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Applying science mapping in built environment research
Published in Emmanuel Manu, Julius Akotia, Secondary Research Methods in the Built Environment, 2021
Amos Darko, Albert Ping-Chuen Chan
An SM analysis begins with retrieval of relevant bibliographic data. Today, there are many online bibliographic databases in which scientific documents together with their citations are stored. These bibliographic data sources make it possible to search and retrieve information concerning most scientific fields (Cobo et al., 2011b). Nonetheless, choosing an appropriate source for data retrieval, which contains data that could offer answers to the questions to be explored, is important (Börner et al., 2003). Chen (2017) and Cobo et al. (2011b) noted that the most commonly used bibliographic databases include Web of Science (WoS), Scopus, Google Scholar, and PubMed. The results of an analysis of 20 selected SM applications in BE reinforced this observation where WoS and Scopus have dominated current SM-based research programmes in BE, as shown in Table 9.1, with the main reasons being: WoS is the most authoritative database for studying literature in many fields because it contains the most prestigious and important journals of influence in the world.Scopus has a wider scientific publications coverage and more recent publications than other databases, such as WoS.
A bibliometric analysis of cultural and creative industries in the field of arts and humanities
Published in Digital Creativity, 2021
Son Bui Hoai, Binh Hoang Thi, Phuong Nguyen Lan, Trung Tran
After defining the research topic and the research questions, the first step to perform a bibliometric research is to select the most suitable search engine for the study. WoS, Scopus, Google Scholar, Microsoft Academic and Dimensions are the five main and most popular bibliographic databases, but WoS and Scopus have been used the most for bibliometric analysis in different scientific fields (Moral-Muñoz et al. 2020). In this study, the Scopus database was chosen as the main search engine because similar analyses have been done using the WoS database (Chen and Chen 2014; Chuluunbaatar, Luh, and Kung 2013; Lazzeretti, Capone, and Innocenti 2018). However, it is worth mentioning that the Scopus database provides wider coverage with more detailed indexing compared to the WoS database (Eito-Brun 2018).
Mapping the Cybersecurity Research: A Scientometric Analysis of Indian Publications
Published in Journal of Computer Information Systems, 2023
B. Elango, S. Matilda, M. Martina Jose Mary, M. Arul Pugazhendhi
Web of Science and Scopus are the two most comprehensive bibliographic databases.18 Scopus has been chosen for this study because it has more journals and articles than Web of Science and more than 99% of Web of Science-indexed journals are also indexed in Scopus.19,20 The following keywords2 were searched in the combined fields of title-abstract-keywords to identify the publications: “Cybersecurity” OR “Cyber Security” OR “Cyber-Security” OR “Cyber incident management” OR “Cybersafety” OR “Cyber crisis management” OR “Cyber defense” OR “Cyber threat management” OR “Cyber Safety.” The terms computer security and information security, in their broadest senses, have not been used. Despite the fact that they are interrelated, there are differences between them. For example, information security refers to the protection of any type of information, whereas computer security refers to the protection of a standalone computing machine. On the other hand, cybersecurity refers to the prevention of information in cyberspace, which is an individual as well as global notion.2 The database was accessed on June 02, 2021 and the year 2021 has been excluded, due to incomplete dataset. The search returns a total of 19,675 global publications, out of which, 989 publications were contributed by Indian authors. The citation counts have been considered for the publications from the time of publication to June 02, 2021. The retrieved publications have been downloaded and analyzed with MS-Excel, Bibliometrix R Package,21 (Aria & Cuccurullo 2017), VOSViewer22 and UCINET23 (Borgatti et al. 2002). Figure 1 depicts the methodological approach that was used.
End-User Development Landscape: A Tour into Tailoring Software Research
Published in International Journal of Human–Computer Interaction, 2023
Claiton Marques Correa, Milene Selbach Silveira
The following points summarize the main threats to the validity of our work and the strategies we followed to try overcome them: Initial set of papers definition: Before starting the snowballing process, we were required to define the initial set of papers. Two rounds of discussion were conducted until we agreed on what papers should compound this group. To minimize the biases in selecting these papers, we decided to consult the references of a recent and broader secondary study in the area conducted by Barricelli et al. (2019). Then, after applying the rules defined by Wohlin (2014) over these studies, we defined our initial set. Two researchers conducted this selection and the backward and forward rounds for including or excluding a paper. We did not encounter significant disagreements during the process as a whole.Bibliographic database: There are several available databases for retrieving bibliometric data, such as Google Scholar, CiteSeerX, Web of Science, and Scopus. Each database covers a specific domain or type of publication (Vieira & Gomes, 2009). We searched these databases to determine where we would retrieve the data for our study. We decided to use Scopus because it covered the majority of our sample. From the 42 papers, we had to include five papers’ information manually in the database. Although the bibliographic databases are reliable, we have done extra work to clean the data before starting our analysis. We standardized the authors’ name and their affiliations field. We checked the references list of each paper as well. As it was a mostly manual process, some inconsistencies may have remained. We tried to minimize this by checking individually each row of our dataset containing the papers’ information.Results: The results represent our interpretation from the information obtained from the bibliometric analysis. To mitigate the interpretation bias, we held meetings among the authors to discuss the analysis produced.