• Journal of Information Science Theory and Practice
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• 제5권2호
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• pp.48-61
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• 2017

This paper uses 601 cited papers of Pakistani LIS researchers with the purpose to examine the individual performance of these Library and Information Science (LIS) researchers in terms of their research output and its impact on the LIS (national/international) literature by using various bibliometric indicators. A list of 139 authors was compiled with the help of the Library, Information Science, and Technology Abstracts (LISTA) and some other sources. Data were collected from Google Scholar and SPSS version 20 was utilized in order to identify the relationship between self-citations and various performance indices of the authors. The average citations received per paper vary from 1.80 to 10.08. About half of the papers were single-authored whereas less than one-fifth were by three or more authors. The authors who worked in collaboration produced more papers and received more citations. The h-index, g-index, hI-index, hI-norm, and e-index were used to determine the rank for each author. The intra-group citations grid revealed the volume of self-citations and a small group who cite each other more due to close academic and social relationships. The correlations between self-citations and the impact indices used revealed significant differences. Findings are useful for concerned institutions regarding award, promotions, etc. Further, future research should seriously consider the self-citations and social networking of authors while examining their citations-based research performance.

• International Journal of Contents
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• 제11권2호
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• pp.63-68
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• 2015

A citation analysis utilizes the relations among citations and is the most popular bibliometric method. This analysis is based on 1) the evaluation by paper, journal and researcher of the research output, 2) the identification of emerging research topics, 3) the production of a map of the intellectual structure of the research domain and 4) various services for academic information. However, this approach has a limitation in that a citation is treated in a very simple manner, even though the purpose of citation can vary greatly. To address this problem, new approaches have been studied that take into account the citation context. This research separates the citations according to the citation functions and tries to conduct an analysis according to the newly classified citations. Furthermore, research on the citation summarization and visualization based on both the citation context and the citation function of the citations was also attempted. However, since there are very few studies related to citation context in South Korea, more research and development is needed in this area. This study analyzes the status of the research in terms of the citation context. For this, we utilized social network analysis methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4467-4488
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• 2014

The bibliometric analysis is widely used for understanding research domains, trends, and knowledge structures in a particular field. The analysis has majorly been used in the field of information science, and it is currently applied to other academic fields. This paper describes the analysis of academic literatures for classifying research domains and for suggesting empty research areas in the telecommunications policy. The application software is developed for retrieving Thomson Reuters' Web of Knowledge (WoK) data via web services. It also used for conducting text mining analysis from contents and citations of publications. We used three text mining techniques: the Keyword Extraction Algorithm (KEA) analysis, the co-occurrence analysis, and the citation analysis. Also, R software is used for visualizing the term frequencies and the co-occurrence network among publications. We found that policies related to social communication services, the distribution of telecommunications infrastructures, and more practical and data-driven analysis researches are conducted in a recent decade. The citation analysis results presented that the publications are generally received citations, but most of them did not receive high citations in the telecommunications policy. However, although recent publications did not receive high citations, the productivity of papers in terms of citations was increased in recent ten years compared to the researches before 2004. Also, the distribution methods of infrastructures, and the inequity and gap appeared as topics in important references. We proposed the necessity of new research domains since the analysis results implies that the decrease of political approaches for technical problems is an issue in past researches. Also, insufficient researches on policies for new technologies exist in the field of telecommunications. This research is significant in regard to the first bibliometric analysis with abstracts and citation data in telecommunications as well as the development of software which has functions of web services and text mining techniques. Further research will be conducted with Big Data techniques and more text mining techniques.

• 문화기술의 융합
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• 제8권2호
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• pp.251-257
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• 2022

본 연구에서는 외국인 학부 유학생이 보고서를 쓰는 과정에서 자신의 의견, 주장의 논리를 강화하기 위해 선정한 자료를 인용하는 경우, 어떤 수사학적 유형을 많이 사용하고 있는지, 한국어 능력이 상위인 그룹과 하위인 그룹의 수사학적 기능 선택 양상은 어떻게 다른지를 살펴보기 위해 유학생의 보고서 30편을 분석해 보았다. 외국인 유학생들은 자신의 보고서에서 자신의 논의를 설득력 있게 전개하고 보완하기 위해 '통계" 인용을 가장 많이 사용하였으며, 다음으로는 귀속, 사례제시, 용어 사용 순이었다. 또한, 한국어 능력이 상위에 속하는 그룹은 자신의 보고서에서 보통 8-11회 정도의 인용을 사용하였으며 귀속, 사례제시, 용어 사용, 통계, 자료간의 관계 구축, 자신의 주장과 다른 자료를 비교하는 등 다양한 수사학적 유형을 사용한 반면, 하위에 속하는 그룹은 다양한 인용의 유형을 거의 사용하지 못하고 있었다. 따라서 "인용"이 자신의 논리를 강화할 수 있는 하나의 중요한 전략이라는 인식을 갖게 하고 다양한 인용의 유형을 유용한 보고서 쓰기 전략으로서 교육해야 하며 교수방안을 마련해야 할 것이다.

• International Journal of Knowledge Content Development & Technology
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• 제12권2호
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• pp.41-56
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• 2022

This research paper presents the use of different forms of literature by the PhD researchers of the Department of Political Science and the Department of Public Administration, Punjabi University, Patiala. It is assessed by analyzing the resources cited in the PhD theses awarded by Punjabi University, Patiala during 2015-2019. The different bibliographic forms of the references have been analyzed in order to find out the year-wise submission, average citations per thesis, authorship pattern, chronology, use of electronic resources, and format of citations in both the subjects under study. It has been found in this study that average citations per thesis in Political Science is more (200.53) than Public Administration (160.6). Books are most preferred form in both the subjects. Majority of the citations in both the subjects are from the period 2000-2009. Ranked list of journals for both the subjects have been prepared to identify core journals. The core journals in both the subjects are 9. Bradford Multipliers have been calculated and application of Bradford Law of Scattering has also been tested for both the subjects. It is expected that the present study will help librarians in selecting, retaining and cancelling the existing journals in Political Science and Public Administration.

• 기술혁신학회지
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• 제21권3호
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• pp.1127-1154
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• 2018

본 연구는 특허의 질적 특성을 관측 가능한 특허의 인용지표로 설명함으로써 특허가치 추정모형에 기여하는 것을 목표로 한다. 본 연구는 기업, 대학, 연구소가 한국특허청에 출원한 특허를 대상으로 전후방 인용자료를 구축하였다. 특허의 원천측면을 반영하는 후방인용 지표들이 후속특허에 의한 활용측면을 반영하는 전방인용 특성들을 잘 설명하는 것으로 나타났다. 전방인방 지표와 후방인용 지표 간에 존재하는 함수관계는 특허가치에 대한 추정, 예측모형을 더 정교화하는데 기여할 것이다. 후방인용 지표들은 특허 자체가 갖는 기술범위를 잘 설명하는 것으로 나타났다. 기술협력의 일방에게 기술협력의 상대방이 누구인지도 중요하였다.

• 산경연구논집
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• 제13권6호
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• pp.1-7
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• 2022

Purpose: This study aims to investigate an overview of the reputation of e-commerce from 2001-2021. Research design, data and methodology: This study uses a bibliometrics technique involving published results from the Scopus database. Keyword tracking uses the terms e-commerce + reputation. The data collected meets the criteria for the type of journal publication. Data was collected using the Publish or Perish (PoP) program and exported into VOSviewer. Bibliometrics examines certain fields of science based on several components such as author and co-author, citation and co-citation, keywords related to theme mapping, origin, and source of publication. Data was collected using the Publish or Perish (PoP) program and exported into VOSviewer. Results: The results show the total citations from 118 papers are 1429, with citations per paper of 12.11 and citations per year of 68.05. The trend of publications from 2001-2021 shows the dynamics of increasing or decreasing, but this trend is still developing. Conclusions: This paper also presents articles that have contributed greatly to the study of e-commerce reputation, the most productive authors, and clustered themes regarding e-commerce reputation. Reputation is an important area of e-commerce research. Reputation is also essential factors for e-commerce in facing business competition and needs to be a consideration for digital business practitioners.

• 한국문헌정보학회지
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• 제24권
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• pp.205-219
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• 1993

The purpose of this study is to analyse theses and dissertations cited in research literature, particularly subjects, age, origin, and frequency of use of them, and kinds of papers that cite them. The theses and dissertations cited in the journal articles and theses dissertations in the fields of library science, information science and bibliography are analysed in this study. The maj or conclusions made in this study are summarised as follows. (1) Theses and dissertations form $5.6\%$ of the total citations. (2) $87.1\%$ of the cited theses and dissertations are found in theses and dissertations and $12.9\%$ in journal articles. (3) Most of research papers cite less than six theses and dissertations. The average number of theses and dissertations cited in a research paper in 2.7. (4) Most of the cited theses and dissertations are found in research papers from their own field and $24.5\%$ in those from other fields. (5) Researchers prefer to cite recently produced theses and dissertations $63.5\%$ of the total citations are those produced within three years in the past. (6) The theses and dissertations form most part$(89.0\%)$ of the total citations. 88.9% of the cited foreign theses and dissertations are found in theses and dissertations, and $11.1\%$ in journal articles.

• International Journal of Knowledge Content Development & Technology
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• 제10권2호
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• pp.51-69
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• 2020

This paper describes global research in the field of augmented reality (22078) as indexed in Scopus database during 1992-2019, using a series of bibliometric indicators. The augmented reality (AR) research registered high 54.23% growth, averaged citation impact of 8.90 citations per paper. Nearly 1% of global output in the subject (226 papers) registered high-end citations (100+) per paper. The top 15 countries accounted for 87.05% of global publications output in the subject. The USA is in leadership position for its highest publications productivity (19.25% global share). The U.K. leads the world on relative citation index (2.05). International collaboration has been a major driver of AR research pursuits; between 11.89% and 44.04% of national share of top 15 countries in AR research appeared as international collaborative publications. AR research productivity by application types was the largest across sectors, such as education, industry and medical. Computer science has emerged as the most popular areas in AR research pursuits. Technical University of Munich, Germany and Osaka University, Japan have been the most productive organizations and Nara Institute of S&T, Japan (66.55 and 7.48) and Imperial College, London, U.K. (57.14 and 6.42) have been the most impactful organizations. M. Billinghurst and N. Navab have been the most productive authors and S. Feiner and B. MacIntyre have been the most impactful authors. IEEE Transactions on Visualization & Computer Graphics, Multimedia Tools & Applications and Virtual Reality topped the list of most productive journals.

• KSLA Bulletin
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• 통권2호
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• pp.16-27
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• 2010

최근 논문의 가치평가가 크게 강조되고 있으며, 그 평가의 수단으로 논문의 피인용횟수가 매우 유용한 척도 중의 하나로 받아들여지고 있다. 그에 따라 이 연구에서는 논문의 피인용횟수와 이에 영향을 미칠만한 형태적 및 개념적 요인의 11개 변수들 간의 상관관계를 문헌정보학분야 11종의 학술지 논문을 대상으로 분석하였다. 분석결과, 논문의 피인용횟수와 일정 수준 이상의 상관관계 즉 5% 이상의 설명력을 갖는 변수는 문헌간유사도 뿐인 것으로 나타났으며, 문헌간유사도가 높아질수록 논문 상호 간에 피인용횟수에 대한 상관관계도 증가하는 것으로 나타났다.