Visual Computer - Springer Nature - Impact Factor

Visual Computer - Springer Nature | 2024 Impact Factor:2.9 | Cite Score:2.9 | Q2

Impact Factor and Journal Rank of Visual Computer

About: The Visual Computer journal reports on the state-of-the-art of research in the field of graphics, vision, imaging, and virtual reality. It features practical results, applications, and contributions that describe advances in such areas as Rendering Techniques, Geometric Computing, Virtual and Augmented Reality, Shape and Surface Modeling, Point-based Graphics, and Physically Based Modeling. The Visual Computer publishes articles on all research fields of capturing, recognizing, modeling, analyzing, and generating shapes and images. It includes image understanding, machine learning for graphics, and 3D fabrication.
Significance:
Advancing Graphics and Vision Technologies: The Visual Computer is dedicated to advancing technologies in graphics, vision, imaging, and virtual reality. It serves as a comprehensive platform for researchers and practitioners to publish cutting-edge research and practical applications that contribute to the development of innovative visual computing solutions.
Broad Scope of Topics: The journal covers a wide range of topics including rendering techniques, geometric computing, virtual and augmented reality, shape and surface modeling, point-based graphics, and physically based modeling. It encompasses research on capturing, recognizing, modeling, analyzing, and generating shapes and images, along with advancements in image understanding, machine learning for graphics, and 3D fabrication.
Practical Applications and Contributions: Visual Computer publishes articles that provide practical results and applications in the field. It highlights contributions that showcase novel approaches, methodologies, and techniques aimed at enhancing the understanding and utilization of visual computing technologies in various domains.
Research and Innovation: By fostering the dissemination of state-of-the-art research and advancements, the Visual Computer journal contributes to the continuous evolution and innovation in graphics, vision, imaging, and virtual reality. It supports interdisciplinary collaboration and exploration of new frontiers in visual computing.
Submission Guidelines:
Types of Contributions: Visual Computer welcomes research articles, reviews, and contributions that present significant advances in graphics, vision, imaging, and virtual reality. Submissions should demonstrate originality, relevance, and technical rigor in addressing fundamental and applied aspects of visual computing.
Manuscript Preparation: Authors are encouraged to provide detailed descriptions of methodologies, experimental results, and applications. The journal places emphasis on clarity, precision, and accessibility of content to facilitate understanding and dissemination of research findings.
Impact and Contributions:
The Visual Computer journal plays a pivotal role in shaping the landscape of visual computing research. By publishing high-quality articles and fostering collaboration among researchers and practitioners, it drives advancements in graphics, vision, imaging, and virtual reality. The journal contributions support innovation, education, and application of visual computing technologies across diverse fields.

Journal Home: Journal Homepage

Editor-in-Chief: Nadia Magnenat

Scope: The Visual Computer Journal is a prominent international journal that focuses on all aspects of visual computing. This includes the fields of computer graphics, computer vision, visualization, virtual and augmented reality, and human-computer interaction. The journal publishes high-quality research that addresses both theoretical and practical challenges in the creation, processing, analysis, and understanding of visual data. The aim is to provide a comprehensive platform for the latest developments in the field and foster the exchange of knowledge among researchers, practitioners, and educators.
Topics Covered:
Computer Graphics: Advances in rendering techniques, geometric modeling, animation, and simulation.
Computer Vision: Methods for image and video analysis, object recognition, motion tracking, and 3D reconstruction.
Visualization: Techniques for visualizing scientific data, medical data, large datasets, and abstract information.
Virtual and Augmented Reality: Research on immersive environments, VR/AR applications, and interaction techniques.
Human-Computer Interaction: Studies on user interfaces, usability, and interaction design related to visual computing systems.
Image and Video Processing: Algorithms and methods for image enhancement, compression, transmission, and manipulation.
Graphics Hardware: Developments in GPU design, graphics processors, and hardware acceleration for visual computing tasks.