• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.241-249
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• 2020

The citation information of academic resources contains the knowledge flow from previous research, so it is possible to connect fragmented research in relational aspects. The citation information can grasp the overall flow of research, so it can promote convergence research such as developing existing research or deriving related fields. Therefore, in this study, the citation information of academic literature, which was previously provided at the level of simple disclosure, was reconstructed based on the citation relationship. Through this, backward and forward citation analysis were conducted based on time series, and the research flow was analyzed by setting the citation stage. Finally, we developed an academic information service that visualizes the main research contents of backward and forward citation based on time series. This accesses academic resources through the meaning contained in the citation information.

• 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 information Management
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• v.41 no.2
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• pp.1-18
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• 2024

This study aims to compare ego-centered journal citation identities among four domestic journals in library and information science. Ego-centered citation identity refers to the set of authors that an author frequently cites. The target journals for this study are Journal of the Korean Society for Library and Information Science (KSLIS), Journal of the Korean Biblia Society for Library and Information Science (KBIBLIA), Journal of Korean Library and Information Science Society (KLISS), and Journal of the Korean Society for Information Management (KOSIM). As a result of citation/citee ratio (CCR), self-citing rates (SCR), and journal co-cited analysis, the journal citation identities of four journals contained the other three journals besides the ego journal and JASIST. Furthermore, KOSIM had the most diverse range of journal citation identity and the four journals mattered the intra-journal information. KLISS showed the most unique cited journal network structure among the four journals.

• 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 Information Science Theory and Practice
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• v.1 no.4
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• pp.6-11
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• 2013

It is but a short journey from citation indexing to citation analysis and thence to evaluative bibliometrics. This paper outlines the path and describes how the time-honored practice of affixing bibliographic references to scholarly articles has paved the way for a culture of accounting to establish itself in contemporary academia.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.77-106
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• 2015

By document co-citation analysis with Korean Citation Index (KCI) data, this study accurately identified the research fronts and hot topics in Korean library and information science (LIS) from 2004 to 2013. 159 core papers in LIS domain and their citations are scraped manually from Korean Citation Index web site. In the cluster analysis and network analysis, 159 core papers were grouped into 27 clusters with multiple papers and 8 singlton clusters. Among the 27 clusters which have multple papers, 'LIS education' cluster was the largest with 16 core papers, and 'citation analysis & intellectual structure analysis' cluster had the strongest citation impact according to the ehs-index. Closer observation of the citations to the core papers in each research front showed that 67.5% of the citations were made by LIS research papers and 32.5% of the citations were made by non-LIS research papers. Considering the share of citations and the citation impact growth index, 'local documentation', 'citation analysis & intellectual structure analysis', and 'research trends analysis' were identified as the most emerging research front in Korean library and information science. The analytical methods used in this study have great potential in discovering the characteristics of research fronts in Korean interdisciplinary research domains.

• Journal of Information Science Theory and Practice
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• v.7 no.2
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• pp.23-31
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• 2019

We report results of selection-bias-free approaches to the analysis of the impact of open access (OA) models on citation metrics. We studied reference groups of Gold and Green OA articles and the group of non-OA (Paywall) articles with the new functionality of the Web of Science Core Collection database, the InCites platform of Clarivate Analytics, and the Dimensions database of Digital Science. For each reference group we obtained the values of the percent of cited articles and citation impact and their dependence on the depth of the citation period. Different research fields were analyzed in two schemas of the InCites platform. We report the higher values and growth rates of the citation metrics: citation impact and %Cited, in the OA reference groups over the Paywall group. The Green OA articles demonstrate the highest values of citation metrics among all the OA models. Dependence of the value of citation impact on citation period follows linear law with R2 values close to 0.9-1.0. The overall annual growth rates of citation impact of the Green OA, Gold OA, and the Paywall articles, k equal, respectively, 3.6, 2.4, and 1.4 in Dimensions and 4.6, 3.6, and 2.3 in the Web of Science Core Collection. We suppose that earlier results reported for the articles in pure OA journals vs. articles in Paywall journals were affected by the high citation impact of the Green and Hybrid OA articles that could not be elucidated in the Paywall journals at that time.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.99-113
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• 2013

The study investigated the intellectual structure of the library and information science field by journal co-citation analysis on thirty LIS journals with high journal impact factors. Patterns of journal-to-journal citation show the structure of journals in the field, visualized by a networked map of the journals. The result shows journals that can be considered as the core group and as the peripheral group, which corresponds to other studies for investigating the field's intellectual structure using other techniques, such as cluster analysis and multidimensional scaling.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.7-29
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• 2017

Data citation remains in its infancy, although providing the citation to a journal article is a typical norm in an academic community. This study examines the need for data citation, its principles and guidelines for improving the issue. In addition, the study investigates cases that established data citation mechanism, including DataCite, Dataverse Network and Data Citation Index that define elements of data citation and provide relevant services. At the end, it explores the current state of data citation in Korea through the analysis of citations to dataset from Korean General Social Survey.

• Journal of the Korean Society for information Management
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• v.25 no.1
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• pp.173-190
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• 2008

Author co-citation analysis(ACA) technique has been widely used for identifying research areas and trends in a discipline. But this technique has some limitations, mainly due to citation delay, on analyzing current trends and identifying active researchers. In this study, a new method, named as Bibliographic Author Coupling Analysis (BACA), is suggested for overcoming those limitations of author co-citation analysis. BACA is based on Kessler's bibliographic coupling approach and focuses not on documents but on authors. Simply stated, BACA technique assumes that those likewise citing authors have the same research interests. For the purpose of comparing with author co-citation analysis, two preceding studies with author co-citation analysis are reconsidered and re-examined using BACA. The comparing results can be regarded as promising the usefulness of BACA in analyzing current research trends and identifying active researchers.