• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.90-97
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• 2021

The study aimed to analyze the reality of the scientific publishing of the faculty members of the Northern Border University, in both the Web of Science database and the SCOPUS database, with the analysis of publishing indicators and trends for the period between 2008-2020, and the researcher's keenness to apply the bibliometric study research methodology to obtain an account Full and detailed publications indicators under the two databases, including a full analysis of scientific publishing through objective, temporal, quantitative, authors, languages, open access journals, information forms, the most productive authors, the most published scientific journals, the most scientific bodies involved with the university. The study found results, the most important of which is the existence of a high increase in scientific publishing, starting from 2015, with an increase in publishing in the scientific field compared to other disciplines, and that the vast majority of publishing is in the form of articles, as well as publishing in English for the rest of the languages.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.82-91
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• 2023

Receiving 100 citations from indexed journals is not a common occurrence, although it does happen very rarely, and it is even more uncommon for a non-indexed article. Given this, the purpose of this present study is to perform a bibliometric analysis of 100 cited Scopus articles to a non-Scopus indexed article, using a case study of the article titled "Authorship trends and collaboration pattern in the marine sciences literature: A scientometric study" which was published by Elango and Rajendran in the International Journal of Information Dissemination and Technology in 2012. On October 15, 2022, the Scopus database was searched with the article title in the references field, and the resulting bibliographic data was exported as a comma-separated values file. The tools utilized for this analysis were ScientoPy, the Bibliometrix R Package, and VOSviewer. Based on the findings, most of the cited articles were published within the last three years, and international researchers have given more recognition compared to Indian researchers. The most popular topics were found to be bibliometrics, bibliometric analysis, and bibliometrix. The fact that all 100 cited articles were published across various subject disciplines used by Scopus to categorise sources demonstrates how well-established the citing article is within the scientific community.

• Asian Journal of Innovation and Policy
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• v.12 no.3
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• pp.304-322
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• 2023

Text data mining ('big data methods') is one of the most widely used approaches during the COVID-19 pandemic. In particular, text data mining on Scopus databases or Web of Science (WoS). Text data mining is widely used to collect literature for later bibliometric analysis, and in the end, it becomes a literature review article. Therefore, in this article, we reveal the trend of publication of literature reviews in Scopus journals from Indonesia, Japan, South Korea, Vietnam, Singapore, and Malaysia. This article describes two essential parts, namely 1) a comparison of international publication trends and subject area of literature review publications, and 2) a comparison of Top 5 for Authors, Affiliation, Source Title, and Collaboration Country.

• Journal of Preventive Medicine and Public Health
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• v.49 no.2
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• pp.129-133
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• 2016

Objectives: The systematic review (SR) is a research methodology that aims to synthesize related evidence. Updating previously conducted SRs is necessary when new evidence has been produced, but no consensus has yet emerged on the appropriate update methodology. The authors have developed a new SR update method called 'adaptive meta-analysis' (AMA) using the 'cited by', 'similar articles', and 'related articles' citation discovery tools in the PubMed and Scopus databases. This study evaluates the usefulness of these citation discovery tools for updating SRs. Methods: Lists were constructed by applying the citation discovery tools in the two databases to the articles analyzed by a published SR. The degree of overlap between the lists and distribution of excluded results were evaluated. Results: The articles ultimately selected for the SR update meta-analysis were found in the lists obtained from the 'cited by' and 'similar' tools in PubMed. Most of the selected articles appeared in both the 'cited by' lists in Scopus and PubMed. The Scopus 'related' tool did not identify the appropriate articles. Conclusions: The AMA, which involves using both citation discovery tools in PubMed, and optionally, the 'related' tool in Scopus, was found to be useful for updating an SR.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.120-126
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• 2020

With the start of the digital transformation era, many changes have been made to the corporate environment. Companies are now in a competitive environment that is different from the past. There are so many technological innovations that cannot be imagined centering around the technology related to digital transformation. Unlike the past, research on technological innovation is also proceeding much. Therefore, in this research, we searched for papers on the theme of technological innovation from 2015 to 2019, focusing on the SCOPUS database. We collected 1043 papers that provide green among the papers and analyzed them using text mining technology and LDA method. As a result of the analysis, it was clarified that research on technological innovation is continuously increasing, and it was found that research for technological innovation in various fields is being conducted. In addition to the theme of technological innovation, various keywords related to technological innovation were also derived.

• Journal of Digital Convergence
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• v.21 no.2
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• pp.9-16
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• 2023

The purpose of this study is to analyze research trends on ESG (Environmental, Social, and Governance), and to present a direction for companies and investors to use ESG information. To this end, text mining, one of the atypical data mining techniques, was used for analysis. Thesis abstracts from January 2014 to February 2023 were collected from the SCOPUS database, and Economics, Econometrics and Finance were the most common. The United States and China published the most ESG papers, and Korea published the 6th most papers in the world. This study is meaningful in that it analyzed the main research trends of ESG using text mining techniques such as LDA and topic modeling. It was confirmed that ESG is being conducted in various fields, not in a specific field, and it is differentiated from previous studies in that it analyzed various influencing factors and ripple effects of ESG.

• Journal of Information Management
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• v.39 no.3
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• pp.95-113
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• 2008

In todays environment in which scientific technologies are changing very fast than ever, companies have to monitor and search emerging technologies to gain competitiveness. Actually many nations try to do that. Most of them use Dephi approach based on experts review as a searching method. But experts review has been criticised for probability of inclination and its derivative problems in the sense that it is accomplished only by expert's subjectivity. To overcome such problems, we used Scientometric Method for identifying emerging technology that had been done by Delphi as a rule. We made three particular efforts in order to improve the Quality of the result. Firstly, we selected one alternative database between SCI and Scopus hoping to see evenly-distributing results in wide fields on the front burner. Secondly we used Fractional citation counting in counting citation number in the stage of linear regression analysis. Lastly, we verified Scientometric result with experts opinions to minimize probable errors in a Scientometric research. As a result, we derived 290 emerging technologies from Scientometric analysis with Scopus Database, and visualized them on 2-dimension map with data mining system named KnowledgeMatrix which was developed by KISTI.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.169-178
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• 2017

In various research fields, it is important to identify the trends and meaningful patterns in large volumes of text data. We examined the research trends and patterns in global journal articles related to aviation and airlines from 1997 to 2016 using keyword network analysis. Keyword network models were constructed, and centrality (degree and betweenness) analysis was performed using 25,959 articles from the Scopus database. The results suggested that the recent research trends in aviation and airlines could be quantitatively described through keyword network analysis. The engineering and social science fields were the most relevant fields with keywords related to aviation and airlines. In addition, it was shown that betweenness centrality increased with the degree centrality of keywords. The results of this study could be applied to establish policies and suggest further research topics in the field of aviation and airlines based on empirical data.

• Journal of Information Management
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• v.36 no.3
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• pp.127-165
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• 2005

This study is focused on the quality of the Web databases which has been produced in science. For the quality evaluation of NDSL, PubMed, Scopus, and WoS, 10 evaluating criteria are developed on the basis of literature review. The evaluation results show that NDSL and PubMed are superior in the currentness and cost. Scopus and WoS are superior in the information of citing and the analysis tool. It is needed for purchasing, user training, and library service based on the above evaluation results.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.11-17
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• 2022

The development of digital technology is changing many things in our daily lives and the marketing environment of companies. Therefore, in this research, we grasp the recent overseas research trends of digital marketing. For that purpose, I would like to utilize SCOPUS, a foreign academic database, to grasp the research trends of digital marketing. As a result of the analysis, it was found that the number of digital marketing papers has been increasing continuously since 2013. In addition, as a result of topic modeling analysis, it was found that the 2nd and 4th topics were similar among the 6 topics in total, and the main topics were digital, marketing, research and so on. The results of this research are significant in that they provided information on digital marketing research trends to researchers and business practitioners. In addition, the results of this study provide practical suggestions for corporate marketers to recognize and leverage the importance of digital marketing.