Bibliometric Analysis of the Korean Journal of Parasitology: Measured from SCI, PubMed, Scopus, and Synapse Databases

The field of ‘Statistics and Probability’ has expanded its scope over the last few decades and have become an integral part of many fields with continuously increasing demand. This manuscript aimed for at a bibliometric analysis and comparison of all published documents during 2015 – 2019, from journals in the study topic category of ‘Statistics and Probability’ for Q4 Impact Factor (IF) journals and Emerging Source Citation Index (ESCI) of Web of Science (WoS). Sources with incomplete data for study timeframe were excluded and 31 sources from Q4 IF and 32 from ESCI journals were selected yielding 12808 and 4294 documents respectively. After data extraction from WoS, the bibliometric analysis at; source, author and document levels, were performed using “Bibliometrix” R-package. Q4-IF sources produced around 3 times more documents than ESCI sources. Articles were the main document type for both categories. China and USA were leading countries for Q4-IF while India, USA and Korea were dominant among ESCI documents. Two authors, namely, ‘Cordeiro GM’ and ‘Alizadeh M’ were among the 10 most productive authors in both categories. Sources “Communications in Statistics-Theory and Methods” and “Korean Journal of Applied Statistics” were leading contributors for Q4-IF and ESCI category respectively. For both categories, mainly similar trends were observed for keywords and topic coverage. In both Q4-IF and ESCI journals ‘Maximum likelihood’ and ‘Ordered statistics’ were observed to be most predominant keywords. A consistent publication trend with few similarities was observed in terms of documents production over the years for these two categories.

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Thirty years of the Journal of Derivatives and Quantitative Studies: a bibliometric analysis

Journal of Derivatives and Quantitative Studies ◽

10.1108/jdqs-08-2021-0020 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jun Sik Kim ◽

Sol Kim

Keyword(s):

Bibliometric Analysis ◽

Behavioral Finance ◽

Implied Volatility ◽

Impact Factors ◽

Academic Journal ◽

Content Type ◽

Quantitative Studies ◽

Korean Journal ◽

And Cluster Analysis ◽

The Relationship

PurposeThis paper aims to provide a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on a bibliometric analysis.Design/methodology/approachThe authors use the performance analysis to analyze patterns in JDQS's publications, citations and citation indices over the years. To investigate the relationship among keywords and authors, the authors of this paper employ science mapping by analyzing keyword-level networks and author-level networks using the KCI- Korean Journal Database of WOS. The authors use VOSviewer for bibliographic analysis and cluster analysis at the keyword and author levels. To study the effect of JDQS articles' attributes on citations of the articles, the authors conduct a regression analysis with KCI data. The authors regress the citations for each article on the article's attributes.FindingsJDQS's yearly publications, citations, impact factors and centrality indices grew in the early 2010s before diminishing in 2020. Keyword network analysis reveals that JDQS's main keywords include behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. Based on the number of views and downloads of JDQS articles, the authors find that recent changes in publisher and editorial and publishing policies have increased the journal's visibility.Originality/valueThis study quantitatively analyzed the bibliographic information of papers published in JDQS, a representative Korean academic journal in the finance area. This confirms the academic contribution of JDQS over the past 30 years and provides implications for future strategies of the journal. It shows the patterns in JDQS's publications, citations and citation indices and identifies the main authors and most cited papers. However, there is no such bibliometric analysis on Korean financial journals; thus, this study can contribute to the literature in this point.

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“Researching the Research” in Prostate Cancer: A Comparative Bibliometric Analysis of the Top 100 Cited Articles in the Field of Prostate Cancer

Current Urology ◽

10.1159/000447191 ◽

2017 ◽

Vol 11 (1) ◽

pp. 26-35 ◽

Cited By ~ 5

Author(s):

Ahmed Adam ◽

Reuben Ras ◽

Amit S. Bhattu ◽

Avi Raman ◽

Marlon Perera

Keyword(s):

Prostate Cancer ◽

United States ◽

Gross Domestic Product ◽

Bibliometric Analysis ◽

Core Collection ◽

Web Of Science ◽

The United States ◽

Korean Journal ◽

Comprehensive Search ◽

The Web

Background: To perform the first comparative bibliometric analysis of the “Top 100 (T100) cited articles in prostate cancer (PCa)”. Materials and Methods: A comprehensive search using the Web of Science Database (v 5.21) covering the Web of Science™ Core Collection, BIOSIS Previews, Central Contents Connect, KCI-Korean Journal Database, MEDLINE, SciELO Index (February 2016) was performed, for all articles relevant to PCa. Results: The T100 were cited 582 to 3,387 times, and were published from 1966 to 2012. The top 3 subcategories associated with PCa included: genetics/biomarkers (n = 34), management (n = 25), and physiology (n = 11). T100 contributions from USA (n = 86), were most prominent. If the regional citation was corrected for percentage on research (citation record/percentage gross domestic product on research) a variation in the ranking was noted. Conclusion: The first bibliometric analysis in the field of PCa is presented. Regions that predominate the T100, include the United States and Europe. Articles published in higher impact factor journals, in English medium and content related to PCa research associated with genetics/bio-markers have the highest citation potential.

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