Back to Top
Go Back
Journal Photo for Complex Analysis and Operator Theory
Peer reviewed only Open Access

Complex Analysis and Operator Theory (CAOT)

Publisher : Springer Nature
Computational Theory and Mathematics Computational Mathematics Applied Mathematics
e-ISSN 1661-8262
p-ISSN 1661-8254
Issue Frequency Continuously
Impact Factor 0.8
Est. Year 2007
Mobile 4962214870
Language English
APC YES
Email customerservice@springer.com

Journal Descriptions

Complex Analysis and Operator Theory is an international peer-reviewed research journal devoted to publishing high-quality original contributions in the areas of complex analysis and operator theory, two fundamental and closely related fields within modern mathematical analysis. The journal focuses primarily on research that develops theoretical foundations, reveals deep relationships between analytic and operator-theoretic structures, or applies these methods to broader subjects such as system theory, harmonic analysis, probability, statistics, learning theory, and mathematical physics. Articles combining complex analysis techniques with structural insights on linear operators, reproducing kernel spaces, Hilbert and Banach space methods, spectral theory, and functional models are especially welcomed. The journal serves mathematicians working in pure and applied analysis, operator algebras, functional analysis, several complex variables, and related interdisciplinary directions where analytic function theory intersects operator theory. Published by Springer / Birkhäuser Verlag in Switzerland, the journal maintains rigorous peer review and offers a hybrid publishing model with optional open access. It contributes to the mathematical literature by fostering communication among researchers exploring foundational analytic problems and operator theoretic applications.

Complex Analysis and Operator Theory (CAOT) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Computational Theory and Mathematics, Computational Mathematics, Applied Mathematics, system theory, harmonic analysis, probability, statistics, learning theory, mathematical physics, Articles combining complex analysis techniques with structural insights on linear operators, reproducing kernel spaces , Online or Print , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1661-8254, E-ISSN: 1661-8262, Established: 2007, Impact Factor: 0.8
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing