This journal presents original research that describes novel pattern analysis techniques as well as industrial and medical applications. It details new technology and methods for pattern recognition and analysis in applied domains, including computer vision and image processing, speech analysis, robotics, multimedia, document analysis, character recognition, knowledge engineering for pattern recognition, fractal analysis, and intelligent control.

Pattern Analysis and Applications (PAA) also examines the use of advanced methods, including statistical techniques, neural networks, genetic algorithms, fuzzy pattern recognition, machine learning, and hardware implementations which are either relevant to the development of pattern analysis as a research area or detail novel pattern analysis applications.

The journal contains case-studies as well as reviews on benchmarks, evaluations of tools, and important research activities at international centers of excellence.

For all submission-related enquiries, please contact the Journal Editorial Office via “Contacts” or the Senior Editor Dragos Calitoiu at calitoiu@math.carleton.ca.

  • Describes novel pattern analysis techniques as well as industrial and medical applications.
  • Details new technology and methods for pattern recognition and analysis in applied domains.
  • Examines the use of advanced methods
  • Contains case-studies as well as reviews on benchmarks, evaluations of tools, and important research activities at international centers of excellence.

Journal information

Editor-in-Chief
  • Sameer Singh
Publishing model
Hybrid (Transformative Journal). How to publish with us, including Open Access

Journal metrics

2.307 (2021)
Impact factor
2.031 (2021)
Five year impact factor
35 days
Submission to first decision (Median)
135,148 (2021)
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Latest issue

Volume 25

Issue 3, August 2022

Special Issue on Computer Vision and Machine Learning for Healthcare Applications

Latest articles

This journal has 60 open access articles

About this journal

Electronic ISSN
1433-755X
Print ISSN
1433-7541
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