TODS论文的黑暗引用和如何做:或:引用期刊论文

IF 2.2 2区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Database Systems Pub Date : 2016-06-30 DOI:10.1145/3003665.3003680

Christian S. Jensen

{"title":"TODS论文的黑暗引用和如何做:或:引用期刊论文","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":null,"pages":null},"PeriodicalIF":2.2000,"publicationDate":"2016-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"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\":null,\"pages\":null},\"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}","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

摘要

相比之下，论文内容的学术影响可以通过论文被引用的次数来衡量。在某些领域，获得引用比在其他领域更容易。然而，当比较来自同一领域的两篇论文时，一篇论文被引用的次数多，一篇论文被引用的次数少，前者通常可以被认为是更有趣、相关、重要和/或有影响力的一篇。研究人员的学术影响可以通过论文被引用的次数来衡量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

The Dark Citations of TODS Papers and What to Do About It: Or: Cite the Journal Paper

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

ACM Transactions on Database Systems 工程技术-计算机：软件工程

CiteScore

5.60

自引率

0.00%

发文量

审稿时长

>12 weeks

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.

期刊最新文献

Automated Category Tree Construction: Hardness Bounds and Algorithms Database Repairing with Soft Functional Dependencies Sharing Queries with Nonequivalent User-Defined Aggregate Functions A family of centrality measures for graph data based on subgraphs GraphZeppelin: How to Find Connected Components (Even When Graphs Are Dense, Dynamic, and Massive)