COLLNET Journal of Scientometrics and Information Management最新文献_第6页

Webometric analysis of open access digital repository of agricultural sciences in Asia 亚洲农业科学开放获取数字知识库的网络计量分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1938743

Sanjib Ghosh, B. Roy

引用次数: 3

Bibliometric analysis of the Journal of Islamic Accounting and Business Research : Ten years review 《伊斯兰会计与商业研究杂志》文献计量学分析：十年回顾

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1934603

M. Hassan, M. M. Alshater, Jinnatul Raihan Mumu, A. Sarea, M. Azad

{"title":"Bibliometric analysis of the Journal of Islamic Accounting and Business Research : Ten years review","authors":"M. Hassan, M. M. Alshater, Jinnatul Raihan Mumu, A. Sarea, M. Azad","doi":"10.1080/09737766.2021.1934603","DOIUrl":"https://doi.org/10.1080/09737766.2021.1934603","url":null,"abstract":"Purpose – This paper aims to provide a full bibliographical overview of Islamic Accounting and Business Research Journal in the celebration of its 10th year since establishment. Design/Methodology/Approach – We used bibliometric approach, collecting 287 published articles and reviews in JIABR from Scopus database starting from April 2010 till June 2020. Using RStudio, VOS-viewer and Excel we generated top scientific actors for this journal, citation analysis, content analysis and concluding remarks for the journal development. Findings – The bibliometric results reveal in terms of science mapping that the publications of JIABR over the last 10 years can be summarized to be focused in five research streams (1) Socio-economic understanding for different Islamic financial instruments, (2) Contemporary Islamic accounting, (3) Shariah-compliant equity market, (4) Corporate social responsibility and ethical disclosure, and (5) corporate governance in Islamic financial institutions. Practical Implications – The paper will identify the leading trends in the journal in terms of papers, authors, institutions, countries, journals, topics and keywords. This study will enable readers achieve full understanding of the journal. Originality/Value – The study provides objective evaluation of the journal’s progress through a decade of its operation; it highlights the achievement and discusses the progress and contribution of the journal to the scientific research.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"63 - 88"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1934603","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44452770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

COLLNET Journal of Scientometrics and information Management : A bibliometric study 科学计量学与信息管理:文献计量学研究

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1920067

K. C. Garg, Bebi

{"title":"COLLNET Journal of Scientometrics and information Management : A bibliometric study","authors":"K. C. Garg, Bebi","doi":"10.1080/09737766.2021.1920067","DOIUrl":"https://doi.org/10.1080/09737766.2021.1920067","url":null,"abstract":"This study presents a bibliometric analysis of 267 papers published in 13 volumes (2007-2019) in COLLNET Journal of Scientometrics and Information Management (CJSIM). The analysis examines the chronological distribution of output and the geographical distribution of contributions, identified prolific institutions and prolific authors and examined their impact in terms of Citation per Paper (CPP) and Papers not Cited (PnC). Besides these, the study also examined the pattern of citations, identified highly cited papers, pattern of domestic and international collaboration. Findings of the study indicate that the growth of articles is inconsistent with highest number of papers published in the year 2014 and lowest in the year 2007. The output was scattered among 41 countries, of which 12 prolific countries contributed 80.8 % of the total output. Among the prolific 12 countries India ranked first with 31.8% of papers. Among the institutions, Dalian University of Technology (China) topped the list. Pattern of domestic and international collaboration indicates that 79 papers were published in domestic collaboration and 48 papers in international collaboration. Among all countries, India had the highest share of domestically collaborative papers and China had the highest number of internationally collaborative papers.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"47 - 61"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1920067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48564624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Network analysis and scientific mapping of the field of e-learning in Iran 伊朗电子学习领域的网络分析和科学制图

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2020.1853489

M. Negahban

{"title":"Network analysis and scientific mapping of the field of e-learning in Iran","authors":"M. Negahban","doi":"10.1080/09737766.2020.1853489","DOIUrl":"https://doi.org/10.1080/09737766.2020.1853489","url":null,"abstract":"The main objectives at this research to network analysis and present the scientific map of the field of e-learning in Iran. The importance of this research is to identify emerging and prominent subject areas; and to identify and analyze the co-occurrence network of the e-learning in Iran based on the closeness and betweenness centrality measures. It is a scientometric research, using quantitative method and citation analysis. In order to draw a scientific map of e-learning research literature, the data were extracted from the Web of Science database within a specified time period. The retrieved records were formatted using WC10.exe conversion software, and were then mapped using VOSviewer software. The findings revealed a growing trend in the number of articles published in the field of e-learning, and this number increases on an annual basis. The most widely used subject areas in the field of e-learning were identified. High frequency keywords such as e-learning, education, technology, system and satisfaction are the newly emerging and active concepts in this field. Regarding the widely used subject areas in the field of e-learning, it was noted that the two areas of e-learning and education are ranked first and second as the most frequently used terms. The keywords “technology, system and satisfaction” are the other high frequency terms representing the newly emerging concepts in this field. The field of e-learning was mapped based on the closeness centrality measure and its findings revealed that topics such as learning, technology & system learning have the greatest impact on the map. In contrast, information technology, education technology and learning with the lowest centrality and the least impact.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"1 - 8"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1853489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46216263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Classic articles in apoptotic research : A bibliometric analysis 凋亡研究中的经典文章：文献计量学分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1934605

A. Jallow, Shin-Da Lee, Y. Ho

{"title":"Classic articles in apoptotic research : A bibliometric analysis","authors":"A. Jallow, Shin-Da Lee, Y. Ho","doi":"10.1080/09737766.2021.1934605","DOIUrl":"https://doi.org/10.1080/09737766.2021.1934605","url":null,"abstract":"Background: Classic articles are defined as research papers with a total citation of one thousand or more. The present study is to identify and analyse the characteristics of the classic articles in apoptosis research. Method: Classic articles with total of 1,000 or more citations from Web of Science Core Collection since year of publication to the end of 2017 were basically assessed regarding their document types, languages, journals, and Web of Science categories within 1900 to 2017. Result: The study showed 418 classic documents in apoptotic research including 260 articles published between 1972 and 2012. The most productive Web of Science category was multidisciplinary sciences. Nature published most of these classic articles followed by Cell, and Science. The most productive country and institution were United States and Harvard University respectively. The author S.J. Korsmeyer from Harvard University was the most productive in apoptosis field and published 13 classic apoptosis articles while the author J.C Reed had more potential to publish classic apoptosis articles in future. The author J.C. Reed and V.A. Fadok had equal potential to publish the same number of classic articles as first and corresponding author. Article of Kerr et al. in 1972 was the most popular and cited apoptosis article. The most impact article in 2017 was article entitled “Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion” by Dong et al. in 2002. Conclusion: This study identified the most industrious authors, institutions, and countries in the field of apoptosis research. It also revealed the historical and discoveries related to the pathophysiology of apoptosis as well as the most impact publications on apoptotic studies.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"145 - 162"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1934605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45026209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Applied artificial intelligence : A bibliometric study of an International Journal 应用人工智能:国际期刊文献计量学研究

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1938742

Fayaz Ahmad Loan, Bisma Bashir, Nahida Nasreen

{"title":"Applied artificial intelligence : A bibliometric study of an International Journal","authors":"Fayaz Ahmad Loan, Bisma Bashir, Nahida Nasreen","doi":"10.1080/09737766.2021.1938742","DOIUrl":"https://doi.org/10.1080/09737766.2021.1938742","url":null,"abstract":"Purpose: The study aims to conduct a bibliometric analysis of an international journal “Applied Artificial Intelligence (AAI)” to analyze publication trends, authorship patterns, collaborative networks, citation behaviors, and research hotspots of authors, organizations, and countries. Research Design/Methodology: “Applied Artificial Intelligence” is a peer-reviewed international journal, published by Taylor & Francis. The journal has published more than 1100 articles in 34 volumes so far. The idea was conceived to conduct the bibliometric study of the AAI journal. The data were collected from the Web of Science (WOS) database, owned by the Clarivate Analytics. A total of 1109 articles were retrieved and their metadata was collected for further analysis and interpretation. Additionally, the VOS viewer software was used for mapping and visualization of the bibliographic information. Findings: The journal has experienced positive growth in research productivity and negative growth in citations. Authors of 74 prominent countries have contributed to the journal and the USA has occupied the first position in publication count followed by Italy, India and England respectively. All the countries work in close collaboration and created a collaborative network and sub-networks. The USA is the pivot of the collaborative network, mostly collaborating with England, Japan, Italy, China and Germany. The keywords like the classification, optimization, algorithms and neural networks are the most common and hence the hot topics of research in the journal. Originality/Value: The main advantage of this study is that it provides profound knowledge of the content structure and developmental process of the journal to date. It is also valuable for researchers in the field of artificial intelligence to identify the research hotspots in this field.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"27 - 45"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1938742","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44515750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Application of Bradford’s law of scattering and Leimkuhler model to information science literature Bradford散射定律和Leimkuhler模型在信息科学文献中的应用

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1943041

Dhrubajyoti Borgohain, M. Verma, Mohammad Nazim, Mayukh Sarkar

{"title":"Application of Bradford’s law of scattering and Leimkuhler model to information science literature","authors":"Dhrubajyoti Borgohain, M. Verma, Mohammad Nazim, Mayukh Sarkar","doi":"10.1080/09737766.2021.1943041","DOIUrl":"https://doi.org/10.1080/09737766.2021.1943041","url":null,"abstract":"This paper discusses the theoretical aspects of Bradford’s law, its implications in different subject areas, various implementation forms, and its relevance in the published Information Science literature. The study attempts to apply Bradford’s law and Leimkuhler model on Information Science literature to a total of 213 source items listed in the Scopus database during the study period of 2001 to 2020. A ranking table of journals and articles has been prepared to contain the cumulative count. In the first phase, the verbal formulation or the laws’ algebraic form is employed in the journal distribution pattern that depicts a very high percentage of error in the actual observation that does not comply with Bradford’s distribution. The Leimkuhler model’s application follows this after finding the Bradford multiplier (k) value, thereby estimating the number of journals in the core and the successive two zones (r 0, r 1, r 2). A minor percentage error of 0.0092357% has been observed, followed bythe graphical depiction of the data, i.e., “Bradford’s Bibliograph.” “Scientometrics” (39), “Bulletin of the Medical Library Association” (33), “Canadian Journal of Information and Library Science”(26 ) were found as the most preferred journals with the highest frequency.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"197 - 212"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1943041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44188608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Naukometriya, Nalimov and Mul’chenko Naukometriya、Nalimov和Mul'chenko

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1943042

R. Rousseau

引用次数: 8

Early cancer diagnosis using lab-on-a-chip devices : A bibliometric and network analysis 使用芯片实验室设备进行早期癌症诊断:文献计量学和网络分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2021-01-02 DOI: 10.1080/09737766.2021.1949949

Luiza Amara Maciel Braga, Fabio Batista Mota

引用次数: 1

Global research trends and publications of insomnia: A bibliometric analysis 失眠症的全球研究趋势和出版物:文献计量分析

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COLLNET Journal of Scientometrics and Information Management Pub Date : 2020-07-02 DOI: 10.1080/09737766.2021.1906184

A. Jallow, Ming-Huang Wang, Y. Ho

{"title":"Global research trends and publications of insomnia: A bibliometric analysis","authors":"A. Jallow, Ming-Huang Wang, Y. Ho","doi":"10.1080/09737766.2021.1906184","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906184","url":null,"abstract":"This study aimed to evaluate the tendency of insomnia articles in SCI-EXPANDED database. Data was obtained from the online version of Science Citation Index Expanded (SCI-EXPANDED) database in the Web of Science Core Collection of Clarivate Analytics within the publication year from 1991 to 2018. The publications were assessed regarding their document types, languages, and journals. We used three citation indicators such as C 2018, TC 2018, and CPP 2018 to determine the citation received by publications. We used the Y-index method formulated by Ho. The study found 16,478 insomnia documents within 15 document types indexed in the Web of Science, and articles type was used most constituting 66% (10,801) of the documents. Ninety-five percent of the articles were published in English. The journal of Sleep published most of the insomnia article then followed by Sleep Medicine. The 30% of 10,801 articles were published in the top category of clinical neurology. The G7 countries published most of the insomnia articles. The most productive country and institution was United States and Harvard University respectively. The article entitled “A new method for measuring daytime sleepiness: The Epworth sleepiness scale” published by Johns in 1991was the most cited article with TC 2018 of 7,191 and C 2018 of 661 citations. The most industrious and had more potential to published insomnia articles was M.M. Ohayon. Moreover, the study showed that most of the insomnia articles were related to depression, anxiety, cancer, and schizophrenia. Insomnia is a serious problem with synergistic effects for normal body health. Bibliometric method can help researchers to have comprehensive knowledge on insomnia and initiate an orientation for further research so as to solve a problem. Furthermore, it may also help researchers to determine the impact of insomnia publications as well as to identify relevant research groups in the field of insomnia.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"349 - 367"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46179826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3