[Purpose/significance] The purpose of this study is to use the h-index analysis as an example to dynamically track and monitor the influence of scholars, and explore a new prediction-oriented service model based on dynamic data integration. [Method/process] By analyzing the dynamic characteristics of the data and the combination characteristics of the model, the dynamic citation data of two groups of research teams at home and abroad were integrated to analyze the development and trend of h-index of the research team and staff. [Result/conclusion] The h-index growth pattern of every member in the team varies, and there is a need to combine member tenure, h-index growth rate and other data to fix their roles in the team. Furthermore, the effects of different h-index changes in the scientific research management are summarized.
Zhang Lin
,
Dong Ying
,
Bi Deqiang
,
Tu Hongqing
,
Chen Jing
. H-index Trend Monitoring and Analysis of Scholars' Influence Based on Dynamic Data Integration[J]. Library and Information Service, 2017
, 61(17)
: 116
-121
.
DOI: 10.13266/j.issn.0252-3116.2017.17.015
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