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| Mapping and Analyzing Personal Academic Trajectory from Multiple Dimensions |
Xie Zhen1,2,3,Ma Jianxia1,2( ),Hu Wenjing1,2 |
1Northwest Institute of Eco-Environmental Resources, Chinese Academy of Sciences, Lanzhou 730000, China
2Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China
3The Library of Xi’an Fanyi University, Xi’an 710127, China |
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Abstract [Objective] This paper proposes a multi-dimensional framework for visualizing personal academic trajectories. [Methods] Guided by a timeline, we employed statistical analysis, semantic technology, and visualization tools to represent a scholar’s academic trajectory from the dimensions of research output, research theme, research context, and content evolution. [Results] We examined the proposed model with two scholars of cryosphere science. Compared with the existing tools, the proposed framework expands the dimension of data analysis and enriches the visualization. [Limitations] The data sources mainly came from scholarly articles, and other academic achievements, such as patents and projects, need further integration. Moreover, integrating multiple software tools during the mapping process requires further work. [Conclusions] This method can be used in academic profiling, scholarly evaluation, and selecting representative works, which provides a reference for integrating and analyzing personal academic achievements.
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Received: 11 April 2022
Published: 09 November 2022
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| Fund:Literature and Information Capacity Building Project of Chinese Academy of Sciences(Y8ZG071) |
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Corresponding Authors:
Ma Jianxia，ORCID：0000-0002-5401-9992，E-mail： majx@lzb.ac.cn。
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