Bibliometric Analysis of NIME References and Citations
Stefano Fasciani

TL;DR
This paper conducts a comprehensive bibliometric analysis of NIME publications, examining references and citations to reveal scholarly trends, connections, and provide recommendations for future research directions.
Contribution
It introduces a computational approach to analyze NIME references and citations, offering new insights and tools for the community's bibliometric studies.
Findings
Quantitative insights into NIME's scholarly connections
Identification of key fields and authors related to NIME
Recommendations for future research directions
Abstract
This paper presents a bibliometric analysis that examines the works cited in, as well as those citing, NIME papers; for brevity, we refer to these as `references` and `citations`. Utilizing existing tools, we have computationally extracted data from the NIME proceedings archive and retrieved metadata from an academic database, including details of associated references and citations. From this data, we computed a range of metrics and statistics, which we present in this paper. We offer quantitative insights into NIME as a scholarly publication venue, its connections to other venues, and its relationship with various fields of study and authors. Based on our data interpretations, we provide several recommendations for the community's future. In sharing the software we developed for this study, and the summarized raw data, we enable other NIME researchers to conduct more in-depth…
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Taxonomy
TopicsData Visualization and Analytics · Complex Network Analysis Techniques
