Mapping Knowledge Structure of Obstetrics and Gynecology studies: A Co-Word Analysis

This study aimed to investigate the knowledge map in obstetrics and gynecology research using network analysis and visualization approaches through co-word analysis.

This applied research has been conducted with a scientometrics approach using the co-word analysis. The study population consisted of 57769 records on obstetrics and gynecology indexed in the Web of Science Database during 2014-2018.

The keywords "Pregnancy" and "Pregnancy-Preeclampsia" have been shown to have the highest rate of frequency and co-occurrence frequency in obstetrics and gynecology research, respectively. Hierarchical clustering leads to the formation of seven clusters, Clusters of "Caesarean", "Preeclampsia" and "Women's Cancer" are considered as adult clusters and "infertility" cluster is not a central cluster, but it is developed. It was also found that the clusters of "pre-natal screening", "menopause" and "pregnancy complications" are among the emerging or declining clusters.

Conclustion: 

The knowledge structure of obstetrics and gynecology revealed the status of research in this field which could be a guide for future researches. In the field of obstetrics and gynecology, issues related to infertility and its psychological problems need more attention from researchers.