Brain-Computer Music Interface, a bibliometric analysis

Abstract

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 7 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.