论文类型：期刊论文

第一作者：Liang, Liming

通讯作者：Zhong, Zhen,陈悦

发表时间：2021-07-07

发表刊物：SCIENTOMETRICS

文献类型：J

卷号：126

期号：7,SI

页面范围：6169-6186

ISSN号：0138-9130

关键字：Citation rhythm indicator; Compound rhythm indicator; Scientist's academic career rhythm; Professor Zeyuan Liu; Whole counting; Fractional counting

摘要：The famous Chinese scientist Professor Zeyuan Liu passed away on February 8, 2020, aged 80. He was a productive and influential scientist, both in quantitative and in qualitative studies. To cherish the memory of Professor Liu and in praise of his scientific thoughts and scientific spirit, we explored his academic career rhythm based on our rhythm indicator of science. The rhythm indicator is created based on a publication-citation matrix, eliminating the impact of length of citation windows, making citations comparable for different years. In Liu's rhythm study the publication indicator and citation indicator are combined. Data were retrieved from China National Knowledge Infrastructure and WoS. The most important finding is that Liu's academic career rhythm is totally different from that of two famous western scientists T. Braun and R. Rousseau. Because of the delayed scientific research by China's Cultural Revolution, it was only in 1979 that Liu published his first scientific paper and launched his academic career. In the first 20 years he published 41 papers, mostly single-authored. Their research topics were scattered and mainly used qualitative methods. In 1999 Liu changed his research paradigm from qualitative to quantitative studies, focusing on scientometrics, citation analysis and knowledge mapping. New topics, new methods and multi-authored collaboration greatly increased his productivity (293 articles) and influence. The above exploration is based on both whole counting of publications/citations and fractional counting. Three problems, including the normalization of the p-c matrix, are discussed. The rhythm indicator of science is a contribution to the evaluation methodology for scientist-level and journal-level scientific impact.

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