The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Topology representing networks
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Citations
Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
Self-organized formation of topologically correct feature maps
Kohonen, T. (1982) · Biological Cybernetics · doi:10.1007/bf00337288 · Cited by 9,529
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
Gray, R. M. (1990) · Readings in Speech Recognition · doi:10.1016/b978-0-08-051584-7.50011-5 · Cited by 2,845
Multiple Representations of the Body Within the Primary Somatosensory Cortex of Primates
Kaas, J. H., Nelson, R. J., Sur, M., Lin, C.-S., & Merzenich, M. M. (1979) · Science · doi:10.1126/science.107591 · Cited by 710
Cited by
Nonlinear Dimensionality Reduction by Locally Linear Embedding
Roweis, S. T., & Saul, L. K. (2000) · Science · doi:10.1126/science.290.5500.2323 · Cited by 14,965
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585
The contribution of vacations to quality of life
Dolnicar, S., Yanamandram, V., & Cliff, K. (2012) · Annals of Tourism Research · doi:10.1016/j.annals.2011.04.015 · Cited by 386
Topological estimation using witness complexes
Silva, V. D., & Carlsson, G. (2004) · The Eurographics Association · doi:10.2312/spbg/spbg04/157-166 · Cited by 337
Stability and dynamics of virus capsids described by coarse-grained modeling
Arkhipov, A., Freddolino, L., & Schulten, K. (2006) · Structure · doi:10.1016/j.str.2006.10.003 · Cited by 262
“Efficient topology-conserving algorithms have been developed for neural computations (see, for example, Ritter et al., 1992), and we take advantage of one of them, the topology-representing network (Martinetz and Schulten, 1991, 1994; Martinetz et al., 1993).”
Self-citation
Metadata
- Authors
- Martinetz, T., & Schulten, K.
- Venue
- Neural Networks
- Publisher
- Elsevier BV
- Published
- 1994-01
- Volume
- 7
- Issue
- 3
- Pages
- 507-522
- ISSN
- 0893-6080 (ISSN-L)
- OpenAlex
- W2047870719
- Cited by
- 883
- References
- 5
- FWCI
- 25.97
- 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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Topology representing networks. https://app.cochat.ai/papers/10.1016/0893-6080(94)90109-0
- The paper
- Martinetz, T., & Schulten, K. (1994). Topology representing networks. Neural Networks. https://doi.org/10.1016/0893-6080(94)90109-0
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.
