Construction of portrait model of core professional researchers in the technical field and analysis of their research topics
作者机构：Institute for Big Data ScienceTianjin Normal UniversityTianjinChina School of Economics and ManagementNanjing University of Science&TechnologyNanjingChina
出 版 物：《Data Science and Informetrics》 (数据科学与信息计量学（英文）)
年 卷 期：2023年第3卷第1期
页 面：65-81页
学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：support from the National Social Science Fund of China(16ZDA224)。
主 题：Portrait of core researchers Identification of core researchers Research topics Artificial Intelligence
摘 要：In order to support scientific evaluation and decision-making,this paper characterizes and identifies core researchers and their research topics by modeling the portrait of core researchers in technical fields.In this paper,we constructed a portrait model of core researchers,explained the information attributes and their label data in each dimension of the portrait.Selected six identification indicators that can be measured,used the CRITIC method and gray correlation method to determine the weight coefficient and comprehensive score of the index,and designed quantitative identification methods for core researchers using Price s calculation formula and golden section coefficient.Took the field of artificial intelligence as an example for empirical analysis and result verification,selected representative core researchers to track the changes of research topics at the two levels of their teams and individuals,and characterize them based on the portrait model.
维普期刊数据库