data in 2017-2021 on the Google Scholar database with VOSviewer”, INJIISCOM, vol. 3, no. 1, pp. 1-18, Jun. 2022.