Delineating Gender Studies through bibliometric analysis

Shokida, N., Kozlowski, D., Larivière, V. (2024). Delineating Gender Studies through bibliometric analysis. Proceedings of the 28th Science, Technology and Innovation conference.

The multidisciplinary nature of Gender Studies poses challenges for bibliometric analyses, but new computational tools can be incorporated to identify publications related to Gender Studies even when they are scattered across multiple disciplines. In this paper, we apply bibliometric techniques and natural language processing on the Dimensions database to build a dataset of scientific publications that allows for the analysis of Gender Studies and its influence across different disciplines. This is achieved through a methodology that combines a core of specialised journals, and keyword search over titles. These keywords are obtained by applying Topic Modeling (BERTopic) to the corpus of titles and abstracts from the core. The resulting dataset comprises over 1.5 million articles published between 1970 and 2020, spanning four languages. It enables characterization of Gender Studies in terms of addressed topics, citation/collaboration dynamics, and institutional/regional participation, offering a methodology adaptable to diverse interdisciplinary studies.

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