Mapping the Landscape of Autism Research: A Scientometric Review (2011-2023)

被引:0
|
作者
Mahajan, Pratibha [1 ]
Patil, Deven [1 ]
Nair, Nidhi [1 ]
Musmade, Nishant [1 ]
Apte, Preet [1 ]
机构
[1] Vishwakarma Univ, Dept Artificial Intelligence, Pune, India
关键词
autism; autism spectrum disorder (ASD); network visualization; Scientometric analysis; Scopus; VOSViewer;
D O I
10.1002/jdn.10406
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This scientometric analysis maps the landscape of autism spectrum disorder (ASD) research between 2011 and 2023. By exploring patterns in publication growth, geographic distribution and institutional involvement, this study highlights evolving research themes, key contributors and collaborative networks. Our findings reveal a marked rise in ASD publications, particularly from 2020 onwards, with the United States, United Kingdom and China leading in contributions and collaborations. Scientometric analysis identifies a shift towards advanced machine learning techniques and neuroimaging in ASD studies, reflecting technological integration in research. Institutional analysis uncovers Vanderbilt University and Yale University as major contributors, with significant citation impacts across their publications. Furthermore, prominent funding sources, including the National Institutes of Health, underscore the critical role of funding in shaping research priorities. This comprehensive scientometric overview not only consolidates current knowledge but also serves as a resource to inform future research directions, enhancing interdisciplinary approaches to ASD understanding and intervention.
引用
收藏
页数:14
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