The Bibliometric Analysis of Studies on Distance Education

Abstract

This research determines the trends of academic articles on distance education in the COVID-19 epidemic and provides a roadmap for possible future studies on this topic. In this context, bibliometric and content analysis methods were used. Research data were collected through the Web of Science (WOS) database. As a result of the filtering process on WOS, 767 scientific articles were included in the research. In the data analysis process, the articles were reviewed in terms of the year, country, journal, publication language, citation, co-authorship, co-occurrence, and co-citation. Research results indicate that the articles were published between 2020 and 2021 and generally in English. “Journal of Chemical Education” is the journal with the most publications and the most cited and co-cited journals. The USA draws attention as the country that publishes the most, has the most citations, and cooperates the most. The most cited article was conducted by Chick et al. According to the co-occurrence analysis, it is seen that the terms “COVID-19” and “distance learning” are frequently used by the authors. The findings were discussed within the framework of the literature, and other studies and suggestions were made.

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Stored only when both papers are in the corpus — 25 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.