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Artificial Intelligence in Concrete Materials
Published in M.Z. Naser, Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure, 2023
Zhanzhao Li, Aleksandra Radlińska
To this end, the present chapter utilized scientometric techniques to conduct quantitative analysis on the literature regarding AI in concrete materials. Scientometrics is a branch of informatics that quantifies features and characteristics of science and scientific research, and unravels emerging research trends and knowledge structures in the research domain (Chen et al., 2012). While manual review provides an insightful overview of the research field, scientometric tools take scientific literature as an input and generate interactive visualization and mapping in a more effective and efficient manner (Börner et al., 2003). The objectives of this chapter are to: (1) quantitatively analyze existing literature within the topic by scientometric techniques (i.e., keyword co-occurrence analysis and documentation co-citation analysis); (2) highlight hot research topics and applications of AI in concrete materials; and (3) identify research gaps for further adoption of AI in the construction industry.
A scientometric analysis of demand forecasting (1975–2015)
Published in Yafei Zheng, Kin Keung Lai, Shouyang Wang, Forecasting Air Travel Demand, 2018
Yafei Zheng, Kin Keung Lai, Shouyang Wang
Scientometrics, a discipline aiming at measuring and analyzing science, technology and innovation, is mainly about understanding the scientific citations, assessing the impact of specific journals and articles and investigating the future research trends. Although there are many methods in literature to study a scientific activity and phenomenon, the scientometric analysis is trusted and proven as a well-performing means for achieving these analysis goals. Scientometrics is mostly developed based on the work of Derek J. de Solla Price and Eugene Garfield. Eugene Garfield created the Science Citation Index, which is considered as the basis of the scientometrics and used widely by researchers when implementing a scientometric analysis. Compared with the sociology of science, which mainly focuses on the behavior of the scientists, a scientometric analysis focuses mostly on the analysis of publications and citations, to explore the basic research patterns and future research trends. Hence, scientometrics can also be referred to as an empirical study of the related references and citations within a specific discipline. The main research focuses of these scientometrics studies include journal rankings (e.g., Lowry et al., 2004; Lowry et al., 2013; Lowry et al., 2007a), establishing the faculty productivity and tenure standards (e.g., Dean et al., 2011), assessing the influence of top articles (e.g., Karuga et al., 2007) and developing profiles for researchers and institutions based on their research performance (e.g., Lowry et al., 2007b).
Big Data Optimization in Electric Power Systems: A Review
Published in Ahmed F. Zobaa, Trevor J. Bihl, Big Data Analytics in Future Power Systems, 2018
Iman Rahimi, Abdollah Ahmadi, Ahmed F. Zobaa, Ali Emrouznejad, Shady H.E. Abdel Aleem
Scientometric is a key enabler that observes scientific publications to explore the structure and growth of a specific science using some quantitative measures of scientific information, as the number of scientific articles published in a given period, their citation impact, etc. (Rajendran et al., 2011). The main idea is to visualize data on behalf of a principal subject area to signify the whole activities in scientific output. The scientometric mapping technique is used to find the most common keywords that were used in recent research articles. For this aim, the title “large-scale power system” is searched in SCOPUS database which recalled about 1,107 scientific articles. Figure 4.2 presents the distribution of these papers from the 1970s.
State of play in technology and legal framework of alternative marine fuels and renewable energy systems: a bibliometric analysis
Published in Maritime Policy & Management, 2022
Paweł Kołakowski, Mateusz Gil, Krzysztof Wróbel, Yuh-Shan Ho
Scientometrics is a scientific method applied to gain a quantitative understanding in the expansion of research on certain (sub-)domains. Moreover, besides trends investigation, it also allows for visualizing metrics containing measurable information about a scientific domain (J. Li, Goerlandt, and Reniers 2021). It mainly aims to achieve a better understanding of the mechanisms of scientific study as a social activity. Meanwhile, bibliometrics is a study on the relationship between the numbers and patterns in bibliographic data and uses indicators, such as the number of the documents, and database usage. Scientometric mapping (also called research/science mapping), as a sub-domain of the scientometric method, shows the application of quantitative methods for understanding and visually representing particular metrics related to the scientific literature based on bibliographic data (J. Li, Goerlandt, and Reniers 2021), especially bibliometric networks (Van Eck and Waltman 2010).
Journal of Computer Information Systems: Intellectual and Conceptual Structure
Published in Journal of Computer Information Systems, 2023
Anuj Sharma, Alex Koohang, Nripendra P. Rana, Salma S. Abed, Yogesh K Dwivedi
The scientometric analysis is a scientific knowledge mapping technique that provides a retrospective quantitative overview of the association among research keywords, most prominent studies, and researchers.6,11 Hence, the co-occurrence network structure analysis based on the most frequent keywords provides a conceptual overview of the published research.28 Moreover, the network structure based upon the co-citation of research articles and collaboration among researchers highlights the intellectual overview of the published research.29 This study has used a combination of two scientometric platforms: VOSviewer30 and R programming environment with Bibliometrix package.31
Research trends in ergonomics, industrial safety and health: semantic network and topic analyses
Published in International Journal of Occupational Safety and Ergonomics, 2023
Kyung-Sun Lee, Jinwon Lee, Jaejin Hwang
Scientometrics is the study of the quantitative aspects of the process of science as a communication system. We apply scientometrics to the fields of ergonomics and industrial safety and health to investigate the research effort history and topics. Among scientometrics, not only statistical techniques such as keyword frequency but also machine learning techniques such as semantic networks and topic modeling were used to explore research trends and topics.