Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)

Mapping Academic Landscape of PSVT: R Based on VOSviewer: A Bibliometric Analysis

Authors
Weizhi Yang1, Chowwalit Chookhampaeng2, Jiraporn Chano2, *, Yunhua Ding3
1School of Physics and Electronic Engineering, Jiaying University, Meizhou, China
2Faculty of Education, Mahasarakham University, Mahasarakham, Thailand
3Faculty Education Development Center, Jiaying University, Meizhou, China
*Corresponding author. Email: jiraporn.j@msu.ac.th Email: 149609043@qq.com
Corresponding Author
Jiraporn Chano
Available Online 27 December 2024.
DOI
10.2991/978-2-38476-346-7_7How to use a DOI?
Keywords
spatial ability; PSVT: R; bibliometric analysis; VOSviewer; collaboration networks
Abstract

Spatial ability, a fundamental aspect of human cognition, has been the focus of extensive research, particularly within the Purdue Spatial Visualization Test: Rotations (PSVT: R) framework. This study employs bibliometric analysis to explore the landscape of PSVT: R application research, aiming to address concerns regarding its efficacy, particularly within design disciplines. Through meticulous examination of literature trends, author connections, and scientific output, key insights are revealed. The analysis encompasses 126 articles from Scopus, representing 26 countries and involving 254 authors from 230 organizations. Findings indicate a steady increase in publications, with the United States leading in both production and citations. Collaboration networks among authors and institutions, as well as thematic clusters in keywords, shed light on the evolving research landscape. While the study provides valuable insights, limitations exist in data collection and analysis, suggesting avenues for future research to further enrich understanding and inform decision-making in spatial ability research.

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.

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Volume Title
Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
27 December 2024
ISBN
978-2-38476-346-7
ISSN
2352-5398
DOI
10.2991/978-2-38476-346-7_7How to use a DOI?
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  - Weizhi Yang
AU  - Chowwalit Chookhampaeng
AU  - Jiraporn Chano
AU  - Yunhua Ding
PY  - 2024
DA  - 2024/12/27
TI  - Mapping Academic Landscape of PSVT: R Based on VOSviewer: A Bibliometric Analysis
BT  - Proceeding of the 2024 International Conference on Diversified Education and Social Development (DESD 2024)
PB  - Atlantis Press
SP  - 40
EP  - 54
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-346-7_7
DO  - 10.2991/978-2-38476-346-7_7
ID  - Yang2024
ER  -