ArticleHeliyon2024
Mapping the research landscape: A bibliometric analysis of e-learning during the COVID-19 pandemic.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- E-Learning Modules Based on Bloom Taxonomy and the Miller Pyramid for First-Year Indian Medical Students: Randomized Controlled Study in Medical Education.JMIR human factors · 2026Trial
- The Historical Evolution of Microlearning in Health Professions Education: Bibliometric Analysis.JMIR medical education · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The COVID-19 pandemic has considerably affected e-learning, leading to a surge in research output from 2020 to 2022. This increase is attributed to the rapid transition to online education, presenting challenges and opportunities for teachers. The shift to online education has also prompted the exploration of innovative approaches and educators' as well as learners' perceptions and experiences in e-learning. In this study, the research output on e-learning from 2020 to 2022 has been analyzed to reveal the major research trends. The study employs bibliometric techniques to explore the data retrieved from Scopus. Particularly, an analysis of metadata such as the geographical distribution of publications, authorship, keywords, and the impact of works has been conducted. The results reveal the most influential authors and works, as well as the emerging topics in the field. The data has been processed by utilizing bibliometric tools such as VOSviewer, Citespace, and Harzing's Publish or Perish.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.