The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Riemannian Manifolds
Overview
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Citations
Cites
The Large Scale Structure of Space-Time
Hawking, S. W., & Ellis, G. F. R. (1973) · doi:10.1017/cbo9780511524646 · Cited by 10,624
Cited by
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Chaudhry, A., Dokania, P. K., Ajanthan, T., & Torr, P. H. S. (2018) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-01252-6_33 · Cited by 1,091
Lin, T., & Zha, H. (2008) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.70735 · Cited by 446
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
Munda, G., Reinbacher, C., & Pock, T. (2018) · International Journal of Computer Vision · doi:10.1007/s11263-018-1106-2 · Cited by 181
Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability
Yang, Y., Zhou, D.-W., Zhan, D.-C., Xiong, H., & Jiang, Y. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3292500.3330865 · Cited by 83
Metadata
- Authors
- Lee, J. M.
- Venue
- Graduate Texts in Mathematics
- Publisher
- Springer New York
- Published
- 1997
- ISSN
- 0072-5285 (ISSN-L)
- 2197-5612
- OpenAlex
- W4246954948
- Cited by
- 435
- References
- 1
- FWCI
- 0.33
- Type
- book
- 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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Riemannian Manifolds. https://app.cochat.ai/papers/10.1007/b98852
- The paper
- Lee, J. M. (1997). Riemannian Manifolds. Graduate Texts in Mathematics. https://doi.org/10.1007/b98852
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.
