BIBLIOMETRIC ANALYSIS OF ONOMASTICS: THEMATIC AREAS AND RESEARCH DYNAMICS (2005–2025)

2026

Full text Open access: Gold Metadata (CSL-JSON)
DOI 10.52301/2957-5567-2026-5-1-88-103
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

The purpose of this study is to examine the dynamics, structure, and main thematic areas of onomastics research by means of bibliometric analysis of Scopus publications retrieved using the keyword “onomastics for the period 2005–2025. From 1,915 initially retrieved documents, the application of a temporal filter resulted in 1,834 publications. After duplicate removal and the correction of technical errors, 1,702 valid records were selected for analysis using the Bibliometrix package in RStudio. The results show a steady and accelerating increase in publication output, from 9 articles in 2006 to 203 in 2024, with the most productive period beginning after 2020, indicating the rapid maturation of onomastics as a discipline. Keyword co-occurrence analysis made it possible to identify three primary thematic clusters: (1) historical-linguistic and structural (historical linguistics, etymology, semantics), (2) applied and literary onomastics (translation, nomenclature), and (3) anthroponymic and cultural (personal names, socio-onomastics). The study demonstrates the expansion of global scientific collaboration and the strengthening of the interdisciplinary character of onomastics. These findings characterize current trends in the discipline and provide a foundation for future research, including in-depth cluster analysis, cross-database comparisons (Scopus vs. WoS), longitudinal tracking of emerging areas (socio-onomastics, digital naming), and the integration of altmetrics to assess broader scholarly impact