Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count
Evaluation Index to Find Relevant Papers: Improvement of Focused Citation Count
复制标题
寻找相关论文的评估索引：重点引用计数的改进
DOI：
10.1007/978-3-030-22660-2_41
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Hirokawa Sachio
中科院分区：
文献类型：
--
作者：
Nakatoh Tetsuya;Hirokawa Sachio
在研究调查过程中，快速找到合适的论文非常重要。研究人员通常的做法是通过使用查询关键词进行搜索来选择相关论文，按引用次数对这些论文进行排名，然后从排名最高的论文开始按顺序检查。然而，如果一篇以查询关键词作为非主要词的论文被多次引用，那么它将阻碍快速找到合适论文的任何尝试。我们已经提出了聚焦引用计数（FCC），通过适当关注作为引用计数来源的被引论文，将引用次数设置为更合适的评价指标，以支持找到合适的论文。在本研究中，我们提出了一种改进的 FCC 方法。由于FCC很容易受到引用数大小的影响，因此本提案旨在减少其特征。我们使用实际的论文数据评估所提出的方法，并尝试确认其有效性。
During a research survey, it is very important to quickly find suitable papers. It is common practice for researchers to select relevant papers by searching using query keywords, ranking those papers by citation number, and checking in order from the highest ranked papers. However, if a paper that had a query keyword as a non-primary word had many citations, it would hinder any attempt to quickly find the appropriate paper. We have already proposed a Focused Citation Count (FCC) that supports the finding of suitable papers by setting the number of citations as a more appropriate evaluation index by properly focusing on cited papers which are the sources of citation counts. In this study, we propose an improved method of FCC. Since FCC is easily affected by the size of the cited number, this proposal aims to reduce its characteristics. We evaluate the proposed method using actual paper data and try to confirm its effectiveness.
影响因子：
3.9
作者：
R. Kostoff
通讯作者：
R. Kostoff
期刊影响因子以聚焦视角修订
DOI：
10.1007/978-3-319-19857-6_40
发表时间：
2015
期刊：
--
影响因子：
--
作者：
Tetsuya Nakatoh;Hayato Nakanishi;S. Hirokawa
通讯作者：
S. Hirokawa