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Image Analysis and Stereology - International Society for Stereology | 2024 Impact Factor:1.0 | Cite Score:1.7 | Q4

Image Analysis and Stereology Journal With Cite Score

Cite Score and Journal Rank of Image Analysis and Stereology

  • About: The Image Analysis and Stereology journal publishes original research articles, technical papers, and reviews on topics related to image analysis and stereology. This includes areas such as image processing techniques, 3D image reconstruction, quantitative analysis of images, and stereological methods for estimating geometric properties of structures. The journal aims to advance the understanding and application of these techniques across different scientific disciplines.
  • Objective
    The primary objective of the journal is to provide a platform for high-quality research and scholarly discussion on image analysis and stereology. It seeks to promote the development and dissemination of innovative methods, support the application of advanced analytical techniques, and enhance the practical use of image analysis and stereological approaches in research and industry.
  • Interdisciplinary Approach
    Image Analysis and Stereology adopts an interdisciplinary approach, recognizing that research in these areas often intersects with fields such as computer vision, mathematics, biology, and materials science. The journal encourages contributions that integrate these diverse perspectives to address complex problems and develop comprehensive solutions for image analysis and stereological tasks.
  • Impact and Significance
    The journal has a significant impact on the image analysis and stereology communities by providing valuable insights and practical recommendations for researchers, practitioners, and technologists. Its influence is reflected in its ability to shape research directions, drive advancements in analytical methods, and contribute to the development of more effective image analysis and stereological techniques. Image Analysis and Stereology plays a crucial role in advancing knowledge and practice in these specialized areas.

  • Editor-in-Chief:  Marko Kreft

  • Scope: The Image Analysis and Stereology Journal focuses on the application of image analysis and stereological methods to a variety of scientific and engineering problems. It provides a platform for research and developments in the fields of image processing, stereology, and their applications.
  • Image Analysis:
    Research on techniques and algorithms for analyzing digital images
    Innovations in image segmentation, feature extraction, and pattern recognition
    Case studies demonstrating the application of image analysis in fields such as medical imaging, remote sensing, and industrial inspection
    Trends in the development of new image analysis technologies and methodologies
    Future directions for research in image analysis
  • Stereology:
    Research on stereological methods for quantitative analysis of three-dimensional structures from two-dimensional images
    Developments in techniques for estimating volume, surface area, and number densities
    Case studies on the application of stereology in biological, materials science, and other research areas
    Trends in stereological methods and their integration with image analysis
    Future directions for advancing stereological research and applications
  • Applications in Biomedical Imaging:
    Research on the application of image analysis and stereology in biomedical imaging
    Innovations in the analysis of medical images, including MRI, CT scans, and microscopy
    Case studies on the use of these methods for diagnosing and understanding medical conditions
    Trends in the development of new techniques for biomedical image analysis and stereology
    Future directions for research in biomedical imaging applications
  • Applications in Materials Science:
    Research on the application of image analysis and stereology to materials science
    Developments in the characterization of material properties, including microstructure and phase distribution
    Case studies on the use of these methods for analyzing metals, polymers, ceramics, and composites
    Trends in the application of image analysis and stereology in materials science research
    Future directions for research in materials characterization and analysis
  • Computer Vision and Pattern Recognition:
    Research on the integration of image analysis with computer vision and pattern recognition technologies
    Innovations in algorithms for object detection, tracking, and classification
    Case studies on the application of these technologies in various domains such as security, automotive, and robotics
    Trends in the development of new computer vision techniques and their applications
    Future directions for research in computer vision and pattern recognition
  • Educational and Training Resources:
    Research on educational practices and resources for image analysis and stereology
    Innovations in curriculum design, training programs, and professional development for researchers and practitioners
    Case studies on effective educational approaches and their impact on the field
    Trends in the evolution of education and training in image analysis and stereology
    Future directions for improving educational and professional development opportunities
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  1580-3139

    Electronic ISSN:  1854-5165

  • Abstracting and Indexing:  Scopus, Science Citation Index Expanded

  • Imapct Factor 2024:  1.0

  • Subject Area and Category:  Biochemistry, Genetics and Molecular Biology, Biotechnology, Computer Science, Computer Vision and Pattern Recognition, Signal Processing, Materials Science, Materials Science (miscellaneous), Mathematics, Mathematics (miscellaneous), Medicine, Radiology, Nuclear Medicine and Imaging, Physics and Astronomy, Acoustics and Ultrasonics, Instrumentation

  • Publication Frequency:  

  • H Index:  31

  • Best Quartile:

    Q1:  

    Q2:  

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    Q4:  Acoustics and Ultrasonics

  • Cite Score:  1.7

  • SNIP:  0.528

  • Journal Rank(SJR):  0.196