To read this content please select one of the options below:

Bibliometric analysis for talent identification by the subject–author–citation three-dimensional evaluation model in the discipline of physical education

Yingying Zheng (Graduate Institute of Physical Education, National Taiwan Sport University, Kweishan, Taiwan) (College of Physical Education, Wenzhou University, Wenzhou, China)
Shuang Liu (College of Physical Education, Jinggangshan University, Ji'an, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 27 April 2020

Issue publication date: 14 February 2022




In order to solve the current imbalance of academic resources within the discipline, this article builds a three-dimensional talent evaluation model based on the topic–author–citation based on the z index and proposes the ZAS index to evaluate scholars on different research topics within the discipline.


Based on the sample data of the CSSCI journals in the discipline of physical education in the past five years, the keywords were classified into 13 categories of research topics including female sports. The ZAS index of scholars on topic of female sports and so on was calculated, and quantitative indexes such as h index p index and z index were calculated. Comparative analysis of the evaluation effect was performed.


It is found that compared with the h index and p index, the z index achieves a better balance between the quantity, quality and citation distribution of scholars' results and effectively recognizes that the citation quality is higher and the number of citations of each paper is more balanced. In addition, compared to the z index, this article is based on a ZAS index model with an improved three-dimensional topic–author–citation relationship in research fields such as female sports.


It can identify some outstanding scholars who are engaged in small-scale or emerging topic research such as female sports and are excellent in different research areas. Talents create an objective and fair evaluation environment. At the same time, the ranking ability of ZAS indicators in the evaluation of talents is the strongest, and it is expected to be used in practical evaluations.



This paper forms part of a special section “Informetrics on Social Network Mining: Research, Policy and Practice challenges - Part 2”, guest edited by Mu-Yen Chen, Chien-Hsiang Liao, Edwin David Lughofer and Erol Egrioglu.


Zheng, Y. and Liu, S. (2022), "Bibliometric analysis for talent identification by the subject–author–citation three-dimensional evaluation model in the discipline of physical education", Library Hi Tech, Vol. 40 No. 1, pp. 62-79.



Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

Related articles