On Analysis and Prediction of Universities’ Research Competitiveness Using Scientometrics Methods

DOI

10.2991/erms-18.2018.72How to use a DOI?

Keywords

Research competitiveness, Universities, Scientometrics

Abstract

How universities make decisions based on scientific and technological information and allocate resources effectively is an important guarantee to promote the construction of "Double First-rate" in China. Based on Pearson correlation and least squares linear fitting, this paper compares, analyzes and predicts the competitiveness of scientific research of ESI universities in Shandong province. The results show that A University has an absolute advantage in quantity, quality and total citations; also, A University, F University and B University have better performance in citation impact than the rest; and Web of Science documents quantity and H-index have a strong correlation with total citations; C University, E University and D University would possibly outperform B University in annual publications in WoS in 2020. The results of this study will help the universities in Shandong to grasp the orientation and trend of the research competitiveness, and further optimize the policy guidance and scientific research management, thus effectively promote the development of universities.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Zhang
AU  - Yan-shuo Zhu
AU  - Man Wu
AU  - Xiao-mei Zhou
AU  - Xiao-chuan Yin
AU  - Guang-xu Li
AU  - Yu-tao Zhao
AU  - Kang Sun
PY  - 2018/04
DA  - 2018/04
TI  - On Analysis and Prediction of Universities’ Research Competitiveness Using Scientometrics Methods
BT  - Proceedings of the 2018 International Conference on Education Reform and Management Science (ERMS 2018)
PB  - Atlantis Press
SP  - 405
EP  - 410
SN  - 2352-5398
UR  - https://doi.org/10.2991/erms-18.2018.72
DO  - 10.2991/erms-18.2018.72
ID  - Zhang2018/04
ER  -