Scientific Visualization - National Research Nuclear University MEPhI | 2024 Cite Score:1.2 | Q4

Cite Score and Journal Rank of Scientific Visualization

• About: The Scientific Visualization journal publishes original research articles, case studies, and reviews on various aspects of scientific visualization. Topics covered include visualization methods for complex data sets, interactive visualization techniques, data representation in scientific disciplines, and applications of visualization in areas such as physics, biology, engineering, and climate science. The journal emphasizes advancements in visualization technologies and their impact on scientific research.
• Objective
  The primary objective of Scientific Visualization is to advance the field of scientific visualization by providing a platform for high-quality research and scholarly discussion. The journal seeks to promote innovative visualization techniques, support the development of new tools and methodologies, and enhance the application of visualization in understanding and analyzing scientific data.
• Interdisciplinary Approach
  Scientific Visualization adopts an interdisciplinary approach, recognizing that visualization techniques often intersect with various fields such as computer science, data science, mathematics, and domain-specific sciences. The journal encourages contributions that integrate these diverse perspectives to address complex challenges in visualizing scientific data and developing effective visualization tools.
• Impact and Significance
  The journal has a significant impact on the scientific visualization community by providing valuable insights and practical recommendations for researchers, practitioners, and tool developers. Its influence is reflected in its ability to shape research directions, drive advancements in visualization technologies, and contribute to the effective representation of complex scientific data. Scientific Visualization plays a crucial role in advancing knowledge and practice in this field.
• Overall, the Scientific Visualization journal is dedicated to promoting cutting-edge research and innovation in scientific visualization, offering a platform for impactful research, and fostering collaboration among experts in the field.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  M.N. Strikhanov

• Scope: The Scientific Visualization journal focuses on the development and application of visualization techniques to help understand and interpret complex scientific data. It covers a broad range of topics related to the visual representation of scientific phenomena, data analysis, and the communication of scientific results.
• Visualization Techniques and Methods:
  Research on novel techniques for visualizing complex scientific data
  Development of new methods for representing multidimensional data
  Innovations in graphical and interactive visualization tools
  Case studies demonstrating the application of advanced visualization techniques
  Emerging trends in visualization methodologies
• Applications in Scientific Research:
  Applications of visualization techniques in various scientific disciplines, such as physics, biology, and astronomy
  Use of visualization in data analysis, hypothesis testing, and result interpretation
  Case studies showcasing the impact of visualization on scientific discovery and communication
  Integration of visualization tools with scientific simulations and experiments
  Challenges and opportunities in applying visualization techniques across different fields
• Interactive and Real-Time Visualization:
  Research on interactive visualization systems that enable real-time data exploration
  Development of real-time visualization techniques for dynamic and evolving datasets
  Innovations in user interfaces and interaction models for visualization tools
  Case studies of successful real-time and interactive visualization applications
  Future directions for interactive and real-time visualization technologies
• Data Integration and Fusion:
  Techniques for integrating and visualizing data from multiple sources or modalities
  Research on data fusion methods to create comprehensive visual representations
  Applications of data integration in fields such as geosciences, medical imaging, and social sciences
  Case studies of effective data integration and fusion in visualization
  Emerging trends in data integration for scientific visualization
• Educational and Communicative Aspects:
  Use of visualization techniques for educational purposes and public engagement
  Research on the effectiveness of visualization in communicating complex scientific concepts
  Development of educational tools and resources based on visualization
  Case studies showcasing the impact of visualization on science education and outreach
  Future trends in the use of visualization for educational and communicative purposes
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  20793537

  Electronic ISSN:  

• Abstracting and Indexing:  SCOPUS

• Imapct Factor :  

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

• Publication Frequency:  

• H Index:  13

• Best Quartile:

  Q1:  

  Q2:  

  Q3:  

  Q4:  Computer Vision and Pattern Recognition

• Cite Score:  1.2

• SNIP:  0.571

• Journal Rank(SJR):  0.232

• Latest Articles:   Latest Articles in Scientific Visualization

• Guidelines for Authors: Scientific Visualization Author Guidelines

• Paper Submissions: Paper Submissions in Scientific Visualization

• Publisher:  National Research Nuclear University MEPhI

  Country:  Russian Federation

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