{"title":"Models to Evaluate of Scientists' Rating","authors":"L. H. Vlashchenko, O. Nikitenko","doi":"10.15802/unilib/2019_189791","DOIUrl":null,"url":null,"abstract":"Objective. This publication purpose is to review the models by which we can evaluate the scientists' ranking. Methods. Two models to estimate scientist rating was described. One model proposes to use data from international scientometric databases to evaluate the scientists rating. Three approaches using to estimate rating was shown. Formula calculations have been developed for two of these approaches. The example of scientist rating calculation according to data from the international scientometric database Scopus is given. Another model proposes to use the TRUST National Higher Education Quality Assurance Portal to estimate the higher school's rating. Results. This allows you to store information about publications and other achievements of the scientist, including full texts, to estimate scientists rating using more factors and to design necessary output forms for later use. Conclusions. The first model can be used to evaluate the scientists rating in a higher education institution using the Web of Science and Scopus science databases at the current time. The second model allows to store information about publications and other achievements of the scientist, including full texts.","PeriodicalId":377077,"journal":{"name":"University Library at a New Stage of Social Communications Development. Conference Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"University Library at a New Stage of Social Communications Development. Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15802/unilib/2019_189791","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective. This publication purpose is to review the models by which we can evaluate the scientists' ranking. Methods. Two models to estimate scientist rating was described. One model proposes to use data from international scientometric databases to evaluate the scientists rating. Three approaches using to estimate rating was shown. Formula calculations have been developed for two of these approaches. The example of scientist rating calculation according to data from the international scientometric database Scopus is given. Another model proposes to use the TRUST National Higher Education Quality Assurance Portal to estimate the higher school's rating. Results. This allows you to store information about publications and other achievements of the scientist, including full texts, to estimate scientists rating using more factors and to design necessary output forms for later use. Conclusions. The first model can be used to evaluate the scientists rating in a higher education institution using the Web of Science and Scopus science databases at the current time. The second model allows to store information about publications and other achievements of the scientist, including full texts.
目标。这篇文章的目的是回顾我们可以评估科学家排名的模型。方法。描述了两种估计科学家等级的模型。一个模型建议使用来自国际科学计量数据库的数据来评估科学家的评级。给出了评估评级的三种方法。已经为其中两种方法开发了公式计算。给出了基于国际科学计量数据库Scopus数据的科学家等级计算实例。另一种模式建议使用信托国家高等教育质量保证门户网站来估计高等学校的评级。结果。这允许您存储有关该科学家的出版物和其他成就的信息,包括全文,使用更多因素估计科学家的评级,并设计必要的输出表格供以后使用。结论。第一个模型可用于利用Web of Science和Scopus科学数据库评估当前高等教育机构的科学家排名。第二个模型允许存储有关该科学家的出版物和其他成就的信息,包括全文。