China
Africa
Explore chapters and articles related to this topic
Introduction to secondary research methods in the built environment
Published in Emmanuel Manu, Julius Akotia, Secondary Research Methods in the Built Environment, 2021
Another secondary design that is more quantitative in nature and which is growing in popularity in the built environment is bibliometric research. Bibliometric research or analysis and its sub-approaches, such as scientometric research or science mapping, are alternative quantitative approaches to SLRs and are used to synthesise various trends from published academic literature. Bibliometric research involves the analysis of quantitative patterns relating to a cluster of scientific documents within a given domain (De Bellis, 2009) through the computation of quantitative metrics from published academic literature. The analytical methods that are used in bibliometric research include co-author analysis, co-citation analysis, and keyword analysis. Bibliometric research and its sub-approaches, such as scientometric research, have been presented in Chapters 9–13, including case examples that reflect their growing popularity across various built environment disciplines.
Scientometric study and visualization of constructed wetlands (1998-2017)
Published in Alka Mahajan, Parul Patel, Priyanka Sharma, Technologies for Sustainable Development, 2020
Nandini Moondra, Robin A Christian, Namrata D Jariwala
Bibliometric strategies connected in this examination were: (i) co-author analysis which empowers us to distinguish top scientists for constructed wetlands research(ii) co-citation analysis helps in recognizing co-referred to authors, co-referred to articles and co-cited journals through which we can get the idea about the frequency with which various research are cited together by different paper.
A systematic bibliometric review on enhanced oil recovery by gas injection
Published in Petroleum Science and Technology, 2022
Bibliometrics is the use of statistical methods to analyze scientific literature. Citation analysis is a commonly used bibliometric method that examines the frequency, patterns, and graphs of citations in documents in order to explore the knowledge structure and emerging trends of a scientific discipline. Bibliometric tools typically take scientific publications in the literature as an input and generate interactive visual representations of complex structures for statistical analysis and interactive visual exploration (Chen et al. 2012). A great deal of bibliometric tools are available such as CiteSpace, VOSviewer, SCI2, BibExcel, HistCite, Gephi, etc. Thereinto, CiteSpace has its advantages in supporting the function to conduct several types of bibliometric studies, including collaboration network analysis, co-word analysis, author co-citation analysis, document co-citation analysis, and text and geospatial visualizations (Chen 2017). In this study, we focus on the analysis of document co-citation and network visualization by means of the CiteSpace software.
Progresses and emerging trends of arsenic research in the past 120 years
Published in Critical Reviews in Environmental Science and Technology, 2021
Chengjun Li, Jiahui Wang, Bing Yan, Ai-Jun Miao, Huan Zhong, Wei Zhang, Lena Qiying Ma
Co-citation analysis can help identify the underlying patterns of research progress and emerging trends since it allows citations to be grouped into different clusters based on how individual publications have been co-cited in the source papers that make up the sample. In addition, burst term analysis is also a trustworthy tool that can be used to help identify emerging trends in a specific research area (Chen et al., 2010). Therefore, co-citation and burst term analyses were performed using CiteSpace. Time could be divided into three different periods, i.e., 1900-1967, 1968-1990, and 1991-2019, based on the pattern of publication number over time (Figure 1). However, due to the dramatic increase in publications in the last 30 years, a more detailed review on each decade was conducted. Therefore, there were 5 periods included, i.e., 1900-1967, 1968-1990, 1991-2000, 2001-2010, and 2011-2019.
Mapping the first decade of circular economy research: a bibliometric network analysis
Published in Journal of Industrial and Production Engineering, 2021
Mohamad Alnajem, Mohamed M. Mostafa, Ahmed R ElMelegy
Citation-based analysis represents a valid measure for the influence of authors since citations are generally regarded by researchers as footprints that bear witness to the passage of academic ideas [96,97]. For example, Adams et al. [98] argued that citation analysis can be used to link an author to a specific topic, subject, methodology, or school of thought. In a similar vein, Zhao and Strotman ([99], p. 2) noted that citation analysis can be used to assess scholarly contributions and evaluate information sources, examine uses of scholarly literature, map the flow of knowledge and diffusion of ideas, support information organization, representation, and retrieval, and track research fields and their intellectual structure. In fact, dense citation structures have previously been implemented to detect the use of similar methodologies/content areas [100], to validate association with certain research traditions [101], to examine the relationships between academic journals [102], to identify influential theories [103] or authors [104]. Figure 7 depicts a network representing the most influential authors in the early stages of CE. From the graph, it is evident that authors such as Yong Geng, Fiona Charnley, and Stephen Pauliuk played an instrumental role during the initial stages (2009–2012) of the field.