Bibliometric Analysis of NIME References and Citations
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866912142065664000 |
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| author | Fasciani, Stefano |
| author_facet | Fasciani, Stefano |
| contents | 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 investigations and examine specific trends. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_02330 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Bibliometric Analysis of NIME References and Citations Fasciani, Stefano Digital Libraries 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 investigations and examine specific trends. |
| title | Bibliometric Analysis of NIME References and Citations |
| topic | Digital Libraries |
| url | https://arxiv.org/abs/2307.02330 |