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Author cocitation: A literature measure of intellectual structure
Abstract
It is shown that the mapping of a particular area of science, in this case information science, can be done using authors as units of analysis and the cocitations of pairs of authors as the variable that indicates their “distances” from each other. The analysis assumes that the more two authors are cited together, the closer the relationship between them. The raw data are cocitation counts drawn online from Social Scisearch (Social Sciences Citation Index) over the period 1972–1979. The resulting map shows (1) identifiable author groups (akin to “schools”) of information science, (2) locations of these groups with respect to each other, (3) the degree of centrality and peripherality of authors within groups, (4) proximities of authors within group and across group boundaries (“border authors” who seem to connect various areas of research), and (5) positions of authors with respect to the map's axes, which were arbitrarily set spanning the most divergent groups in order to aid interpretation. Cocitation analysis of authors offers a new technique that might contribute to the understanding of intellectual structure in the sciences and possibly in other areas to the extent that those areas rely on serial publications. The technique establishes authors, as well as documents, as an effective unit in analyzing subject specialties.
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Research works printed but not linked: 9
- 10.1002/asi.4630240406 · DOI · Paper page
- 10.1177/030631277400400102 · DOI · Paper page
- 10.1177/030631277400400402 · DOI · Paper page
- 10.1002/asi.4630320103 · doi:10.1002/asi.4630320103
- Griffith B. C., 1980, Key Papers in Information Science
- 10.1007/BF02289565 · DOI · Paper page
- 10.1007/BF02289694 · DOI · Paper page
- Nie N. H, 1975, SPSS: Statistical Package for the Social Sciences
- 10.1007/BF02289588 · DOI · Paper page
Cited by
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064
Bibliometric Methods in Management and Organization
Zupic, I., & Čater, T. (2015) · Organizational Research Methods · doi:10.1177/1094428114562629 · Cited by 7,495
Ramos‐Rodríguez, A., & Ruíz‐Navarro, J. (2004) · Strategic Management Journal · doi:10.1002/smj.397 · Cited by 1,626
Constructing bibliometric networks: A comparison between full and fractional counting
Perianes-Rodriguez, A., Waltman, L., & van Eck, N. J. (2016) · Journal of Informetrics · doi:10.1016/j.joi.2016.10.006 · Cited by 1,416
Visualizing a discipline: An author co‐citation analysis of information science, 1972–1995
White, H. D., & McCain, K. W. (1998) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(19980401)49:4<327::aid-asi4>3.0.co;2-w · Cited by 1,257
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Metadata
- Authors
- White, H. D., & Griffith, B. C.
- Venue
- Journal of the American Society for Information Science
- Publisher
- Wiley
- Published
- 1981-05
- Volume
- 32
- Issue
- 3
- Pages
- 163-171
- ISSN
- 0002-8231 (ISSN-L)
- 1097-4571
- OpenAlex
- W1966538856
- Cited by
- 1,220
- References
- 0
- FWCI
- 14.65
- 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: Author cocitation: A literature measure of intellectual structure. https://app.cochat.ai/papers/10.1002/asi.4630320302
- The paper
- White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science. https://doi.org/10.1002/asi.4630320302
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.