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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