{"title":"The Dark Citations of TODS Papers and What to Do About It: Or: Cite the Journal Paper","authors":"Christian S. Jensen","doi":"10.1145/3003665.3003680","DOIUrl":null,"url":null,"abstract":"In contrast, the academic impact of the content of a paper can be measured by the number of citations to the paper. In some areas, it is easier to get citations than in other areas. However, when comparing two papers from the same area, one paper with many citations and one paper with few, the former can generally be considered as the more interesting, relevant, important, and/or impactful one. The academic impact of a researcher can then be measured by the number of citations to their papers.","PeriodicalId":50915,"journal":{"name":"ACM Transactions on Database Systems","volume":"2 1","pages":"8e:1-8e:3"},"PeriodicalIF":2.2000,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Transactions on Database Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1145/3003665.3003680","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 12
Abstract
In contrast, the academic impact of the content of a paper can be measured by the number of citations to the paper. In some areas, it is easier to get citations than in other areas. However, when comparing two papers from the same area, one paper with many citations and one paper with few, the former can generally be considered as the more interesting, relevant, important, and/or impactful one. The academic impact of a researcher can then be measured by the number of citations to their papers.
期刊介绍：
Heavily used in both academic and corporate R&D settings, ACM Transactions on Database Systems (TODS) is a key publication for computer scientists working in data abstraction, data modeling, and designing data management systems. Topics include storage and retrieval, transaction management, distributed and federated databases, semantics of data, intelligent databases, and operations and algorithms relating to these areas. In this rapidly changing field, TODS provides insights into the thoughts of the best minds in database R&D.
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