• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.4
• /
• pp.221-238
• /
• 2020

This study aims to investigate the scholarly communications and citation influences in library and information science field by conducting journal citation network analysis. For data collection, four major journals in library and information science field were chosen and 4,471 of research papers and 18,424 of citation records were collected from Korean Citation Index. The results show that Journal of the Korean Society for Library and Information Science was the most influential journal with highest citation in LIS fields, while Journal of the Korean Society for Library and Information Science Management influenced other research fields.

• Journal of Information Science Theory and Practice
• /
• v.1 no.2
• /
• pp.58-68
• /
• 2013

Citing literature is a very important activity for scholars in writing articles. Many publishers and libraries build citation databases and provide citation reports on scholarly journals. Cited-by linking is a service representing what an article cites and how many times it cites a specific article within a journal database. Recently, information services based on DOIs (Digital Object Identifiers) have been increasing in number. CrossRef, a non-profit organization for the DOI registration agency, maintains the DOI system and provides the cited-by linking service. Recently, the number of Korean journals adopting DOI is also rapidly increasing. The Korea Institute of Science and Technology Information (KISTI) supports Korean learned societies in DOI related activities in collaboration with CrossRef. This study analyzes cited patterns of Korean DOI journal articles using CrossRef's cited-by linking data and a Korean journal citation database. This analysis has been performed in terms of publication country and the language of journals citing Korean journal articles. The results show that DOI, SCI(E) (Science Citation Index (Expanded)), and English journals are more likely to be cited internationally.

• ETRI Journal
• /
• v.28 no.4
• /
• pp.541-544
• /
• 2006

From its foundation until 2004, ETRI has registered over 1,000 US patents. This letter analyzes the characteristics of these patents and addresses the explanatory factors affecting their citation counts. For explanatory variables, research team related variables, invention specific variables, and geographical domain related variables are suggested. Zero-altered count data models are used to test the impact of independent variables. A key finding is that technological cumulativeness, the scale of invention, outputs in the electronic field, and the degree of dependence on the US technology domain positively affect the citation counts of ETRI-invented US patents. The magnitude of international presence appears to negatively affect the citation counts of ETRI-invented US patents.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2018.07a
• /
• pp.376-378
• /
• 2018

한국의 과학기술정보 유통 및 분석 전문기관인 한국과학기술정보연구원(KISTI)은 동북아시아 국가들간의 정보 협력과 국제 협력을 위하여 오랜기간 일본과 중국의 정보 유통 전문기관들인 JST와 ISTIC과 함께 CJK(Chinese, Japanese, Korean) 국제회의와 연구협력을 지속해오고 있다. 본 논문에서는 이들 국가간 인용정보를 매개로 하는 새로운 학술정보의 개발을 위한 기초 연구를 수행하여, KSCD 참고문헌에 출현하는 일본 및 중국의 고인용 학술지와 양국간 주제분야별 인용특성을 살펴보고 응용 서비스 사례를 제시하였다.

• The Korean Journal of Applied Statistics
• /
• v.29 no.4
• /
• pp.613-625
• /
• 2016

The development of technology has changed the world drastically. Patent data analysis helps to understand modern technology trends and predict prospective future technology. In this paper, we analyze the patent citation network using the USPTO data between 1985 and 2012 to identify technology trends. We use network centrality measures that include a PageRank algorithm to find core technologies and identify groups of technology with similar properties with statistical network models.

• Journal of the Korean Society for information Management
• /
• v.10 no.1
• /
• pp.65-96
• /
• 1993

This research fulfills two objectives of the study relating to the analysis of changing intellectual structure and its development of Korean history during 1980s: 1) investigation of intellectural structures of two successive time periods using author co-citation study analysis: 2) validation of the results of author co-citation analysis using assessments of experts collected from scholarly reviews and direct data drawn from the researchers in the area of Korean history. Three approaches to multivariate analysis as multi-dimensional scaling, cluster analysis, and factor analysis are used to display the inter-author relationships in the author similarity matrix.

• Journal of Information Science Theory and Practice
• /
• v.11 no.4
• /
• pp.40-50
• /
• 2023

Research in interdisciplinary fields like biomechanics is published in a variety of journals whose visibility depends on bibliometric indexing that is often driven by citation analysis of bibliometric databases. This study documented variation in publication metrics and research subject categories assigned to 14 biomechanics journals. Authors, citation, and citation rate (CR) were collected for the top 15 cited articles in the journals retrieved from the Google Scholar service. Research subject categories were also extracted for journals from three databases (Dimensions, Journal Citation Reports, and Scopus). Despite the focus on biomechanics for the journals studied, these biomechanics journals have widely varying CR and subject categories assigned to them. There were significant (p=0.001) and meaningful (77-108%) differences in median CR between average, low, and high CR groups of these biomechanics journals. Since CR are primary data used to calculate most journal metrics and there is no one biomechanics subject category, field normalization for journal citation metrics in biomechanics is difficult. Care must be taken to accurately interpret most citation metrics of biomechanics journals as biased proxies of general usage of research, given a specific database, time frame, and area of biomechanics research.

• Journal of the Korean Society for Library and Information Science
• /
• v.49 no.4
• /
• pp.241-264
• /
• 2015

Bibliometric analysis for research performance evaluation can generate erroneous assessments for various reasons. Application of the same evaluation metric to different domains, for instance, can produce unfair evaluation results, while analysis based on incomplete data can lead to incorrect conclusions. This study examines bibliometric data of library and information science (LIS) research in Korea to investigate whether research performance should be evaluated in a uniform manner in multi-disciplinary fields such as LIS and how data incompleteness can affect the bibliometric assessment outcomes. The initial analysis of our study data, which consisted of 4,350 citations to 1,986 domestic papers published between 2001 and 2010 by 163 LIS faculty members in Korea, showed an anomalous citation pattern caused by data incompleteness, which was addressed via data projection based on past citation trends. The subsequent analysis of augmented study data revealed ample evidence of bibliometric pattern differences across subject areas. In addition to highlighting the need for a subject-specific assessment of research performance, the study demonstrated the importance of rigorous analysis and careful interpretation of bibliometric data by identifying and compensating for deficiencies in the data source, examining per capita as well as overall statistics, and considering various facets of research in order to interpret what the numbers reflect rather than merely taking them at face value as quantitative measures of research performance.

• Journal of the Korean Society for information Management
• /
• v.38 no.4
• /
• pp.65-82
• /
• 2021

The purpose of this research is to explore the phenomenon of the sharing, reuse, and citation of research software. These practices are playing an increasingly important role in scholarly communication. The researchers found that the citation and reuse of research software are currently uncommon or at least not reflected in the Data Citation Index (DCI). Such citation was observed, however, for the newer software in a number of prominent repositories. The repositories Comprehensive R Archive Network (CRAN) and Zenodo received the most formal software citations. The researchers observed both formal and informal forms of citation when researchers reused software. The latter form involves mentioning research software in passing in the main text of articles, while formal citations appear in the references section. In addition, our comparative analysis helps to explain the phenomenon of self-citation of research software.

• Proceedings of the Korea Contents Association Conference
• /
• 2010.05a
• /
• pp.536-538
• /
• 2010

It is important for scientific and technological papers to build citation DB and to offer service. The best example of citation DB is SCI that has been utilized in the world. The majority of Korean journals is not SCI journal, so it is impossible for the domestic journals to conduct quantitative analysis and performance evaluation. Korea Science Citation Index Service is the alternative service to get rid of the above problem. In the study, we carried out the user satisfaction survey for new vision of service from existing KSCI, correcting the result data. We evaluated the data and then derived the level of current system and the future improvement direction.