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Cited by 175

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Citation indexes in sociological and historical research

Garfield, Eugene·1963·American Documentation

Abstract

The use of citation data in the computer construction of historical network diagrams is proposed. A new “critical path method” of evaluating the impact of individual scientific discoveries is described as well as a “critical impact” factor which measures the arborization of specific papers or ideas through the subsequent literature. The danger of indiscriminate. unqualified use of quantitative citation data in sociological evaluations is emphasized. However, citation indexes do make thorough qualitative evaluations possible by providing a practical tool for locating subsequent criticisms of particular papers by specified authors.

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Metadata

Authors
Garfield, E.
Venue
American Documentation
Publisher
Wiley
Published
1963-10
Volume
14
Issue
4
Pages
289-291
ISSN
  • 0096-946X (ISSN-L)
  • 1936-6108
OpenAlex
W2172212846
Cited by
175
References
0
FWCI
8.64
Type
journal article
Language
en
Open access
closed

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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.

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CoChat. (2026). Citation check: Citation indexes in sociological and historical research. https://app.cochat.ai/papers/10.1002/asi.5090140405
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Garfield, E. (1963). Citation indexes in sociological and historical research. American Documentation. https://doi.org/10.1002/asi.5090140405

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.