Issue |
E3S Web Conf.
Volume 328, 2021
International Conference on Science and Technology (ICST 2021)
|
|
---|---|---|
Article Number | 04018 | |
Number of page(s) | 7 | |
Section | Information System, Big Data, Design Application, IOT | |
DOI | https://doi.org/10.1051/e3sconf/202132804018 | |
Published online | 06 December 2021 |
Research trend on erbium-doped tellurite glasses based on scopus database
1 Physics Department, Faculty of Mathematics and Natural Sciences, Universitas Negeri Surabaya, Indonesia
2 Physics Department, Faculty of Mathematics and Natural Sciences, Sebelas Maret University, Indonesia
* Corresponding author : mukhayyarotinjauhariyah@unesa.ac.id
This paper aims to analyse the research trend of erbium-doped tellurite glasses. To this aim, this paper applied bibliometric analysis. The comprehensive research document on the topic of erbium-doped tellurite glasses in the Scopus database is 695 documents. The result revealed that scientific publication on erbium-doped tellurite glasses has been increasing. China contributed the most documents on erbium-doped tellurite glasses. The visualization of the research trend on erbium-doped tellurite glasses assisted with VOSviewer software and resulted in four primary clusters: (1) the red cluster show the keywords about the synthesized and fabrication, (2) the blue cluster show the keywords about the characterization, (3) the green cluster show the user or the application of the glass with each characteristic of materials, (4) the yellow cluster show the way to analyse energy based on the parameters owned by erbium-doped tellurite glasses. The research findings are the networking of the keywords on the research of erbium doped tellurite glasses in all clusters. It means that this research is comprehend knowledge and need to be more investigate to further research.
Key words: Bibliometric analysis / Erbium-doped tellurite glasses / VOSviewer
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.