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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A global map of science based on the ISI subject categories

Open access
Leydesdorff, Loet, Rafols, Ismael·2009·Journal of the American Society for Information Science and Technology

Abstract

The decomposition of scientific literature into disciplinary and subdisciplinary structures is one of the core goals of scientometrics. How can we achieve a good decomposition? The ISI subject categories classify journals included in the Science Citation Index (SCI). The aggregated journal‐journal citation matrix contained in the Journal Citation Reports can be aggregated on the basis of these categories. This leads to an asymmetrical matrix (citing versus cited) that is much more densely populated than the underlying matrix at the journal level. Exploratory factor analysis of the matrix of subject categories suggests a 14‐factor solution. This solution could be interpreted as the disciplinary structure of science. The nested maps of science (corresponding to 14 factors, 172 categories, and 6,164 journals) are online at http://www.leydesdorff.net/map06. Presumably, inaccuracies in the attribution of journals to the ISI subject categories average out so that the factor analysis reveals the main structures. The mapping of science could, therefore, be comprehensive and reliable on a large scale albeit imprecise in terms of the attribution of journals to the ISI subject categories.

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Metadata

Authors
Leydesdorff, L., & Rafols, I.
Venue
Journal of the American Society for Information Science and Technology
Publisher
Wiley
Published
2008-10-03
Volume
60
Issue
2
Pages
348-362
ISSN
  • 1532-2882 (ISSN-L)
  • 1532-2890
OpenAlex
W2951923752
Cited by
506
References
3
FWCI
25.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A global map of science based on the ISI subject categories. https://app.cochat.ai/papers/10.1002/asi.20967
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Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology. https://doi.org/10.1002/asi.20967

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.