• Title/Summary/Keyword: Science citation index

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Global Tribology Research Output (1998 - 2012): A Macro Level Scientometric Study

  • Elango, B.;Rajendran, P.
    • Journal of Information Science Theory and Practice
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    • v.3 no.4
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    • pp.35-48
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    • 2015
  • The aim of this study is to compare country output and citation impact as well as to assess the level of interdisciplinarity in the field of tribology research during the period 1998-2012, based on the SCOPUS database. Macro-level scientometric indicators such as growth rate, share of international collaborative papers, citation per paper, share of un-cited papers, and publication efficiency index were employed. Further, the Simpson Index of Diversity was used to measure the level of interdisciplinarity. The performance of top countries contributing more than 1000 papers during the study period was discussed. Contributions and share of continents and countries by income groups were examined. Further research contributions and citation impact of selected country groups were analyzed. This study reveals that high levels of interdisciplinarity exist in tribology research. Asia outperforms the other world regions and China contributes most of the papers (25%), while the United States receives most of the citations (22%).

Developing New Journal Citation Indicators including Immediate Citation Frequencies in the Published Year (출판년도의 즉시 인용빈도를 포함하는 학술지 인용지수 개발)

  • Lee, Jae Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.52 no.4
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    • pp.71-90
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    • 2018
  • The importance of citation measures has been increasing in the evaluation of scholarly journals and it becomes a major issue for Korean Citation Index (KCI) journals. The Journal Impact Factor (JIF), a widely used measure for academic journals, has a problematic issue that it does not include the number of citations for a paper immediately made in the year in which the cited paper was published. On the contrary, the Diachronous Impact Factor (IMP) includes the number of citations made in the published year, but IMP is a measure for papers published a few years ago, not in the last year. It does not represent the recent value of journals effectively. To overcome these problems, Total Impact Factor (TIF) and Mean Impact Factor (MIF) are proposed as new journal citation indicators. This study calculated the performance of proposed indicators experimentally on KCI data. The result shows that TIF is a promising measure for the multidimensional evaluation of humanities and social sciences journals in Korea because it has high stability by year and includes the immediate citations of the published year.

Deep Learning Research Trends Analysis with Ego Centered Topic Citation Analysis (자아 중심 주제 인용분석을 활용한 딥러닝 연구동향 분석)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.7-32
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    • 2017
  • Recently, deep learning has been rapidly spreading as an innovative machine learning technique in various domains. This study explored the research trends of deep learning via modified ego centered topic citation analysis. To do that, a few seed documents were selected from among the retrieved documents with the keyword 'deep learning' from Web of Science, and the related documents were obtained through citation relations. Those papers citing seed documents were set as ego documents reflecting current research in the field of deep learning. Preliminary studies cited frequently in the ego documents were set as the citation identity documents that represents the specific themes in the field of deep learning. For ego documents which are the result of current research activities, some quantitative analysis methods including co-authorship network analysis were performed to identify major countries and research institutes. For the citation identity documents, co-citation analysis was conducted, and key literatures and key research themes were identified by investigating the citation image keywords, which are major keywords those citing the citation identity document clusters. Finally, we proposed and measured the citation growth index which reflects the growth trend of the citation influence on a specific topic, and showed the changes in the leading research themes in the field of deep learning.

Analysis of Korea Science Citation Database's effect on JCR (한국과학기술인용 DB를 반영한 JCR 분석연구)

  • Lee, Jong-Wook;Yang, Ki-Duk;Kim, Byung-Kyu;You, Beom-Jong
    • Journal of Information Management
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    • v.43 no.3
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    • pp.23-41
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    • 2012
  • Citation analysis studies have reported many problems associated with data coverage problems common to popular citation databases such as Web of Science(WoS). In addition, the studies that analyzed citation patterns of Korean publications found that up to 75% of references in Korean publications were to international publications. As a first step in investigating the international coverage of WoS database, the study investigated the effect of adding citation data from Korea Science Citation Database(KSCD) to the impact factors and journal rankings of the journals listed in Journal Citation Reports. Specifically, the study mined the reference data from top 5 Korean Library and Information Science(KLIS) journals to recompute the impact factors reported in JCR 2009. Since the resulting journal rankings did not significantly differ from JCR 2009 rankings except for minor ranking changes, we analyzed additional citation data from 45 computer science and electrical engineering journals. Although the overall ranking difference was not statistically significant, one of the ranking partitions showed significant change. Such study findings despite its limited data sample suggest the potential impact of non-Western citation databases such as KSCD to bibliometric indicators provided by popular citation databases like WoS.

Activation of Publishing Domestic SCIE Journals Based on the Situation Analysis (국내 SCIE 학술지의 출판 현황과 활성화에 관한 연구)

  • Shin, Eun-Ja
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.4
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    • pp.157-178
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    • 2011
  • In the field of science and technology, influential international journals can easily be found in SCIE. A total number of journals published by societies or institutes in Korea are only 82 of the 8,300 SCIE titles. In this study, in light of the SCI criteria the detailed analysis, of these journals was performed for Korean SCIE journals. The results show that in general domestic journals were not actively cited, had a low level of internationality, and user services through the website was insufficient. Korean SCIE journals should continue to complement these points and elevate its reputation. Candidate journals should concentrate on recruiting more excellent papers, promoting communication with foreign researchers, enhancing domestic and international public relations, and the like. To actively support the domestic publication of excellent journals, long-term and short-term measures should be established and consistently practiced at the national level.

Citation Analysis of Scholarly Journals of Library & Information Science Field in Korea (국내 문헌정보학분야 학술지의 상호인용관계 분석)

  • Kim, Hong-Ryul
    • Journal of the Korean Society for information Management
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    • v.32 no.4
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    • pp.7-27
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    • 2015
  • This study is to analyze impact factor, self-citation, immediacy index and cited half-life through citation analysis of scholarly journals of LIS field in Korea. This study was analysed the 9,329 references cited in Korean scholarly journal of LIS field. As a result, it analyzed that the articles of Korean LIS journal among the cited references in scholarly journal of LIS field in Korea is very insignificant. In other words, the percentage of citations was observed 19.1% in Journal of Korean Library and Information Science Society (KSLIS), 20.2% in Journal of the Korean Society for Library and Information Science (KLISS), 17.0% in Journal of the Korean Society for Information Management (KOSIM), 18.8% in Korean Biblia Society for Library and Information Science (KBIBLIA). Also, the cited half-life was analysed 5.87 years in KSLIS, 5.40 years in KLISS, 4.25 years in KOSIM, 3.57 years in KBIBLIA. And Impact factor has been found to be very low compared to journals of other fields.

A Study on the Intellectual Structure of Domestic Library and Information Science Based on Co-Citation (동시인용 분석 기반 국내 문헌정보학 분야의 지적구조에 관한 연구)

  • MinHui Lee;Seung-Jin Kwak
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.4
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    • pp.311-331
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    • 2023
  • This study attempted to explore the characteristics of knowledge communication and investigate important research topics and key authors by analyzing major academic papers in the field of LIS in Korea for five years from 2018 to 2022. The research method collected and analyzed papers published for five years in four key journals in the field of domestic Library and Information Science from the Korean Citation Index (KCI) database. The paper was selected to extract the author data of the paper and the data of the reference, and network visualization was performed by conducting literature co-citation analysis and author co-citation analysis using Netminer. As a result of the analysis, it was possible to derive a pair of co-citations between authors, and it was confirmed that it is important to include multiple authors in the intellectual structure analysis in the academic field through co-citation frequency analysis among researchers. The literature confirmed the correlation between the topics of the paper, and it was found that research related to Library and Information Science was centered on the topics of library, digital, user, service, and data.

The Global Knowledge Linkage Structures of the Agricultural Sector Pertinent to Information Technology: A Triple Helix Perspective

  • Hossain, Md. Dulal;Moon, Junghoon;Choe, Young Chan
    • Agribusiness and Information Management
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    • v.3 no.1
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    • pp.23-37
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    • 2011
  • The development of informatization impacts all sectors, including agriculture. Agricultural informatization builds the knowledge linkage structures of agricultural innovation systems globally. This study investigated the global knowledge linkage structures in agricultural innovation pertinent to information technology (IT) for agricultural research and development (R&D) investments and activities. We explored the longitudinal trend of systemness within the networked research relationships in the triple helix (TH) of the university, industry and government (UIG). We collected data from publications in the Science Citation Index (SCI), the Social Sciences Citation Index (SSCI), and the Arts and Humanities Citation Index (A&HCI) to analyze the TH network dynamics. We also performed a scientometrics analysis to quantitatively identify the knowledge and insights of global agricultural innovation structures. These results could be informative for individual countries. Our findings reveal that the global knowledge linkage structures in the agricultural sector that are pertinent to IT fluctuate widely and fail to increase the capacity of agricultural innovation research due to a neglect of the network effects of the TH dynamics of UIG.

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