The DOI matches its Crossref record.
Bibliographic coupling between scientific papers
Abstract
This report describes the results of automatic processing of a large number of scientific papers according to a rigorously defined criterion of coupling. The population of papers under study was ordered into groups that satisfy the stated criterion of interrelation. An examination of the papers that constitute the groups shows a high degree of logical correlation.
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Research works printed but not linked: 1
- Kessler M. M.1961.An experimental study of bibliographic coupling between technical papers.M.I.T. Report R‐1 November. (Revised June 1962. To be published in theIRE Transactions PGIT.) · DOI
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Metadata
- Authors
- Kessler, M. M.
- Venue
- American Documentation
- Publisher
- Wiley
- Published
- 1963-01
- Volume
- 14
- Issue
- 1
- Pages
- 10-25
- ISSN
- 0096-946X (ISSN-L)
- 1936-6108
- OpenAlex
- W1970859146
- Cited by
- 2,855
- References
- 0
- FWCI
- 25.91
- Type
- journal article
- Language
- en
- Open access
- closed
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.
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- CoChat. (2026). Citation check: Bibliographic coupling between scientific papers. https://app.cochat.ai/papers/10.1002/asi.5090140103
- The paper
- Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American Documentation. https://doi.org/10.1002/asi.5090140103
Data sources
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.