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Prediction model of future academic impact for young scientists
Tongqi, Wei1; Jingjing, Lu2; Zongying, Tan3
2017
Conference Name16th International Conference on Scientometrics and Informetrics, ISSI 2017
Correspondent Emailweitq@psych.ac.cn
Source PublicationISSI 2017 - 16th International Conference on Scientometrics and Informetrics, Conference Proceeding
Conference DateOctober 16, 2017 - October 20, 2017
Conference PlaceWuhan, China
PublisherInternational Conference on Scientometrics and Informetrics
Abstract

Previous studies focused on the characteristics of elicit scientists, or the early identification of high-potential scientists, but neglected career development research of ordinary young scientists. Using scientometrics and CV methods, the present study aims to establish statistic models in order to explore young scientists' career development, and predict their future academic impact. Predictors at 2009 were divided into four categories: publication indicators, scholar relationship indicators, scholar relationship indicators and research theme indicators, and these indicators were used to predict h-index at 2014. Predictive models were established separately in each category using stepwise regression, and finally a comprehensive model was built. Our result shows that hindex and total number of paper published could significantly predict scientific impact in the future. To improve academic impact, young scientists need to carry out extensive cooperation and play a key role in the cooperation, need to have the research experience in developed countries, and to reduce their research specialization.

KeywordCareer development Comprehensive model Prediction model Research experience Stepwise regression
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/25724
Collection支撑系统
Corresponding AuthorTongqi, Wei; Zongying, Tan
Affiliation1.Institute of Psychology, Chinese Academy of Science, Beijing, China
2.People's Public Security University of China, Beijing, Chin
3.National Science Library, Chinese Academy of Science, Beijing, China
Recommended Citation
GB/T 7714
Tongqi, Wei,Jingjing, Lu,Zongying, Tan. Prediction model of future academic impact for young scientists[C]:International Conference on Scientometrics and Informetrics,2017.
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