{"title":"在谷歌学者引文计数的经验模式","authors":"Peter T. Breuer, Jonathan P. Bowen","doi":"10.1109/SOSE.2014.55","DOIUrl":null,"url":null,"abstract":"Scholarly impact can be measured crudely by the number of citations as a approximate indication of impact in terms of influencing other researchers, but this metric varies in applicability between disciplines. The number of citations for each publication of an author can be mapped as a graph in various ways. In doing so, certain empirical patterns may be discerned. This paper explores these patterns, using citation data from Google Scholar for a number of authors.","PeriodicalId":360538,"journal":{"name":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","volume":"124 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Empirical Patterns in Google Scholar Citation Counts\",\"authors\":\"Peter T. Breuer, Jonathan P. Bowen\",\"doi\":\"10.1109/SOSE.2014.55\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Scholarly impact can be measured crudely by the number of citations as a approximate indication of impact in terms of influencing other researchers, but this metric varies in applicability between disciplines. The number of citations for each publication of an author can be mapped as a graph in various ways. In doing so, certain empirical patterns may be discerned. This paper explores these patterns, using citation data from Google Scholar for a number of authors.\",\"PeriodicalId\":360538,\"journal\":{\"name\":\"2014 IEEE 8th International Symposium on Service Oriented System Engineering\",\"volume\":\"124 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 8th International Symposium on Service Oriented System Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOSE.2014.55\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOSE.2014.55","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Empirical Patterns in Google Scholar Citation Counts
Scholarly impact can be measured crudely by the number of citations as a approximate indication of impact in terms of influencing other researchers, but this metric varies in applicability between disciplines. The number of citations for each publication of an author can be mapped as a graph in various ways. In doing so, certain empirical patterns may be discerned. This paper explores these patterns, using citation data from Google Scholar for a number of authors.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
