Discoverers in scientific citation data | |
Shi, Gui-Yuan1; Kong, Yi-Xiu1; Yuan, Guang-Hui2; Wu, Rui-Jie1; Zeng, An3; Medo, Matus1,4,5,6 | |
刊名 | JOURNAL OF INFORMETRICS
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2019-05 | |
卷号 | 13期号:2页码:717-725 |
关键词 | Citation networks Preferential attachment Microscopic mechanisms Prediction |
ISSN号 | 1751-1577 |
DOI | 10.1016/j.joi.2019.03.017 |
英文摘要 | Identifying the future influential papers among the newly published ones is an important yet challenging issue in bibliometrics. As newly published papers have no or limited citation history, linear extrapolation of their citation counts-which is motivated by the well-known preferential attachment mechanism-is not applicable. We translate the recently introduced notion of discoverers to the citation network setting, and show that there are authors who frequently cite recent papers that become highly-cited in the future; these authors are referred to as discoverers. We develop a method for early identification of highly-cited papers based on the early citations from discoverers. The results show that the identified discoverers have a consistent citing pattern over time, and the early citations from them can be used as a valuable indicator to predict the future citation counts of a paper. The discoverers themselves are potential future outstanding researchers as they receive more citations than average. (C) 2019 Elsevier Ltd. All rights reserved. |
WOS研究方向 | Computer Science ; Information Science & Library Science |
语种 | 英语 |
出版者 | ELSEVIER SCIENCE BV |
WOS记录号 | WOS:000469932800019 |
内容类型 | 期刊论文 |
源URL | [http://10.2.47.112/handle/2XS4QKH4/270] ![]() |
专题 | 上海财经大学 |
作者单位 | 1.Univ Fribourg, Dept Phys, CH-1700 Fribourg, Switzerland; 2.Shanghai Univ Finance & Econ, Fintech Res Inst, Shanghai 200433, Peoples R China; 3.Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China; 4.Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu 610054, Sichuan, Peoples R China; 5.Univ Hosp Bern, Inselspital, Dept Radiat Oncol, CH-3010 Bern, Switzerland; 6.Univ Bern, CH-3010 Bern, Switzerland |
推荐引用方式 GB/T 7714 | Shi, Gui-Yuan,Kong, Yi-Xiu,Yuan, Guang-Hui,et al. Discoverers in scientific citation data[J]. JOURNAL OF INFORMETRICS,2019,13(2):717-725. |
APA | Shi, Gui-Yuan,Kong, Yi-Xiu,Yuan, Guang-Hui,Wu, Rui-Jie,Zeng, An,&Medo, Matus.(2019).Discoverers in scientific citation data.JOURNAL OF INFORMETRICS,13(2),717-725. |
MLA | Shi, Gui-Yuan,et al."Discoverers in scientific citation data".JOURNAL OF INFORMETRICS 13.2(2019):717-725. |
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