{"title":"Method of express bibliometric analysis of scientific diasporas","authors":"O. Shatberashvili","doi":"10.1080/09737766.2019.1568364","DOIUrl":null,"url":null,"abstract":"The proposed method of Express Bibliometric Analysis (EBA) is developed for quick finding of countries’ scientific diaspora characteristics. Its main novelty lies in the ability to assess the scientific diaspora population size, thought, up to now, by the researchers studying scientific diasporas, as impossible to do. In parallel, it compiles the statistical sample for finding diasporan researchers’ distribution by countries in the World, scientific disciplines, performance, gender, etc. The EBA method can be applied using any of DBs: ISI WoS, Scopus or Google Scholar. In this paper the EBA is tested using Google Scholar DB for the cases of scientific diasporas of Armenia and Georgia. It is shown that in a short time population sizes of two National scientific diasporas, as well as their other characteristics have been found and compared. The EBA method is useful for countries wishing to develop the policy of communication with the scientific diaspora.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"13 1","pages":"139 - 145"},"PeriodicalIF":1.6000,"publicationDate":"2019-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2019.1568364","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"COLLNET Journal of Scientometrics and Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09737766.2019.1568364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The proposed method of Express Bibliometric Analysis (EBA) is developed for quick finding of countries’ scientific diaspora characteristics. Its main novelty lies in the ability to assess the scientific diaspora population size, thought, up to now, by the researchers studying scientific diasporas, as impossible to do. In parallel, it compiles the statistical sample for finding diasporan researchers’ distribution by countries in the World, scientific disciplines, performance, gender, etc. The EBA method can be applied using any of DBs: ISI WoS, Scopus or Google Scholar. In this paper the EBA is tested using Google Scholar DB for the cases of scientific diasporas of Armenia and Georgia. It is shown that in a short time population sizes of two National scientific diasporas, as well as their other characteristics have been found and compared. The EBA method is useful for countries wishing to develop the policy of communication with the scientific diaspora.