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.
Wen, Chen (57214069000); Shen, Geng (57210588222); Fang, Chenhao (58289423700); Tian, Lan (59047483200)
Insight into the research history and trends of total anomalous pulmonary venous connection: a bibliometric analysis
2024
10.1186/s13019-024-02787-8
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192898329&doi=10.1186%2fs13019-024-02787-8&partnerID=40&md5=76270ce59870e12ee17517ec383ce023
Department of Cardiothoracic Surgery, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Division of Cardiology, Peking University First Hospital, Beijing, China; Department of Neurosurgery, Shanghai Children’s Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Department of Pulmonary and Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China
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