Bibliometric Analysis and Topic Modeling of Information Systems in Maternal Health Publications

The articles were retrieved from the Web of Science (WoS) on October 23, 2021. The bibliometric indicators included the number of documents and citations, top journals, institutes, and countries. The co-authorship collaboration network of the countries was examined using Bibliometrix 3.1 package and VOSviewer software (ver. 1.6.17). In addition to bibliometric analysis, the related topic modelling was calculated with Non-Matrix Factorization (NMF) algorithm in Python programming language. Overall, 1140 original articles were published in the selected field in the WoS database within the years 1991-2021. The results demonstrated an ascending growth in the number of publications. The "The University of London", the "London School of Hygiene Tropical Medicine", and the "World Health Organization"  (WHO) contributed the most to this field orderly. Researchers from the USA with 372 (32.63%), Brazil with 267 (23.42%), and England with 150 (13.2%) documents had the most scientific collaboration on publishing in this regard. The USA and England had the most collaboration in 38 articles in the co-authorship network of countries. Based on topic modelling analysis, five topic clusters, including "maternal mortality", "child and infant mortality", "risk factors related to pregnancy and maternal health", "Geographic Information Systems (GISs)", and "data quality in Health Information Systems (HISs)" were considered for this research. According to the research results, it can be concluded that there is a rising trend in the number of articles published in the field of information systems in maternal health. The USA, Brazil, and England have played a prominent role in scientific production in this regard. Given that this study gives a snapshot of the current status of the research topic and visualizes the collaboration between countries, the obtained results can guide future collaboration and encourage scientific institutes to expand their interactions.