Bibliometric analysis is a quantitative method designed to analyze large volumes of scientific output data and to map the intellectual landscape of a specific area of knowledge by describing its scientometric indicators (e.g., number of publications and citations, etc.) and structural relationships (e.g., co-authorship patterns, keyword clustering, etc.) between its different components. In this article, methods of bibliometric analysis are applied to the corpus of publications on eye movement desensitization and reprocessing (EMDR) therapy research. A total of 1,150 papers found in the Web of Science database and published between 1994 and early 2021 were included in the analysis. Retrieved bibliometric data was analyzed and visualized using VOSViewer software. Temporal distribution of publications (number of publications per year); spatial distribution of publications (author affiliations); top journals; impact of EMDR research as assessed by highly cited publications; author co-citation as a measure of collaboration; literature co-citation as a measure of internal structure; and key terms were analyzed. The results of the study provide the readers with a broad, “one-stop overview” of the current state of research on EMDR therapy, with a focus on the quantitative characteristics of its output and on the key represented topics.
Springer Publishing Company
Copyright © 2022 EMDR International Association
Bogolyubova, O., & Lovakov, A. (2022). Journal of EMDR Practice and Research, 16(2), 76–91. https://doi.org/10.1891/EMDR-2021-0008
Journal of EMDR Practice and Research