A Bibliometric Exploration of Scientific Production, Citation Impact, and Trends in English Language Secondary School Teacher Effectiveness in India
DOI:
https://doi.org/10.25215/1402.184Keywords:
English Language Teacher Effectiveness, Bibliometric Analysis, Secondary Education in India and Research Trends, and Citation ImpactAbstract
The present study focuses on tracing the historical development in scientific production, citations, and themes in research related to English language teachers’ effectiveness among Indian secondary schools in order to overcome fragmented knowledge over the subject. This paper uses the bibliometrics method based on data obtained from Web of Science Core Collection during the time span 2007-2026. There was a total number of 601 documents used; to generate the findings of this study. The Biblioshiny (R software) was used to complete the analysis process where metrics such as yearly scientific production, citation, authorships, source and conceptual analysis performed. Various advanced bibliometric techniques were included like co-authorship, co-citation, keyword clustering, thematic evolution, and factor analysis. The PRISMA guidelines were applied to ensure robustness of findings. It has been found that there is a significant trend of increased scientific productivity (at 8.84%) indicating a research interest. The citation analysis shows an unequal pattern, with a small number of very influential papers defining the subject. Core journals lead publication outputs, supporting Bradford’s law, whereas author contributions demonstrate high levels of cooperation but fragmented research networks. India leads in research production, although there is no significant international collaboration. However, as far as the theoretical aspect is concerned, the subject area transitions from general educational issues to a more practical and analytical standpoint through the use of multi-dimensional analysis, which includes socio-educational, technological, and forecast approaches. However, the emergence of conflicting themes might indicate contaminated data. The importance of greater theoretical unity, accuracy in data, and constant international collaboration has been emphasized in this study.Published
2026-06-30
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