Elaheh Hosseini; Soheil Jafari; Kimiya Taghizadeh Milani; Seyed Alireza Miran Fashandi; Theoklis Nikolaidis
Abstract
The research aims to visualize and analyze the co-word network and thematic clusters of the intellectual structure in gas turbine thermal management during 1919-2020. The study is applied research in terms of the purpose, which is conducted with a descriptive approach, scientometrics indicators, techniques ...
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The research aims to visualize and analyze the co-word network and thematic clusters of the intellectual structure in gas turbine thermal management during 1919-2020. The study is applied research in terms of the purpose, which is conducted with a descriptive approach, scientometrics indicators, techniques of co-word, and social network analysis. Data analysis and visualization of the co-word network were represented by VoSViewer, SPSS, UCINet, and python Software. The top scientific products in the last century were related to engineering subject area and published by the USA country. Seven main clusters were identified for the index keywords, and 20 main clusters were recognized for the author keywords in Scopus regarding the network structure and thematic clusters based on the co-occurrences. Moreover, 38 clusters were identified based on the hierarchical clusters. The clusters, namely heat flux calculations and radiation effects, thermal performance optimization, and operational considerations, have central and major positions in this field and have more potential to maintain and develop themselves in the future. The future of Research and Development (R&D) activities in the area will be focused on novel cycles, heat map development, and Techno-Economic and Risk Analysis (TERA) by utilizing systematic approaches for the identification of heat sinks and sources, fluid modeling, and environmental considerations. In addition, the emerging contributors in the field will be advanced manufacturing and material considerations.
Mohammad Hadi Yadollahpour; Mousa Yaminfirooz; Sara Amiri; Khadijeh Tahmasbei; Abbas Nikzad
Volume 20, Issue 3 , July 2022, , Pages 245-255
Abstract
The purpose of this study is to evaluate the World Science Productions in the field of religion and health using co-word analysis.The research reviewed scientific documents indexed from 1958 to 2019 on Web of Science (WoS). For analyzing the data and drawing the scientific map, Ravar Matrix and Vosviewer ...
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The purpose of this study is to evaluate the World Science Productions in the field of religion and health using co-word analysis.The research reviewed scientific documents indexed from 1958 to 2019 on Web of Science (WoS). For analyzing the data and drawing the scientific map, Ravar Matrix and Vosviewer tools were used.The data analysis shows that Iran provided only 1.52 percent of global scientific production in this field with 32 scientific documents, and countries such as the US, UK, and Germany are ahead of the others. The co-word analysis shows that the most important topics include spirituality and health, mental health, and medical ethics. In the past 60 years of studies on the three major religions of Islam, Judaism, and Christianity, the relation of spirituality and health has been one of the most significant topics. The findings suggest that the role of spirituality cannot be ignored in promoting the health of communities.https://dorl.net/dor/20.1001.1.20088302.2022.20.3.14.1
Somayeh GhaviDel; Seyed Abolhassan Nezamdost; Nosrat Riahinia
Volume 18, Issue 2 , August 2020, , Pages 97-114
Abstract
The aim of the present study is to visualize the dynamics of conceptual clusters, hidden patterns and emerging knowledge of "cybernetics in Middle Eastern countries" subject area in a global scale based on the co-word analysis of scientific outcomes indexed in the Web of Science database. This research ...
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The aim of the present study is to visualize the dynamics of conceptual clusters, hidden patterns and emerging knowledge of "cybernetics in Middle Eastern countries" subject area in a global scale based on the co-word analysis of scientific outcomes indexed in the Web of Science database. This research is an applied one, performed with the co-word analysis method and analytical approach. The population includes 2280 keywords from 705 records in the cybernetics subject area in Middle Eastern countries, published in 7 journals indexed in the Web of Science database until 2018. To have a coherence set of data and create the co-occurrence matrix, RavarPreMap software applied. Then, using SPSS 16 and VOSViewer, the subjects were clustered and mapped. Specifications of co-word networks such as centrality and density illustrated using UCInet software in the form of a strategic diagram. Thereby, the situation and evolutionary branches of the cybernetics subject area revealed in Middle Eastern countries. The trend of scientific productions in cybernetics in Middle Eastern counties is incremental. Computer science, with 444 records, is the core subject in the mentioned studies. Researchers’ intellectual structures are identifiable in 12 clusters. The most significant cluster is the twelfth one, named master data mining algorithms and including 20 keywords. The distribution of clusters in the strategic diagram shows that Clusters 1, 2, and 4 are core issues in the subject area.Furthermore, they are mature and coherent, being studied at the core of the research area, having a core and developable role. The co-word analysis is a proper and powerful method in discovering and visualizing science and knowledge, tracking sciences, studying the trend of conceptual dynamicity, identifying and analyzing researchable fields in the subject area of cybernetics. This strategic approach can drastically help research planners and policy-makers as well as governmental authorities
Fatemah Makkizadeh
Volume 18, Issue 2 , August 2020, , Pages 189-201
Abstract
The co-words analysis, as a scientometric method, helps us to discover the conceptual relationships between scientific texts and application of such relationships as a means to demonstrate important links that may be difficult to discover in other ways. This article is intended to use an analytical approach ...
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The co-words analysis, as a scientometric method, helps us to discover the conceptual relationships between scientific texts and application of such relationships as a means to demonstrate important links that may be difficult to discover in other ways. This article is intended to use an analytical approach and identify research areas and to reveal the intellectual structure of knowledge in laser researches in biomedicine literature during 2009-2018. In this descriptive-analytical study with a scientometric approach, the data about laser were retrieved from PubMed in MEDINE format, including 7,682 articles with 18,227 keywords. By using co-word analysis, clustering methods, and strategic diagram; the data were analyzed with the help of SPSS 20, UcInet, and VOSviewer software. This study found that a steady growth could be seen on the laser research and 19.47% of publications are found in 5 journals. The most frequent keywords in the field of laser have been “lasers, solid-state”, “laser therapy”, “lasers, excimer”, etc. The results of cluster analysis shaped the concepts of laser in 7 clusters. The cluster “laser, excimer” was well developed and it plays an effective role. In contrast, “Photo chemotherapy”, “skin diseases with Emphasis on Lasers, gas”, “Laser Effects”, “Laser dentistry “and “Corneal Surgery, Laser” were relatively immature, which necessitates potential research space for future study. This research used co-word networks that indicate the important links between keywords of research areas. Disclosing the thorough context of issues which were encountered at the time of investigating, these networks will be used in locating knowledge gaps. Majority of research approaches include treatments or therapeutic aspects of laser in ophthalmology. The lack of some topics such as cardiology, oncology, optogenetics etc. shows that they have not been considered. Moreover, nevertheless of the practice site, application, or system in use, there is the goal of making and keeping a laser-safe environment for the staff, the user, and patient. These subjects have not been sufficiently considered.
