Reviewing Online Learning Facing the Covid-19 Outbreak

155 indexed citations
published 2020
Authors
Unung VerawardinaLise AsnurYeka HendriyaniDochi RamadhaniIka Parma Dewi
Journal
Journal of Talent Development and Excellence

In The Last Decade

doi.org/w4138022 →

Countries where authors are citing Reviewing Online Learning Facing the Covid-19 Outbreak

Specialization
Citations

This map shows the geographic impact of Reviewing Online Learning Facing the Covid-19 Outbreak. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Reviewing Online Learning Facing the Covid-19 Outbreak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reviewing Online Learning Facing the Covid-19 Outbreak more than expected).

Fields of papers citing Reviewing Online Learning Facing the Covid-19 Outbreak

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Reviewing Online Learning Facing the Covid-19 Outbreak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Reviewing Online Learning Facing the Covid-19 Outbreak.

About Reviewing Online Learning Facing the Covid-19 Outbreak

This paper, published in 2020, received 155 indexed citations . Written by Unung Verawardina, Lise Asnur, Yeka Hendriyani, Dochi Ramadhani and Ika Parma Dewi covering the research area of Education. It is primarily cited by scholars working on Education (120 citations), Information Systems (59 citations) and Clinical Psychology (29 citations). Published in Journal of Talent Development and Excellence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w4138022.

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