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International Journal of Computer Vision (IJCV)

Publisher :

Springer Nature

Scopus Profile
Peer reviewed only
Scopus Profile
Open Access
  • Computer Science
  • Software
  • Artificial Intelligence

    • +2

e-ISSN :

1573-1405

Issue Frequency :

Monthly

Impact Factor :

19.5

p-ISSN :

0920-5691

Est. Year :

1987

Mobile :

31786576000

Country :

India

Language :

English, Chinese

APC :

YES

Impact Factor Assignee :

Google Scholar

Email :

customerservice@springernature.com

Journal Descriptions

The International Journal of Computer Vision (IJCV) provides a forum for the dissemination of new research results in the rapidly growing field of computer vision. Now publishing 12 issues a year, International Journal of Computer Vision presents high-quality, original contributions to the science and engineering of this rapidly growing field. · Regular articles (up to 25 journal pages) present major technical advances of broad general interest. · Short articles (up to 10 pages) provide a fast publication path for novel research results. · Survey articles (up to 30 pages) offer critical reviews of the state of the art and/or tutorial presentations of pertinent topics. · Book reviews, position papers, and editorials by leading scientific figures will from time to time complement the technical content of the journal. · Additional, on-line material such as still images and video sequences, data sets, and software is encouraged.


International Journal of Computer Vision (IJCV) is :

International, Peer-Reviewed, Open Access, Refereed, Computer Science, Software, Artificial Intelligence, Computer Vision, Pattern Recognition , Online or Print, Monthly Journal

UGC Approved, ISSN Approved: P-ISSN - 0920-5691, E-ISSN - 1573-1405, Established in - 1987, Impact Factor - 19.5

Not Provide Crossref DOI

Indexed in Scopus, WoS

Not indexed in DOAJ, PubMed, UGC CARE

Indexing

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WoS
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+4 More

Publications of IJCV

  • dott image June, 2025

BiasMitigateGan: SYNTHESIZING FAIR TRAINING DATA FOR DERMATOLOGY AI USING DIFFUSION MODELS

AI systems used in dermatology which have been trained using open databases, frequently show bias toward people with lighter skin tones (types I–III). When a community does not have enough...

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