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The purpose of the study is to explore the bibliometric features of scientific publications in the area of domestic violence (an important global social problem) for the period 2011–2020; thus, enabling the scientific community to understand the research progress on the topic.

The data of the scientific publications were retrieved from the Scopus database. The keyword “Domestic Violence” was applied as a topic term to search articles published during the study period. The statistical analysis was conducted by using the RStudio and VOSviewer tools along with MS Excel.

A total of 11,899 scientific works were published during the study period. The annual percentage growth of publication in the area of domestic violence in the study period is 74.97%. The majority of the papers (74.72%) were published as journal articles. USA and UK have the highest numbers of scientific publications and citations. Together they account for more than half of the publications (58.38%) and citations (67 per pub). However, the highest average citation per publication has been recorded by Switzerland (34 per pub). Feder G. (UK) is the most cited author, and the Journal of Interpersonal Violence (Sage publications) has the highest number of publications, citations and source title impact ratio in the domain of domestic violence.

One can find numerous bibliometric studies in the domain of natural science, but not many studies have been conducted in the field of social sciences. In this light, the scientific community can gain from the bibliometric information regarding the scientific publications in the area of domestic violence, which is one of the dominant areas of study in social sciences.

The study will provide significant information on the trends of academic publications in the study area. It is one of the most comprehensive studies on domestic violence, which will aid the potential researchers in identifying the most prominent contributions, county-wise research distribution, author and journal productivity and other related indicators. The findings of the study will be also helpful to library authorities in reviewing and updating collection development policy.

This study aims to examine the research productivity and network visualisation on reproductive health (RH) domain with several bibliometric indicators and applied visualisation approach in co-authorship, citation, co-occurrence of keywords and bibliographic coupling analysis in the area of RH.

This study used bibliometric indicators to determine the highly productive authors, source title, documents and organisations. This study used Web of Science database and retrieved a total of 18,186 scientific publications on the domain of RH published during the period of 2010–2020. Data analysis was also performed using VOS viewer software and RStudio.

The findings discovered the increasing trends of research publications in reproductive health in past ten years. The USA UK, China and Australia were the top four productive countries in terms of publishing research in the arena, and “Kishsin DM” and “Hauser R” have secured in top two positions under highly prolific authors category. University of California, Harvard University and University of London were observed under the top three productive institutions in the domain. This study also revealed association and collaboration among authors, country and institutions in the visualisation analysis. The core findings of co-occurrence of keywords emphasised that “RH,” “assisted reproductive technology,” “women,” “pregnancy” and “in-vitro fertilization” were established frequently used keywords and have robust link strength.

The findings will be helpful to the researchers to know about the status of latest trends and development of the domain. This study is also helpful to the library authority for collection development in the specific subject domain.

To the best of the authors’ knowledge, there was no past study found on the evaluation of research productivity and network visualisation in the domain of RH, which is a globally important issue.