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Machine Graphics and Vision - Polska Akademia Nauk | 2024 Cite Score:0.6 | Q4

Machine Graphics and Vision Journal With Cite Score

Cite Score and Journal Rank of Machine Graphics and Vision

  • About: Machine Graphics and Vision is a peer-reviewed journal dedicated to the fields of machine graphics and computer vision. It publishes research related to the development, application, and advancement of technologies that enable machines to process, interpret, and visualize graphical and visual information.
  • Objective: The primary objective of the Machine Graphics and Vision journal is to advance the understanding and development of technologies in machine graphics and computer vision. The journal seeks to publish high-quality research that contributes to the theoretical foundations, technological advancements, and practical applications of machine graphics and vision. It aims to provide a platform for the dissemination of innovative methods, algorithms, and systems that enhance the ability of machines to interpret and generate visual data.
  • Interdisciplinary Approach: The journal adopts an interdisciplinary approach by integrating research from various fields such as computer science, engineering, artificial intelligence, and applied mathematics. This approach allows for a comprehensive exploration of how different disciplines contribute to the advancement of machine graphics and vision technologies. By promoting collaboration across these fields, the journal supports the development of integrated solutions and new methodologies that address complex challenges in machine graphics and vision.
  • Impact and Significance: The Machine Graphics and Vision journal is significant for its role in advancing the state of the art in machine graphics and computer vision. The journals impact is reflected in its contributions to the development of new algorithms, systems, and applications that enhance machine understanding of visual information. By providing a platform for cutting-edge research, the journal supports the progress of technologies that have wide-ranging applications in areas such as robotics, autonomous systems, virtual reality, and image processing.

  • Editor-in-Chief:  Â Leszek Chmielewski 

  • Scope: Machine Graphics and Vision is a peer-reviewed journal dedicated to research in the fields of machine graphics and computer vision. The journal focuses on both theoretical and applied aspects of these disciplines.
    1. Computer Vision: Research on algorithms and methods for interpreting and understanding visual information from the world, including image processing, object recognition, and scene analysis.
  • Machine Graphics: Studies on graphical representations and simulations produced by machines, including rendering techniques, graphical models, and virtual reality.
  • Image and Video Processing: Articles covering techniques for processing and analyzing images and videos, including compression, enhancement, and feature extraction.
  • Pattern Recognition: Research on methods for recognizing and classifying patterns in images and videos, including facial recognition, gesture recognition, and handwritten text recognition.
  • 3D Graphics and Visualization: Studies on three-dimensional graphics and visualization techniques, including 3D modeling, rendering, and visualization of complex datasets.
  • Machine Learning in Vision: Research on the application of machine learning algorithms to computer vision problems, including deep learning, neural networks, and predictive modeling.
  • Augmented and Virtual Reality: Articles on technologies and applications related to augmented reality (AR) and virtual reality (VR), including hardware, software, and user experience considerations.
  • Visual Computing: Studies on the integration of graphics and vision in computing systems, including visualization techniques, computational photography, and interactive graphics.
  • Human-Computer Interaction: Research on the interaction between humans and computers through graphical and visual interfaces, including usability studies and interface design.
  • Machine Graphics and Vision provides a comprehensive platform for the dissemination of cutting-edge research in machine graphics and vision, fostering advancements in technology and its applications in various domains.
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  12300535

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Software

  • Publication Frequency:  

  • H Index:  14

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Computer Graphics and Computer-Aided Design

  • Cite Score:  0.6

  • SNIP:  0.112

  • Journal Rank(SJR):  0.124