• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.395-403
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• 2008

In this paper, we present the analysis of the fact that normalization and types of citation fields have an effect to the citation matching. Citation matching indicates the series of grouping process for the citation records referring to the same paper. The citation matching combines the comparison results of citation fields, and determines which citation records are the same. For the citation field comparison in the citation matching phase, studies on the normalization and types of citation fields are needed. But they are relatively insufficient when compared with the studies on citation matching methods. In this research, we showed that the citation matching performance was affected by the normalization and types of citation fields. Additionally, we also analyzed the combination of normalized multiple fields. According to the experimental result, the citation field had the overall performance improvement through a normalization, and the performance mode differently showed up at the citation field type.

• Journal of the Korean Society for Library and Information Science
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• v.30 no.2
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• pp.87-106
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• 1996

The purpose of this study is to identify what fields are used to decide how to proceed to the next screen and what factors affect the selection of the fields used on the online catalog system. The initial search option chosen by the users differed statistically according to the type of online catalog system used and the type of query. However, the type of user did not affect the choices of the initial search option. On the citation list screen, the title field was the most frequently used to move to the citation screen. On the citation screen, also, the title field was the most frequently used for confirming a retrieved citation.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.189-207
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• 2016

Sharing and reutilizing of research data could not only enhance efficiency and transparency of research process, but also create new science through data integrating and reinterpretationing. Diverse policies about research data sharing and reutilizing have been developing, along with extending of research evaluating spectrum that across research data citation rate to social impact of research output. This study analyzed the scale and citation number of research data which has not been analyzed before in korea through data citation index using Kruskal-Wallis H analysis. As result, genetics and biotechnology are identified as subject areas which have most huge number of research data, however the subject areas that have been highly cited are identified as economics and social study such as, demographic and employment. And Uk Data Archive, Inter-university Consortium for Political and Social Research are analyzed as data repositories which have most highly cited research data. And the data study which describes methodology of data survey, type and so on shows high citation rate than other data type. In the result of altmetrics of research data, data study of social science shows relatively high impact than other areas.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.59-80
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• 2023

Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.3
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• pp.175-198
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• 2010

The study investigated undergraduates' citation use and plagiarism awareness. A questionnaire method was used and was given to undergraduates in a university located in Seoul. Upon investigation, undergraduates recognized the importance and the need of citation and were partly applying citations. However, upon further investigation of undergraduates' citation learning with citation questions, very few of respondents had knowledge of correct citation usage. Undergraduates mostly cited print materials and information from the internet. They used books in case of print materials and web materials provided by academic institutions. They suggested that the university should teach citation usage through a citation and plagiarism awareness program. It is necessary for library use education (information literacy education) as well as university to teach citation education including citation type and how to write it.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.11-20
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• 2021

The analysis of citing and cited phrases provides an opportunity to enhance search-centric academic information services. However, most current studies focus only on citation analysis among academic associations, researchers, and articles, making it challenging to develop higher citation-based information services. This study proposes citation analysis service methods using citing and cited phrases. First, to verify the feasibility of suggested services, we have collected the most highly cited articles with specific domain terms and followed their citing relationship; after that, we found formal citation types and ratios in the original articles. And we conducted structural analysis, especially with three topics, "Deep Learning," "Green Energy," and "Aging," and then structurally illustrates the citation characteristics of related articles. Finally, we collected four most cited articles and all their citing ones for each subject from Google Scholar and analyzed the ratio of citation types and citation spread. We hope that various citation analysis studies and information services can be further developed based on our discussion for designing better information services.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.251-257
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• 2022

In this study, I analyzed what rhetorical citation type students most frequently used when reinforcing logic of their opinions and arguments in research papers, and compared these rhetorical types between higher and lower Korean proficiency levels of students. These 30 student papers included the following rhetorical citation types: statistics, attribution, exemplification, statement of use, establishing connections between sources, and comparing one's own findings or interpretations with other sources. Statistics was the most frequently used rhetorical citation type. In addition, the group with the highest level of Korean proficiency used citations about 8 to 11 times in their papers, and incorporated a variety of citation types including attribution, statistics, exemplification, and statement of use. Lower level students used significantly less citations and citation types. Therefore, it is necessary to raise awareness that "citations" is an important strategy to reinforce one's own logic, teach various types of citations as important research writing strategies, and prepare a more citation-focused academic writing curriculum.

• Journal of Information Management
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• v.41 no.1
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• pp.43-67
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• 2010

We examine several citation information services to analyze their functional items and resources as interests and concerns on citation information services have been increasing. Based on our analysis, we suggest a blueprint and model for national citation information services. As a result, We find that there are different service items and resources among the type of the citation information services. We also suggest three principles and personal services scenarios for developing national scholarly information service using citation information. And expert survey shows the priority of the services. This study would be a fundamental material for drawing big pictures on national citation information services.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.361-379
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• 2011

This paper aims to propose the most appropriate method for calculating the journal PageRank in a domestic citation database. Korean journals show relatively high journal self-citation ratios and have many outgoing citations to external journals which are not included in the domestic citation database. Because the PageRank algorithm requires recursive calculation to converge, those two characteristics of domestic citation databases must be accounted for in order to measure the citation impact of Korean journals. Therefore, two PageRank calculation methods and four formulas for self-citation adjustment have been examined and tested for KSCD journals. The results of the correlation analysis and regression analysis show that the SCImago Journal Rank formula with the cr2 type self-citation adjustment method seems to be a more appropriate way to measure the relative impact of domestic journals in the Korean Science Citation Database.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.273-289
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• 2015

This study examined changes in citation index scores and rankings of thirty-five chemistry faculty members at Seoul National University using different co-authorship credit allocation models. Using 1,436 Web of Science papers published between 2007 and 2013, we applied the inflated, fractional, harmonic, network-based allocation, and harmonic+ models to calculate faculty's h-, R-, and normalization of h- and R- index scores and rankings. The harmonic+ model, which is based on our belief that contribution of primary authors should be the same regardless of collaboration, is designed to minimize the penalty for research collaboration imposed by harmonic and NBA models by boosting the contribution of collaborating primary authors to be on the equal footing with single authors. Although citation rankings by different models are correlated with each other within the same type of citation indicator, rankings of many faculty members changed across models, suggesting the importance of an accurate and relevant authorship credit allocation model in the citation assessment of researchers. The study also found that authorship patterns in conjunction with citation counts are important factors for robust authorship models such as harmonic and NBA, and harmonic+ model may be beneficial for collaborating primary authors. Future research that reexamines the models with updated empirical data would provide further insights into the robustness of the models.