VISUALIZING THE KNOWLEDGE DOMAIN OF INTERCULTURAL CONFLICT RESEARCH BETWEEN 2000 AND 2020: A BIBLIOMETRIC ANALYSIS

2021 ◽  
Vol 77 (4) ◽  
Author(s):  
Weiping Wu ◽  
Renzhong Peng ◽  
Jingshuang Chen
Keyword(s):  
Bibliometric Analysis ◽  
Knowledge Domain ◽  
Intercultural Conflict ◽  
Conflict Research

scholarly journals Application of the Theory of Planned Behavior in Environmental Science: A Comprehensive Bibliometric Analysis

2019 ◽  
Vol 16 (15) ◽  
pp. 2788 ◽  
Author(s):  
Hongyun Si ◽  
Jian-gang Shi ◽  
Daizhong Tang ◽  
Shiping Wen ◽  
Wei Miao ◽  
...  
Keyword(s):  
Theory Of Planned Behavior ◽  
Bibliometric Analysis ◽  
Planned Behavior ◽  
Environmental Science ◽  
Mainland China ◽  
Science Research ◽  
The United States ◽  
Sustainable Transportation ◽  
Application Framework ◽  
Knowledge Domain

Since the theory of planned behavior (TPB) was proposed by Ajzen in 1985, it has attracted extensive interest and been widely applied worldwide. Although an increasing number of studies have employed the TPB in the domain of environmental science, there have been no attempts to retrospectively analyze existing articles. The current study aimed to holistically understand the application status of the TPB in environmental science from a knowledge domain visualization perspective. A total of 531 journal articles were obtained through the Scopus database to perform a bibliometric analysis and content analysis. The results showed that waste management, green consumption, climate and environment, saving and conservation, and sustainable transportation are the primary research topics; the United States (U.S.), Mainland China, the United Kingdom (UK), and Malaysia are the most productive countries/regions. Moreover, the cross-disciplinary situations, main source journals, and key articles were revealed. Furthermore, the extended factors, integrated theories, major methods, specific groups, and control variables of environmental science research using the TPB were elaborated and integrated into a comprehensive application framework. Constructive criticisms were ultimately discussed. The findings contribute in several ways to help relevant researchers learn about the application of TPB to environmental science and provide new insights and holistic references for further research on environment-related behavior.

scholarly journals Mapping Knowledge Domain Analysis in Smart Education Research

2021 ◽  
Vol 13 (23) ◽  
pp. 13234
Author(s):  
Xing-Rong Guo ◽  
Xiang Li ◽  
Yi-Ming Guo
Keyword(s):  
Education Research ◽  
Bibliometric Analysis ◽  
Information Age ◽  
Learning Opportunities ◽  
Research Field ◽  
Knowledge Domain ◽  
Education Development ◽  
High Quality Education ◽  
Smart Education ◽  
Educational Trend

Smart education is considered an inevitable choice and an important educational trend development in the Information Age. Smart education development can promote learning opportunities to master high-quality education and lifelong learning. It vigorously promotes sustainable development. A bibliometric analysis was performed to better understand smart education research field knowledge structures and help researchers understand smart education research field characteristics. VOSviewer and CiteSpace were used to analyze 2358 Web of Science core collection articles related to smart education. The articles were dated 2000–2021. This study visually presents a systematic overview of smart education literature research, including the publication outputs, main categories, most influential countries, organizations, journals, and authors, important documents, and research academic trends. Using a series of cooperation analyses, this paper looked at research cooperation among countries and regions, organizations, and authors to build a smart education knowledge structure map. A smart education theoretical framework was proposed based on the literature review. A bibliometric analysis of the existing research results provided useful and innovative suggestions for researchers and practitioners in the field of smart education.

scholarly journals Current trends and future perspective of renewable energy research in Africa; A Bibliometric analysis

2021 ◽  
Author(s):  
Sandylove Afrane ◽  
Jeffrey Dankwa Ampah ◽  
Emmanuel Mensah Aboagye
Keyword(s):  
Renewable Energy ◽  
Bibliometric Analysis ◽  
Renewable Energy Sources ◽  
The Body ◽  
Future Perspective ◽  
Energy Research ◽  
Knowledge Domain ◽  
Current Trends ◽  
Global Mapping ◽  
University Of Cape Town

Abstract Several countries across the African continent have been challenged with energy crisis for decades. A growing number of studies have identified renewable energies as a sustainable way for Africa to address its persisting energy situation, as the continent has in abundance some of the popular renewable energy sources. However, little has been reported in the body of literature about this growing research area's global mapping and knowledge domain. By bridging this gap in research, it becomes easy to identify which authors, countries, organizations/institutions are likely to produce research that paves the way for the easy penetration of renewable energy into the existing African energy mix. Moreover, potential investors in the continent’s renewable energy can easily identify the most popular and advantageous renewable energy to invest in. Thus, the current study seeks to achieve these aims by conducting a bibliometric analysis on 1037 publications extracted from the Web of Science Core Collection using the VOSviewer software. The results from the study revealed a growing interest in Africa’s renewable energy, with a 200% increase within the last five years. The most productive journal, institution, and country in this subject have been Energy Policy, University of Cape Town, and South Africa, respectively. Research hotspots under different study themes also revealed that ‘solar energy,’ ‘CO2 emissions,’ and ‘rural electrification’ are hot issues that have gained maximum attention over the years. Results from the current study provide a paradigm for the development of Africa’s renewable energy sector.

Exploring the knowledge domain of earthquake prediction based on bibliometric analysis and text mining

2021 ◽  
pp. 1-17
Author(s):  
Xiaorong He
Keyword(s):  
Text Mining ◽  
Bibliometric Analysis ◽  
Earthquake Prediction ◽  
Citation Index ◽  
Knowledge Domain ◽  
Scientific Publications ◽  
Main Research ◽  
Detection Techniques ◽  
Subject Categories ◽  
Earthquake Research

Earthquake prediction is one of the important themes of earthquake research, and it is also a very difficult scientific problem in the world. In this study, a bibliometric analysis is conducted on the scientific publications about earthquake prediction indexed in SCIE (Science Citation Index Expanded) and SSCI (Social Sciences Citation Index) databases during the past two decades (1998–2017). The subject categories, annual and journal distributions, leading countries/regions and institutions are investigated in this field. The main research topics are identified through text mining method. The research trends are explored by keyword co-occurrence analysis and bursting keywords detection techniques. The results of this study are helpful for scholars in this field to find the knowledge structure and important participants. It is also helpful for scholars to seize the current research hotspots and future development trends in this field.

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