The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Formal concept analysis in information science
Overview
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Citations
Cites
Ambrose, A., Wittgenstein, L., & Anscombe, G. E. M. (1954) · Philosophy and Phenomenological Research · doi:10.2307/2103745 · Cited by 12,192
Rosch, E. H. (1973) · Cognitive Psychology · doi:10.1016/0010-0285(73)90017-0 · Cited by 2,401
Furnas, G. W. (1986) · ACM SIGCHI Bulletin · doi:10.1145/22339.22342 · Cited by 1,629
Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts
Wille, R. (1982) · Ordered Sets · doi:10.1007/978-94-009-7798-3_15 · Cited by 1,620
Boole, G. (1854) · The MIT Press eBooks · doi:10.5962/bhl.title.29413 · Cited by 1,312
Dumais, S. T. (2004) · Annual Review of Information Science and Technology · doi:10.1002/aris.1440380105 · Cited by 1,107
Concepts and conceptual structure.
Medin, D. L. (1989) · American Psychologist · doi:10.1037/0003-066x.44.12.1469 · Cited by 1,102
External cognition: how do graphical representations work?
Scaife, M., & Rogers, Y. (1996) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1996.0048 · Cited by 1,066
Automatic information organization and retrieval
Salton, G. (1968) · Medical Entomology and Zoology · Cited by 920
(1993) · doi:10.1609/aimag.v14i1.1029 · Cited by 721
Cited by
Sentiment analysis algorithms and applications: A survey
Medhat, W., Hassan, A., & Korashy, H. (2014) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2014.04.011 · Cited by 3,248
Zhang, G., Ding, Y., & Milojević, S. (2013) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.22850 · Cited by 169
The design of reciprocal learning between human and artificial intelligence
Zagalsky, A., Te'eni, D., Yahav, I., Schwartz, D. G., Silverman, G., Cohen, D., Mann, Y., & Lewinsky, D. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3479587 · Cited by 35
Lee, H., Lee, G.-C., & Koo, H.-Y. (2024) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2024.100191 · Cited by 23
Metadata
- Authors
- Priss, U.
- Venue
- Annual Review of Information Science and Technology
- Publisher
- Wiley
- Published
- 2006-01
- Volume
- 40
- Issue
- 1
- Pages
- 521-543
- ISSN
- 0066-4200 (ISSN-L)
- 1550-8382
- OpenAlex
- W4251302245
- Cited by
- 303
- References
- 19
- FWCI
- 18.11
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Formal concept analysis in information science. https://app.cochat.ai/papers/10.1002/aris.1440400120
- The paper
- Priss, U. (2006). Formal concept analysis in information science. Annual Review of Information Science and Technology. https://doi.org/10.1002/aris.1440400120
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.
