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Slides of the presentation of the paper Cioffi, A., & Peroni, S. (2022). Structured References from PDF Articles: Assessing the Tools for Bibliographic Reference Extraction and Parsing. In G. Silvello, O. Corcho, P. Manghi, G. M. Di Nunzio, K. Golub, N. Ferro, & A. Poggi (Eds.), Linking Theory and Practice of Digital Libraries - 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, Padua, Italy, September 20–23, 2022, Proceedings (pp. 425–432). https://doi.org/10.1007/978-3-031-16802-4_42, freely available at https://doi.org/10.48550/arXiv.2205.14677 at TPDL 2022.
reference extraction tools, bibliographic metadata, citation data
reference extraction tools, bibliographic metadata, citation data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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