A Scientometric Analysis of the Journal of “Language Related Research

Abstract

This study employed a comprehensive scientometric analysis of scientific publications within the Journal of Language Related Research from 2012 to 2023, encompassing 871 journal documents. Utilizing VOSviewer software, quantitative tools were applied to analyze research output, authorship, collaboration patterns, thematic trends (past, present, and future), and geographical distribution. The analysis revealed a significant increase in the number of publications in recent years, though citation rates displayed variation across the timeframe. Visualizations based on co-authorship, bibliometric coupling, and citation data unveiled a dense network of collaboration among authors. The authors with the highest number of publications were Golfam (n =17) and Pishghadam (n =16), while Derakhshan (78) and Shakki (65) were the two authors with the most citations. Analysis of "authors' keywords" and "keywords plus" co-occurrences within the network pinpointed prominent thematic areas within the journal's knowledge domain and context, including "Persian language," "critical discourse analysis," "semiotics," and "cognitive linguistics." The study concludes with a discussion of the findings and their broader implications.