ANALISIS BIBLIOMETRIKA PADA ARTIKEL JURNAL PSIKODIMENSIA TAHUN 2018-2022 DENGAN VISUALISASI MENGGUNAKAN SOFTWARE VOSVIEWER

Melania Adirati, Vivi Aprillia Susianti, Angelia Selma Ananda
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Abstract

This study discusses the bibliometric mapping of scientific publications in the Journal of Pikodimensia for the period of 2018 to 2022, using VOSviewer software. The aim of this study is to determine author productivity, author collaboration patterns, research topic development based on keywords, and the development of collaborative networks among authors. The method used in this study is a qualitative descriptive approach with bibliometric analysis using VOSviewer. The results of this study indicate that collaboratively written articles are more common than individual articles. Nine authors were found to collaborate with each other, while the two most productive authors were Lucia Hernawati and Jemerson Naceno Domiguez. In addition, the keywords that frequently appear in the abstracts are Covid-19 and resilience
本研究利用VOSviewer软件,对《Pikodimensia Journal of Pikodimensia》2018 - 2022年的科学出版物进行文献计量制图。本研究的目的是确定作者生产力、作者协作模式、基于关键词的研究主题发展以及作者之间协作网络的发展。本研究使用的方法是使用VOSviewer进行文献计量分析的定性描述方法。本研究结果显示,合作撰写的文章比个人撰写的文章更常见。9位作家被发现相互合作,而两位最多产的作家是露西娅·埃尔纳瓦蒂和杰默生·纳西诺·多米格斯。此外,在摘要中经常出现的关键词是Covid-19和复原力
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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