Institute of Computing Technology, Chinese Academy IR
h(u)-index: a unified index to quantify individuals across disciplines | |
Li, Siying1,2; Shen, Huawei1,2; Bao, Peng3; Cheng, Xueqi1,2 | |
2021-02-25 | |
发表期刊 | SCIENTOMETRICS |
ISSN | 0138-9130 |
页码 | 18 |
摘要 | Nowadays scientific evaluation is becoming increasingly important and necessary in many cases, such as faculty hiring, funding and promotion. Among existing evaluation metrics for individual performance, h-index is the most famous indicator and achieves a prominent role since its publication. However, h-index is inapplicable to comparing individuals from different scientific disciplines, primarily because it cannot handle the huge difference in collaboration habits and citation practices across disciplines. Such a shortcoming of h-index is rooted in its arbitrary definition, comparing two quantities with quite different scales, i.e., citation count for scientific impact and publication count for productivity. To combat this problem, we propose a new evaluation measure, h(u)-index, which unifies citation count and publication count into the same scale. We theoretically analyze the relationship between h(u)-index, h-index and other variants of h-index. We also study the behavior of h(u)-index in empirical cases and researcher ranking tasks. Experimental results demonstrate that h(u)-index has superior performance than h-index and achieves a better comparison of individuals across disciplines. |
关键词 | h-index Scientific impact Multiple co-authorship Performance evaluation |
DOI | 10.1007/s11192-021-03879-1 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key R&D Program of China[2018YFB1402600] ; National Natural Science Foundation of China[91746301] ; National Natural Science Foundation of China[U1911401] ; Beijing Academy of Artificial Intelligence (BAAI)[BAAI2019QN0304] ; K.C. Wong Education Foundation |
WOS研究方向 | Computer Science ; Information Science & Library Science |
WOS类目 | Computer Science, Interdisciplinary Applications ; Information Science & Library Science |
WOS记录号 | WOS:000621730600003 |
出版者 | SPRINGER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/16894 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Li, Siying; Shen, Huawei |
作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Beijing Jiaotong Univ, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Siying,Shen, Huawei,Bao, Peng,et al. h(u)-index: a unified index to quantify individuals across disciplines[J]. SCIENTOMETRICS,2021:18. |
APA | Li, Siying,Shen, Huawei,Bao, Peng,&Cheng, Xueqi.(2021).h(u)-index: a unified index to quantify individuals across disciplines.SCIENTOMETRICS,18. |
MLA | Li, Siying,et al."h(u)-index: a unified index to quantify individuals across disciplines".SCIENTOMETRICS (2021):18. |
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