knowledge structure

Given the increasing number of studies on Drought Vulnerability Assessment (DVA), conducting a comprehensive scientometric analysis of scientific results in this field can aid in understanding the current status, trends, and impacts of research.

To create a scientific map of this domain, a total of 1,131 articles from the Scopus database, published from 1990 to 2023, were collected. Scientometric techniques, such as co-authorship networks and co-occurrence networks of keywords, were employed for data analysis. Key indicators, including h-index, citation counts, and journal impact factors, were calculated to assess the visibility and influence of studies. Statistical analyses were performed using R software and VOSviewer.

Results indicated that the growth rate of publications in DVA is approximately 16.5%, with notable increases in both the quality and citation rates of articles over the years. The scientific mapping analysis identified a six-cluster pattern, with the keyword "adaptation and vulnerability management" being the most frequently mentioned. The thematic evolution of studies also showed that in recent years, attention to adaptation issues in drought vulnerability assessment has increased, and a significant relationship was observed between the number of documents and citations (r=0.89) and between the number of authors and citations (r=0.17).

Global attention to DVA has significantly risen in recent years, with countries such as the United States, China, and Australia leading the efforts. Furthermore, adaptation management has emerged as the most important research area, while emerging methods and techniques in vulnerability assessment are expected to lead to greater diversity and consensus in this field.

Co-word analysis, based on Co-occurrence, as one of the important techniques of Scientometrics and bibliometrics, enables the analysis of the content of scientific documents of the specific Research Area. The purpose of the present study is visualize HPV clusters relationships and thematic trends in the world.

The research type is an applied one with analytical approach and it has been done using co-word analysis. The population of this study consists of articles’ keywords indexed during 2014-2018 in the Web of Science (WoS) in HPV subject area. The total numbers of the retrieved and analyzed keywords in this study were 13249. Some software like SPSS, UCINET and VOSViewer were used for data integration and analysis.

The findings showed that the keyword “CERVICAL CANCER” have had the highest frequency and with “CERVICAL INTRAEPITHELIAL NEOPLASIA” and they were co-word couples. The results of the strategic diagram showed that the most clusters in HPV placed in third area of strategic diagram, it means these subjects (clusters) were emerging or declining.

Co-word analysis is suitable method for discover and visualize different sciences and their prominent patterns, hidden relationships and thematic trends research’ subject areas. The results of these analysis and findings of such researches will help research policy makers

Co-word analysis is a reliable way of discovering relationships and revealing links between different disciplines and illustrating the intellectual structure of a discipline. This study attempts to study the intellectual structure of knowledge in medical ethics research using the Co-word analysis technique.

This research is a descriptive-analytical study that analyzes the content of texts with a scientometric approach. The study population consisted of 3296 medical ethics records in the Web of Science database during the period 1998-2018.

Findings showed that in terms of frequency, keywords of bioethics and informed consent were more abundant in medical ethics research. The hierarchical clustering findings led to the formation of 9 clusters in which the clusters of "medical futility", "informed consent" and "medical education with clinical ethics approach" were in the best position. Ethical Considerations: Honesty and trustworthiness in the selection of articles have been reported and citations to the texts have been observed.

The present study showed that Co-Word analysis and clustering can help to understand the structure of the subject relationships in one field. Results of strategic graph analysis showed that "informed consent", "medical education with ethical approach" and "medical futility" is the central clusters. In contrast to the four clusters, "physician-patient relationship", "ethics in medical research", "medical profession and conscientiousness" and "easy death" are emerging or disappearing clusters. Research is lacking in some topics such as abortion, simulation, sterilization and etc.