The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Multidimensional Fechnerian Scaling: Perceptual Separability
Overview
Integrity signals
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Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In advanced COPD, elevated CRP levels are associated with impaired energy metabolism and reduced exercise capacity [5].”
From ‘Call security': locks, risk, privacy and autonomy in long-term residential care (2017) · cites this paper as [5]
Citations
Cites
Toward a Universal Law of Generalization for Psychological Science
Shepard, R. N. (1987) · Science · doi:10.1126/science.3629243 · Cited by 2,416
The Processing of Information and Structure
Royer, F. L., & Garner, W. R. (1974) · The American Journal of Psychology · doi:10.2307/1421985 · Cited by 2,117
The processing of information and structure
(1974) · Behavior Therapy · doi:10.1016/s0005-7894(74)80071-7 · Cited by 936
Varieties of perceptual independence.
Ashby, F. G., & Townsend, J. T. (1986) · Psychological Review · doi:10.1037//0033-295x.93.2.154 · Cited by 721
A vector-magnitude model of contrast detection
Quick, R. F. (1974) · Kybernetik · doi:10.1007/bf00271628 · Cited by 704
Toward a unified theory of similarity and recognition.
Ashby, F. G., & Perrin, N. (1988) · Psychological Review · doi:10.1037/0033-295x.95.1.124 · Cited by 394
Foundations of multidimensional scaling.
Beals, R., Krantz, D. H., & Tversky, A. (1968) · Psychological Review · doi:10.1037/h0025470 · Cited by 247
The dimensional representation and the metric structure of similarity data
Tversky, A., & Krantz, D. H. (1970) · Journal of Mathematical Psychology · doi:10.1016/0022-2496(70)90041-6 · Cited by 136
Fechnerian metrics in unidimensional and multidimensional stimulus spaces
Dzhafarov, E. N., & Colonius, H. (1999) · Psychonomic Bulletin & Review · doi:10.3758/bf03212329 · Cited by 62
Self-citationSeparability and Independence of Dimensions within the Same–Different Judgment Task
Thomas, R. D. (1996) · Journal of Mathematical Psychology · doi:10.1006/jmps.1996.0032 · Cited by 42
Multidimensional Fechnerian Scaling: Basics
Dzhafarov, E. N., & Colonius, H. (2001) · Journal of Mathematical Psychology · doi:10.1006/jmps.2000.1341 · Cited by 35
Self-citationMultidimensional Fechnerian Scaling: Regular Variation Version
Dzhafarov, E. N. (2002) · Journal of Mathematical Psychology · doi:10.1006/jmps.2001.1385 · Cited by 18
Self-citationMultidimensional Fechnerian Scaling: Probability-Distance Hypothesis
Dzhafarov, E. N. (2002) · Journal of Mathematical Psychology · doi:10.1006/jmps.2001.1382 · Cited by 18
Self-citationDzhafarov, E. N., & Rouder, J. N. (1996) · Journal of Mathematical Psychology · doi:10.1006/jmps.1996.0003 · Cited by 12
Self-citation
Cited by
Tufford (2017) · doi:10.1007/s · Cited by 2,003
Metadata
- Authors
- Dzhafarov, E. N.
- Venue
- Journal of Mathematical Psychology
- Publisher
- Elsevier BV
- Published
- 2002-10
- Volume
- 46
- Issue
- 5
- Pages
- 564-582
- ISSN
- 0022-2496
- Cited by
- 11
- References
- 14
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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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.
