{"title":"A Comparative Analysis of Unified Informetrics with Scopus and Web of Science","authors":"P. Khurana, Geetha Ganesan, G. Kumar, K. Sharma","doi":"10.5530/jscires.11.2.16","DOIUrl":null,"url":null,"abstract":"Numerous bibliographic databases track the number of publications, citations, and h-index to maintain the progress of an individual. However, the choice of journals varies among these databases, hence they produce different numbers of publications, citations and h-index for the same author. Various literatures are available on the comparative analysis of such bibliographic databases stating the fact that there are the differences between bibliometrics generated by different bibliographic databases but none of the literature provides any comprehensive or complete solution to overcome such differences. At present, there is no common platform that can provide a single count of number of publications, citations and h-index across multiple bibliographic databases. To overcome this limitation, we propose a new method in academic research publication to calculate weighted unified (single) informetrics for an author. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. In this study, the data from Scopus and Web of Science is used to generate a new database named “conflate”. Further, a comparative analysis of the proposed model is performed with Scopus and Web of Science at three levels: author, organization, and journal. The proposed model can be observed as a new single indicator to determine the research influence of the author, organization, and journal. Aim: We propose a new method in academic research publication to calculate weighted unified informetrics. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. The proposed model can be observed as a new indicator to determine the research influence of author, organization, and journal.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"14 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Scientometric Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5530/jscires.11.2.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 2
Abstract
Numerous bibliographic databases track the number of publications, citations, and h-index to maintain the progress of an individual. However, the choice of journals varies among these databases, hence they produce different numbers of publications, citations and h-index for the same author. Various literatures are available on the comparative analysis of such bibliographic databases stating the fact that there are the differences between bibliometrics generated by different bibliographic databases but none of the literature provides any comprehensive or complete solution to overcome such differences. At present, there is no common platform that can provide a single count of number of publications, citations and h-index across multiple bibliographic databases. To overcome this limitation, we propose a new method in academic research publication to calculate weighted unified (single) informetrics for an author. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. In this study, the data from Scopus and Web of Science is used to generate a new database named “conflate”. Further, a comparative analysis of the proposed model is performed with Scopus and Web of Science at three levels: author, organization, and journal. The proposed model can be observed as a new single indicator to determine the research influence of the author, organization, and journal. Aim: We propose a new method in academic research publication to calculate weighted unified informetrics. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. The proposed model can be observed as a new indicator to determine the research influence of author, organization, and journal.
许多书目数据库跟踪出版物的数量、引用和h指数,以保持个人的进步。然而,这些数据库对期刊的选择各不相同,因此它们对同一作者产生不同的出版物数量、引用数和h指数。通过对这类书目数据库的比较分析,可以找到各种文献,表明不同书目数据库生成的文献计量学存在差异,但没有一种文献提供全面或完整的解决方案来克服这种差异。目前,还没有一个通用的平台可以跨多个书目数据库提供单一的出版物数、被引数和h指数统计。为了克服这一限制,我们提出了一种在学术研究出版物中计算作者加权统一(单一)信息度量的新方法。使用建议的解决方案,可以查看从多个索引数据库计算的单个文章、引文和h-index计数。在本研究中,使用Scopus和Web of Science的数据生成一个名为“conflate”的新数据库。此外,在作者、组织和期刊三个层次上对所提出的模型与Scopus和Web of Science进行了比较分析。本文提出的模型可以作为一个新的单一指标来衡量作者、机构和期刊的研究影响力。目的:提出一种计算学术研究出版物加权统一信息度量的新方法。使用建议的解决方案,可以查看从多个索引数据库计算的单个文章、引文和h-index计数。该模型可作为判断作者、机构和期刊研究影响力的新指标。