• Title/Summary/Keyword: Citation Field

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Analysis on the Trend of The Journal of Information Systems Using TLS Mining (TLS 마이닝을 이용한 '정보시스템연구' 동향 분석)

  • Yun, Ji Hye;Oh, Chang Gyu;Lee, Jong Hwa
    • The Journal of Information Systems
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    • v.31 no.1
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    • pp.289-304
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    • 2022
  • Purpose The development of the network and mobile industries has induced companies to invest in information systems, leading a new industrial revolution. The Journal of Information Systems, which developed the information system field into a theoretical and practical study in the 1990s, retains a 30-year history of information systems. This study aims to identify academic values and research trends of JIS by analyzing the trends. Design/methodology/approach This study aims to analyze the trend of JIS by compounding various methods, named as TLS mining analysis. TLS mining analysis consists of a series of analysis including Term Frequency-Inverse Document Frequency (TF-IDF) weight model, Latent Dirichlet Allocation (LDA) topic modeling, and a text mining with Semantic Network Analysis. Firstly, keywords are extracted from the research data using the TF-IDF weight model, and after that, topic modeling is performed using the Latent Dirichlet Allocation (LDA) algorithm to identify issue keywords. Findings The current study used the summery service of the published research paper provided by Korea Citation Index to analyze JIS. 714 papers that were published from 2002 to 2012 were divided into two periods: 2002-2011 and 2012-2021. In the first period (2002-2011), the research trend in the information system field had focused on E-business strategies as most of the companies adopted online business models. In the second period (2012-2021), data-based information technology and new industrial revolution technologies such as artificial intelligence, SNS, and mobile had been the main research issues in the information system field. In addition, keywords for improving the JIS citation index were presented.

The Analysis Methods Based on Patent Citation Networks for the Convergence Technologies Development Planning : A Case of Smart Factory's ICT Technologies (융합기술 개발전략 기획을 위한 특허 인용 네트워크 기반의 분석 방법론 : 스마트공장 ICT 기술을 중심으로)

  • Lee, Hyun-Min;Kim, Sun-Jae;Kim, Hong-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.34-47
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    • 2018
  • As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

A Comparative Bibliometric Analysis of Substance Use Disorder Research in Social Science, Natural Science and Technology, and Multidisciplinary Field (사회과학, 자연과학기술 및 융복합 분야의 약물중독 연구에 대한 계량서지학적 비교 분석 연구)

  • Nam, Dongin;Park, Ji-Hong
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.203-232
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    • 2022
  • Drug addiction or substance use disorder is continuously observed worldwide for its risks and prevalence. In this context, numerous studies have been conducted regarding this issue. However, bibliometric analysis related to drug addiction is insufficient. In particular, it is difficult to find research that utilizes a macro-level bibliographic approach that comprehensively reflects various characteristics related to drug addiction. In this study, to reflect the multidimensional features of drug addiction, research trends in drug addiction in social science, natural science, and multidisciplinary studies were compared and analyzed. This study collected drug addiction research articles from 2002 to 2021 by searching from the Web of Science, and classified academic disciplines based on SCI(E) and SSCI information. Author keyword co-occurrence analysis was also conducted, which provided confirmation that natural science mainly studied psychoactive substances and the reward system in the brain, while drug addiction studies reflecting demographic characteristics were conducted in the domain of social science. In the multidisciplinary field, all of the above topics were covered. Author co-citation analysis was also employed, which showed that there are superstars (i.e., authors who receive a rigorous amount of citation) in the field of natural science, while in the social science domain, authors were highly cited not only at the individual level but also at the institutional level.

Subject Association Analysis of Big Data Studies: Using Co-citation Networks (빅데이터 연구 논문의 주제 분야 연관관계 분석: 동시 인용 관계를 적용하여)

  • Kwak, Chul-Wan
    • Journal of the Korean Society for information Management
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    • v.35 no.1
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    • pp.13-32
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    • 2018
  • The purpose of this study is to analyze the association among the subject areas of big data research papers. The subject group of the units of analysis was extracted by applying co-citation networks, and the rules of association were analyzed using Apriori algorithm of R program, and visualized using the arulesViz package of R program. As a result of the study, 22 subject areas were extracted and these subjects were divided into three clusters. As a result of analyzing the association type of the subject, it was classified into 'professional type', 'general type', 'expanded type' depending on the complexity of association. The professional type included library and information science and journalism. The general type included politics & diplomacy, trade, and tourism. The expanded types included other humanities, general social sciences, and general tourism. This association networks show a tendency to cite other subject areas that are relevant when citing a subject field, and the library should consider services that use the association for academic information services.

A Comparative Study on Usability of Grey Literature among Sciences, Using Citation Analysis (인용 분석을 통한 학문간 회색문헌의 활용도 비교 연구)

  • Cho, Hyun-Yang
    • Journal of the Korean Society for Library and Information Science
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    • v.42 no.1
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    • pp.273-294
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    • 2008
  • In this study, it was investigated if there were some differences on the preference of researchers to grey literature among seven different subjects in the field of science and technology using citation analysis. The result shows that there were some differences among researchers, depending on the subject area. It also appears that the preference of grey literature of researchers is dissimilar in journals in English and journals in Korean, regardless of the subject area. Finally, partial correlation coefficient among nine different types of material was counted with the control of languages used and subject areas included. Among nine types of cited documents, the value of partial correlation coefficient between proceedings and miscellaneous is larger than that of any other coupled comparison This means that researchers who cite articles from proceedings tend to include information from miscellaneous at the same time.

Research on the type of technology convergence in the medical device industry based on topic modeling and citation analysis (토픽모델링과 인용 분석에 기반한 의료기기 산업의 기술융합 유형 연구)

  • Lee, Seonjae;Lee, Sungjoo;Seol, Hyeonju
    • Journal of the Korea Convergence Society
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    • v.12 no.7
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    • pp.207-220
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    • 2021
  • Industrial convergence is manifested in various forms by various drivers, and understanding and categorizing the direction of convergence according to the factors in which the convergence occurs is an essential requirement for the establishment of a company's customized convergence strategy and the government's corporate support policy. In this study, the type of convergence is analyzed from the perspective of knowledge flow between heterogeneous technologies, and for this purpose, the result of topic modeling of the text information of the patent and the citation information of the corresponding patent allocated for each topic are used. The methodology presented through case studies in the medical device field is verified. Through the proposed methodology, companies can predict the flow of convergence and use it as decision-making data to create new business opportunities. It is expected that the government and research institutions will be usefully used as basic data for policy preparation.

Ten years of minimally invasive access cavities in Endodontics: a bibliometric analysis of the 25 most-cited studies

  • Emmanuel Joao Nogueira Leal Silva ;Karem Paula Pinto ;Natasha C. Ajuz ;Luciana Moura Sassone
    • Restorative Dentistry and Endodontics
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    • v.46 no.3
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    • pp.42.1-42.15
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    • 2021
  • Objectives: This study aimed to analyze the main features of the 25 most-cited articles in minimally invasive access cavities. Materials and Methods: An electronic search was conducted on the Clarivate Analytics' Web of Science 'All Databases' to identify the most-cited articles related to this topic. Citation counts were cross-matched with data from Elsevier's Scopus and Google Scholar. Information about authors, contributing institutions and countries, year and journal of publication, study design and topic, access cavity, and keywords were analyzed. Results: The top 25 most-cited articles received a total of 572 (Web of Science), 1,160 (Google Scholar) and 631 (Scopus) citations. It was observed a positive significant association between the number of citations and age of publication (r = 0.6907, p < 0.0001); however, there was no significant association regarding citation density and age of publication (r = -0.2631, p = 0.2038). The Journal of Endodontics made the highest contribution (n = 15, 60%). The United States had the largest number of publications (n = 7) followed by Brazil (n = 4), with the most contributions from the University of Tennessee and Grande Rio University (n = 3), respectively. The highest number of most-cited articles were ex vivo studies (n = 16), and 'fracture resistance' was the major topic studied (n = 10). Conclusions: This study revealed a growing interest for researchers in the field of minimally invasive access cavities. Future trends are focused on the expansion of collaborative networks and the conduction of laboratory studies on under-investigated parameters.

Analysis of Differences between Countries in the Proportion, Method and Citation-inducing Effect of Open Access (OA) Articles (Open Access (OA) 논문의 비중과 방식, 피인용 유도 효과에 대한 국가 간 차이 분석)

  • Jane Cho
    • Journal of the Korean Society for information Management
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    • v.40 no.4
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    • pp.73-94
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    • 2023
  • This study empirically analyzed the proportion and method of Open Access (OA) in Korea, China, Japan, the United States, United Kingdom based on the Web of Science (WoS) papers. In addition, through the verification of the moderating effect, it was verified whether there is a difference in the effect of the amount of citation depending on the maturity of OA according to the countries or academic fields. As a result of the analysis, the proportion of OA was the highest in the UK at 62.7%, and the lowest in China at 38.0%. Second, the UK and US had a high proportion of indicators through self-archiving and APC-based Gold Hybrid, while only the Gold indicators were found to be prominent in China and Korea. Third, in the UK, US and Japan, the higher the proportion of OA, the greater the effect of inducing the citations. However, Korea (B=-0.00003, p<0.01) and China (B=-0.00001, p<0.01) showed the opposite direction. In addition, in most academic fields, the OA proportion had an effect of inducing citation, but a negative effect was found in the engineering field (B=-0.00002, p<0.01).

Essential Factors and Suggestions for Making the JKMS an SCI Journal (JKMS 의 SCI 등재를 위한 필수요건 및 제언)

  • Park, Seon K.
    • Atmosphere
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    • v.16 no.4
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    • pp.387-393
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    • 2006
  • In this study, journal selection processes of the Science Citation Index (SCI) and the SCOPUS are investigated aiming at making the Journal of the Korean Meteorological Society (JKMS) an SCI journal. In addition, some characteristic features of the SCI journals in the field of atmospheric sciences published in Asian countries are examined. Some domestic journals in the related disciplines that are recently listed in the SCI and SCOPUS are also analyzed in terms of strategic approaches. Results of this study may provide fundamental strategic information in pursuing the JKMS to be listed in the SCI in the near future.

A Comparative Analysis on Usage Statistics and Citation Indices of Electronic Journals in the Field of Medicine (의학 분야 전자학술지의 이용통계와 인용지수 비교분석)

  • Kim, Jung-Ok
    • Proceedings of the Korean Society for Information Management Conference
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    • 2015.08a
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    • pp.77-82
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    • 2015
  • 본 연구는 의학 분야를 중심으로 A 대학교 의과대학 도서관의 Science Direct 전자학술지 이용통계와 Scopus 인용지수를 비교분석하였다. 이에 594종의 의학 분야 전자학술지를 추출하여, 그 이용통계와 Scopus 인용지수에 대해 빈도분석, 상관관계분석을 실시하였다. 그 결과 의학 분야 전자학술지의 이용이 소수의 학술지에 집중되어 있고, 그 이용통계와 인용지수 사이에 양의 상관관계가 성립함을 확인할 수 있었다.

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