Computer Optics

Aims & Scope

The journal is intended for researchers and specialists active in the following research areas: Diffractive Optics; Information Optical Technology; Nanophotonics and Optics of Nanostructures; Image Analysis & Understanding; Information Coding & Security; Earth Remote Sensing Technologies; Hyperspectral Data Analysis; Numerical Methods for Optics and Image Processing; Intelligent Video Analysis.

The journal "Computer Optics" has been published since 1987.

Published 6 issues per year.

Metrics & Ranking

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Directory of Open Access Journals (DOAJ)
• Web of Science

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Engineering and Physics and Astronomy, designed to support cutting-edge academic discovery.

Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

Policy Links

This section provides access to essential policy documents, guidelines, and resources related to the journal’s publication and submission processes.

• Aims scope
• Homepage
• Oa statement
• Author instructions
• License terms
• Review url
• Board url
• Copyright url
• Apc url
• License

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Vortex beams in turbulent media: review

  Citation: 106

  Authors: V., О., S., Е.

• MIDV-500: a dataset for identity document analysis and recognition on mobile devices in video stream

  Citation: 77

  Authors: V.V., K., T., V.L.

• Detection of objects in the images: from likelihood relationships towards scalable and efficient neural networks

  Citation: 68

  Authors: N.A., V.E., A.G.

• Image restoration in diffractive optical systems using deep learning and deconvolution

  Citation: 64

  Authors: A., M., S., V., A., N.

• Computer Optics

  Citation: 58

  Authors:

• Injectional multilens molding parameters optimization

  Citation: 55

  Authors: N., I., A., S., E., M.

• Addressed fiber Bragg structures in quasi-distributed microwave-photonic sensor systems

  Citation: 53

  Authors: O.G., A.J.

• On the use of a multi-raster input of one-dimensional signals in two-dimensional optical correlators

  Citation: 49

  Authors: M.S., V.V., S.A.

• Hyperspectral image segmentation using dimensionality reduction and classical segmentation approaches

  Citation: 49

  Authors: E.

• Spectral-spatial classification with k-means++ particional clustering

  Citation: 48

  Authors: E., N., P.