| Issue |
E3S Web Conf.
Volume 450, 2023
International Conference on SDGs and Bibliometric Studies (ICoSBi 2023)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 8 | |
| Section | Earth and Environmental Sciences | |
| DOI | https://doi.org/10.1051/e3sconf/202345001009 | |
| Published online | 29 November 2023 | |
Bibliometric analysis of Mosquito population research peaks
1 Biology, State University of Surabaya, Surabaya, Indonesia
2 Veterinary Medicine, Airlangga University, Surabaya, Indonesia
3 Mathematics, Surabaya State University, Surabaya, Indonesia
4 Graduate Institute of Digital Learning and Education, National Taiwan University of Science and Technology, Taipei, Taiwan
* Corresponding author: winarsih@unesa.ac.id
Research regarding the topic of mosquito population has been on the rise in the last 13 years, and because of that, it is an interesting topic to analyze the trends and growth of. This paper aims to analyze research papers and journals, then visualize research trends on the topic of mosquito population in the last 13 years and identify potential research topics related to mosquito population for future research. The method of this study uses a literature review and bibliometric analysis using Google Scholar, DBLP, and VOSviewer databases, in which 999 documents were collected. The results illustrate that mosquito population research has been on the rise gradually, reaching its peak in 2020 and showing a decline afterwards. The author with the highest contribution is Giovanni Belleni, and the most common type of document is a research paper. More research regarding mosquito populations can be used to analyze the transmission of diseases and the effects of climate change. This study is limited in its scope because most of the data was obtained through Google Scholar and DBLP without thorough filtering. Hence, it is recommended for future research to go through additional steps to filter more of the obtained data.
© The Authors, published by EDP Sciences, 2023
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.
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