International Journal of Computational Vision and Robotics - Inderscience | 2024 Cite Score:2.0 | Q3

Cite Score and Journal Rank of International Journal of Computational Vision and Robotics

• About: The International Journal of Computational Vision and Robotics is a peer-reviewed journal focused on the intersection of computer vision and robotics. It provides a platform for researchers and practitioners to present their work on the development and application of computational techniques in vision and robotics. The journal aims to advance the understanding and capabilities of vision systems and robotic technologies through innovative research and practical applications.
• Objective
  The primary objective of the journal is to disseminate cutting-edge research in computational vision and robotics. It seeks to highlight advancements in algorithms, techniques, and systems that enhance the ability of robots to perceive and interact with their environment. The journal promotes the integration of vision and robotics to solve complex problems and improve the performance of autonomous systems.
• Topics Covered
  The journal covers a broad range of topics related to computational vision and robotics, including: Computer Vision Algorithms Image and Video Analysis Object Recognition and Tracking 3D Vision and Reconstruction Machine Learning for Vision and Robotics Sensor Fusion and Integration Robotic Perception and Navigation Human-Robot Interaction Autonomous Systems and Robotics Robotics Control and Planning Applications in Industry, Healthcare, and Defense Advances in Robotic Vision Systems
• Interdisciplinary Approach
  The International Journal of Computational Vision and Robotics adopts an interdisciplinary approach, bridging the gap between computer vision, robotics, artificial intelligence, and machine learning. This approach fosters innovation by integrating techniques from these diverse fields to address complex challenges in vision-based robotics.
• Impact and Significance
  The journal has a significant impact on both academic research and practical applications by providing valuable insights into the integration of vision and robotics technologies. It contributes to the development of advanced systems that improve automation, enhance human-robot collaboration, and enable new applications in various domains, including manufacturing, healthcare, and transportation.
• Submission and Review Process
  The journal follows a rigorous peer-review process to ensure the quality and relevance of published research. Submissions are evaluated based on their novelty, technical depth, and contribution to the field of computational vision and robotics. Accepted papers are published to advance knowledge and stimulate further research in these areas.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  Prof. Srikanta Patnaik

• Scope: International Journal of Computational Vision and Robotics focuses on advancements and research in computational vision and robotics. The journal covers a wide range of topics related to the design, development, and application of systems that combine computer vision with robotic technology.
• Computational Vision:
  Image Processing: Research on techniques for processing and analyzing visual information from images and videos.
• Feature Extraction: Studies on methods for extracting meaningful features from visual data for further analysis.
• Object Recognition: Exploration of algorithms and models for identifying and classifying objects within images.
• 3D Vision: Research on techniques for reconstructing three-dimensional information from two-dimensional images.
• Machine Learning for Vision: Studies on applying machine learning and deep learning techniques to visual data analysis.
• Robotics:
  Robot Perception: Research on enabling robots to perceive and understand their environment through sensors and vision systems.
• Motion Planning: Studies on algorithms for planning and controlling robotic movements and actions.
• Robot Control: Exploration of methods for controlling robot behavior and responses to sensory inputs.
• Human-Robot Interaction: Research on improving interactions between humans and robots, including interfaces and communication.
• Autonomous Systems: Studies on developing autonomous robots capable of operating independently in various environments.
• Integration of Vision and Robotics:
  Sensor Fusion: Research on integrating data from multiple sensors, including cameras and other vision systems, to enhance robot capabilities.
• Visual Servoing: Studies on using visual feedback to control robotic movements and operations.
• Object Tracking: Exploration of techniques for tracking and following objects using visual information and robotic systems.
• Robotic Navigation: Research on enabling robots to navigate and interact with their environment using visual cues.
• Applications:
  Industrial Robotics: Studies on applying computational vision and robotics to manufacturing and industrial processes.
• Medical Robotics: Research on the use of robotics and vision systems in medical and healthcare applications.
• Autonomous Vehicles: Exploration of technologies for self-driving cars and other autonomous transportation systems.
• Surveillance and Security: Studies on using vision and robotics for monitoring and security applications.
• Assistive Robotics: Research on robots designed to assist individuals with disabilities or aging populations.
• Methodologies and Tools:
  Algorithms and Models: Research on new algorithms and models for vision and robotics applications.
• Simulation and Testing: Studies on simulation tools and methods for testing vision and robotics systems.
• Software and Hardware Integration: Exploration of techniques for integrating software algorithms with hardware systems in robotics.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  1752-9131

  Electronic ISSN:  1752-914X

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Computer Science,Computer Science Applications,Computer Vision and Pattern Recognition

• Publication Frequency:  

• H Index:  17

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  Computer Science Applications

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• Cite Score:  2.0

• SNIP:  0.473

• Journal Rank(SJR):  0.236

• Latest Articles:   Latest Articles in International Journal of Computational Vision and Robotics

• Guidelines for Authors: International Journal of Computational Vision and Robotics Author Guidelines

• Paper Submissions: Paper Submissions in International Journal of Computational Vision and Robotics

• Publisher:  Inderscience Enterprises Ltd.

  Country:  United Kingdom

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