Artículo

Brain-Computer Music Interface, a bibliometric analysis

Resumen

This article depicts a bibliometric analysis done through visualization mechanisms and interpretation of bibliometric metadata on the research field of Brain-Computer Interface and Music or Brain-Computer Music Interface (BCMI). Citation, co-citation, co-authorship, and keywords co-occurrence analysis were carried out in this work in order to identify the intellectual structure, research trends, the organizations involved, and the methodological structure of such research field. The bibliometric metadata was visualized through VOSviewer and Scimat software. This study also includes the analysis of 227 papers done through 2005-2021 which include research and review articles, and proceedings papers. The results of this work demonstrate the growing and legitimizing of the research field, and the impact of the interdisciplinary work required in this area.
Chu, Jia-Hao (58652064200); Zhang, Yang (59275995800); Jiang, Yi (59275427500); Wu, Hai-Fan (58865154200); Wang, Wen-Yi (57981081700); Wang, Min (59273744700); Zhang, Jia-Hui (59277108500); Yan, Kun (58356697700); Yao, Xin-Miao (57191572467)
Research trends of bone tumor treatment with 3D printing technology from 2013 to 2022: a bibliometric analysis
2024
10.1007/s12672-024-01207-6
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201527415&doi=10.1007%2fs12672-024-01207-6&partnerID=40&md5=e5f617e21df8936c2dd8efe244b87712
Third Clinical College, Zhejiang Chinese Medical University, Hangzhou, China; Zhejiang Chinese Medical University’s Third Affiliated Hospital, Hangzhou, China
All Open Access; Gold Open Access
Scopus
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