A Visualized Analysis of Scientific Research Evaluation in Colleges and Universities Based on the Scientific Knowledge Mapping
- DOI
- 10.2991/978-94-6463-262-0_96How to use a DOI?
- Keywords
- Scientific research evaluation; Knowledge mapping; Research hot spots; CiteSpace
- Abstract
Scientific research evaluation is the baton of scientific and technological innovation. Researches mostly focus on visualized analysis of scientific research management, and lack of visualized analysis of scientific evaluation in colleges and universities. Based on the knowledge mapping visualized analysis of CiteSpace and statistical analysis methods, a quantitative analysis is conducted on the research of core journals, CSSCI and CSCD in CNKI about scientific research evaluation in colleges and universities from January 1992 to July 2023. In order to promote innovation and development in subsequent research, the main force, hot spots and trends of scientific research evaluation in colleges and universities is firstly explored and then we form a holistic understanding about scientific research evaluation in colleges and universities. In this paper, we also find that performance appraisal, indicator system and evaluation system are the hot spots, research on scientific evaluation is becoming increasingly refined and scientific.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hong Liu AU - Xiaoyan Huang AU - Junwei Duan PY - 2023 DA - 2023/10/09 TI - A Visualized Analysis of Scientific Research Evaluation in Colleges and Universities Based on the Scientific Knowledge Mapping BT - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023) PB - Atlantis Press SP - 930 EP - 939 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-262-0_96 DO - 10.2991/978-94-6463-262-0_96 ID - Liu2023 ER -