scholarly journals Evaluation of research topic evolution in psychiatry using co-word analysis

Medicine ◽  
2017 ◽  
Vol 96 (25) ◽  
pp. e7349 ◽  
Author(s):  
Ying Wu ◽  
Xing Jin ◽  
Yunzhen Xue
Keyword(s):  
Research Topic ◽  
Topic Evolution ◽  
Word Analysis

scholarly journals Technological forecasting related to the energy sector: a scientometric overview

2020 ◽  
Vol 209 ◽  
pp. 02022
Author(s):  
Alexey V. Mikheev
Keyword(s):  
Energy Sector ◽  
Research Topic ◽  
Energy Technology ◽  
Knowledge Domain ◽  
Technology Knowledge ◽  
Technological Forecasting ◽  
Topic Evolution ◽  
Key Points ◽  
Scopus Database ◽  
Oriented Research

Scientometric review of trends and key points of technological forecasting related to the energy sector is carried out in this study. Using co-keyword, co-citation techniques to analyze a set of research and review articles indexed in the Scopus database, clustered networks were built to understand content relationships and research topic evolution within the 2000-2019 period. This study provides an overview of future-oriented research efforts and trends in the energy technology knowledge domain.

scholarly journals Education and Diet in the Scientific Literature: A Study of the Productive, Structural, and Dynamic Development in Web of Science

2020 ◽  
Vol 12 (12) ◽  
pp. 4838 ◽  
Author(s):  
Juan Antonio López Núñez ◽  
Jesús López-Belmonte ◽  
Antonio-José Moreno-Guerrero ◽  
Magdalena Ramos Navas-Parejo ◽  
Francisco-Javier Hinojo-Lucena
Keyword(s):  
Disease Prevention ◽  
Turning Point ◽  
Web Of Science ◽  
Scientific Literature ◽  
Scientific Production ◽  
Research Topic ◽  
Science Literature ◽  
Word Analysis ◽  
Dynamic Development ◽  
Outstanding Issue

Nutrition-related education is necessary to protect and improve the health status of schoolchildren and to minimize the risk of future diseases. The objective of this research was to analyze the trajectory and transcendence of the concepts “education” and “diet” in the Web of Science literature. The methodology focused on bibliometry, analyzing both the performance and the structural and dynamic development of the concepts through a co-word analysis. A total of 1247 documents were analyzed, and the results show that scientific production experienced a turning point in 2009, in comparison to the level of production reported in previous years. The medium of papers and the language of English were the most common. In relation to the research topic, before 2014, scientific production focused on medical and disease-related aspects; however, since 2014, it has focused on disease prevention and feeding. It was therefore concluded that the theme “diet and education” has been researched for more than 20 years, although it is only in the last decade that it has become more relevant—particularly studies focusing on disease prevention and the type of food, specifically fruit, which is presented as the most outstanding issue for researchers in this field of knowledge.

Modeling and Analyzing of Research Topic Evolution Associated with Social Networks of Researchers

2016 ◽  
Vol 7 (3) ◽  
pp. 42-62
Author(s):  
Wei Liang ◽  
Zixian Lu ◽  
Qun Jin ◽  
Yonghua Xiong ◽  
Min Wu
Keyword(s):  
Social Networks ◽  
Research Topic ◽  
Research Trends ◽  
Major Research ◽  
Research Topics ◽  
Academic Literature ◽  
Topic Evolution ◽  
Academic Topic ◽  
Evolution Modeling ◽  
Scientific Collaborations

Research trends keep evolving along the time with certain trackable patterns. Mining academic literature and discovering the latent research trends evolution is an interesting and important problem. Few of previous studies focusing on academic topic evolution modeling have addressed the temporal topic evolution patterns. In addition, researchers' profile and their social networks are valuable complementary to the research trends tracking. In this study, to analyze the underlying research trends evolution along with the scientific collaborations of researchers, a novel temporal research trends evolution model associated with researchers' social networks is proposed and built. Specifically, the detected research topics are classified into different clusters in each timeslot, and the evolution patterns are deduced among these topic clusters. The effectiveness of our approach is evaluated based on a real academic dataset. The experimental results can help users to discover the major research trends for specific fields. Besides, the tracked statuses of the corresponding scientific groups are helpful for searching research trends or finding collaboration opportunities according to researchers' different requirements.

scholarly journals A Systematic Review of Research on Sustainability in Mergers and Acquisitions

2020 ◽  
Vol 12 (2) ◽  
pp. 513 ◽  
Author(s):  
Thais González-Torres ◽  
José-Luis Rodríguez-Sánchez ◽  
Eva Pelechano-Barahona ◽  
Fernando E. García-Muiña
Keyword(s):  
Systematic Review ◽  
Mergers And Acquisitions ◽  
Research Topic ◽  
Academic Impact ◽  
Vos Viewer ◽  
Individual Author ◽  
Word Analysis ◽  
Body Of Knowledge ◽  
Number Of Citations ◽  
Selection Of

The field of mergers and acquisitions and sustainability has been expanding in the last years; consequently, there is a need for a systematic review of the existing body of knowledge. This article aims to fill this gap by providing an overview and synthesis of the research topic. The specific objectives are (1) to assess the academic impact, and (2) to determine the structure of the topic. To achieve these goals, a bibliometric analysis will be carried out through a selection of articles taken from the WoS database from 1900 to 2019. First, the historical evolution of publications will be addressed, the distribution of articles by journal and by individual author, as well as the total number of citations per article. Second, this article will develop networks of co-citations of authors and journals and co-word analysis by using VOS Viewer software. The global results will provide insights into the nature and trends of research on mergers and acquisitions and sustainability.

scholarly journals Research Themes and Hotspots in Nursing Informatics Education Based Co-Word Analysis

2021 ◽  
Author(s):  
Jialin Liu ◽  
Siru Liu ◽  
Yi Yang ◽  
Jinbo Fang
Keyword(s):  
Core Collection ◽  
Web Of Science ◽  
Relevant Literature ◽  
Research Topic ◽  
Nursing Informatics ◽  
Research Topics ◽  
Word Analysis ◽  
Research Themes ◽  
The Web

The purpose of the study is to identify research topics and hotspots in nursing informatics education during the period of 2009–2018. The relevant literature of nursing informatics education was retrieved from the Web of Science Core Collection (WoSCC). This study identified three research themes and hotspots in nursing informatics education using co-word analysis. The themes are curriculum, technology, and nursing informatics. The results provide useful information for researchers to research topic choices and in-depth research.

Sign in / Sign up

Export Citation Format

Share Document