计算机系统论文的引用分析论文
1Computer Science, Reed College, Portland, OR, United States of America.
PeerJ. Computer science
|June 22, 2023
概括
引用分析显示,计算机系统论文受到了很大的影响,大多数论文在五年内得到了很好的引用. 早期的引用可能涉及预印或自我引用,随着时间的推移而稳定.
科学领域:
- 图书统计学 图书统计学
- 计算机科学 计算机科学
- 计算机系统研究 计算机系统研究
背景情况:
- 引用分析是评估学术影响的关键文献计量工具.
- 评估计算机系统研究的引用格局对于理解其影响至关重要.
研究的目的:
- 分析计算机系统研究中的引用模式.
- 调查引用分布,时间演变,数据库差异和自我引用特征.
主要方法:
- 分析了2017年来自50个系统会议的2,088篇论文.
- 检查来自谷歌学者和Scopus的引用数据.
- 在出版后的五年内追踪引用.
主要成果:
- 计算机系统论文得到了很高的引用;安全,数据库和架构是顶级子领域.
- 大多数论文在一年内被引用,引用数量在五年内线性增长.
- 引用数据库显示相对比较的最小差异;自引用在12-18个月后稳定.
结论:
- 计算机系统研究显示了显著的影响,引用指标稳定在五年左右.
- 谷歌学者是该领域相对引用分析的可靠来源.
- 了解引用动态有助于评估研究影响力.
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