Some Modifications to the SNIP Journal Impact Indicator
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The citing-side subject normalization approach was determined as being the most objective and appropriate for field normalization, when compared to normalization based on predefined subject classification schemes, especially in the case of multidisciplinary journals.
“For instance, the citing-side subject normalization approach was determined as being the most objective and appropriate for field normalization, when compared to normalization that is based on predefined subject classification schemes, especially in the case of multidisciplinary journals [180,185,235].”
From Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World (2021) · cites this paper as [235]
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Flagged first, then by citations
Cited by
Sorted by citations
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- Authors
- Waltman, L., van Eck, N. J., van Leeuwen, T. N., & Visser, M. S.
- Affiliations
- Leiden University (NL)
- Corresponding author
- Waltman, Ludo
- Venue
- Journal of Informetrics
- Publisher
- Elsevier BV
- Published
- 2013-04
- Volume
- 7
- Issue
- 2
- Pages
- 272-285
- ISSN
- 1751-1577 (ISSN-L)
- OpenAlex
- W2049076011
- Cited by
- 191
- References
- 24
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 8 · 2023: 13 · 2022: 6 · 2021: 16 · 2020: 18 · 2019: 19 · 2018: 13 · 2017: 24 · 2016: 20 · 2015: 19 · 2014: 9 · 2013: 13
- FWCI
- 22.44
- Type
- journal article
- Language
- en
- Open access
- Locations
- Journal of Informetrics (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Physical Sciences › Computer Science › Information Systems › Web visibility and informetrics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Keywords
- SNIP, Source Normalized Impact per Paper, journal impact indicators, citation impact, field normalization, citation practices, Scopus, bibliometric analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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