The DOI matches its Crossref record.
Functional Analysis
Overview
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Citations
Cited by
Quasi-linear equations of evolution, with applications to partial differential equations
Kato, T. (1975) · Lecture Notes in Mathematics · doi:10.1007/bfb0067080 · Cited by 868
Inductive limits of finite dimensional 𝐶*-algebras
Bratteli, O. (1972) · Transactions of the American Mathematical Society · doi:10.1090/s0002-9947-1972-0312282-2 · Cited by 447
Realization theory for multivariate stationary Gaussian processes
Lindquist, A., & Picci, G. (1985) · SIAM Journal on Control and Optimization · doi:10.1137/0323050 · Cited by 139
Multiplicity of fractional Fourier transforms and their relationships
Cariolaro, G., Erseghe, T., Kraniauskas, P., & Laurenti, N. (2000) · IEEE Transactions on Signal Processing · doi:10.1109/78.815493 · Cited by 89
Metadata
- Authors
- Yosida, K.
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 1965
- OpenAlex
- W3040500874
- Cited by
- 3,355
- References
- 0
- FWCI
- 9.91
- Type
- book
- Language
- de
- 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: Functional Analysis. https://app.cochat.ai/papers/10.1007/978-3-642-52814-9
- The paper
- Yosida, K. (1965). Functional Analysis. Springer eBooks. https://doi.org/10.1007/978-3-642-52814-9
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.