现代情报2026，Vol.46Issue(1)：151-161,11.DOI:10.3969/j.issn.1008-0821.2026.01.013
分类评价视角下学者研究优势识别与评价研究
Research on the Identification and Evaluation of Scholars'Research Strengths From the Perspective of Classification Evaluation
摘要
Abstract
[Purpose/Significance]Against the backdrop of the reform of the national science and technology innova-tion system,this study proposes a novel talent evaluation method integrating research topics,scholarly contributions,and the z-index to address the demands for classified,multidimensional,and comprehensive talent evaluation in scientific and technological fields.[Method/Process]First,the Word2vec model and the k-means algorithm were employed to conduct topic clustering of keywords in the field of discipline,and different research topics were identified.Then,a three-dimensional relationship data of topic-scholar-citation was constructed.Finally,the average weight of keywords per article and the co-authorship weight were incorporated into the z-index to construct the improved ZAK index.[Result/Conclusion]Through empirical analysis,the ZAK index significantly enhances evaluation differentiation and fairness by incorporating per-article keyword weighting and author collaboration weighting while preserving the consistency of traditional metrics.This method can not only effectively identify outstanding talents in specific fields but also discover excellent scholars engaged in small-scale or emerging topic research,providing a scientific and objective evaluation method for the identifica-tion of outstanding talents,serving the reform of the national science and technology system,and promoting academic exchanges and knowledge innovation.关键词
人才评价/z指数/主题聚类/分类评价/合著权重/学者贡献/研究优势/识别Key words
talent evaluation/z-index/thematic clustering/categorized evaluation/co-authorship weights/scho-larly contribution/research strengths/identification分类
社会科学引用本文复制引用
刘运梅,秦佳佳,杨佳倩..分类评价视角下学者研究优势识别与评价研究[J].现代情报,2026,46(1):151-161,11.基金项目
国家自然科学基金青年项目"基于全文本引文解构的引用失范行为识别与生成机理研究"(项目编号:72304181) （项目编号:72304181）
国家智能评价与治理实验基地2024年创新评价开放基金. （）
