  This paper presents a bibliographic study that analyzes works cited in as
well as works that cite NIME papers. We build on existing tools to
computationally analyze data retrieved from publicly available databases. We
present a variety of metrics, statistics, visualizations and trends aiming to
provide quantitative figures on the scholarly impact of NIME, influential
authors, related publication venues, associated fields of study, and key works
published in other venues.

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