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Computing and Visualization in Science | 2024 Cite Score:5.4 | Q1

Computing and Visualization in Science Journal With Cite Score

Cite Score and Journal Rank of Computing and Visualization in Science

  • About: The Computing and Visualization in Science Journal is a peer-reviewed publication that focuses on the intersection of computing techniques and visualization methods applied to scientific research. It serves as a platform for researchers, scientists, engineers, and practitioners to publish original research articles, reviews, and technical notes that integrate computational approaches with visualization techniques across various scientific disciplines.
  • Objective:
    The primary objective of the journal is to advance scientific discovery by promoting the use of computing and visualization tools in research. It aims to facilitate the exchange of knowledge and innovative ideas among researchers working on computational methods, data analysis, simulation techniques, and visualization technologies in scientific domains.
  • Topics Covered:
    The Computing and Visualization in Science Journal covers a broad range of topics including: Scientific computing methodologies and algorithms Visualization techniques for data analysis and interpretation High-performance computing and parallel processing Simulation models and numerical methods Virtual reality and augmented reality applications in science Applications of machine learning and artificial intelligence in scientific computing
  • Impact:
    The journal significantly impacts both academia and industry by fostering advancements in computational modeling, data visualization, and scientific simulations. Its publications contribute to enhancing research methodologies, improving data-driven decision-making processes, and accelerating scientific discoveries across various scientific disciplines.
  • Significance:
    The Computing and Visualization in Science Journal is significant in promoting interdisciplinary research and innovation at the intersection of computing and visualization. By disseminating high-quality, peer-reviewed articles, the journal supports researchers in leveraging computational tools and visualization techniques to address complex scientific challenges, facilitate knowledge sharing, and drive technological advancements in scientific research and applications.

  • Editor-in-Chief:  

  • Scope: The Computing and Visualization in Science journal (CVIS) focuses on the intersection of computing and scientific visualization, covering a broad range of topics. Here are the key areas typically covered in this journal:
  • 1. Scientific Computing
    Algorithms and numerical methods in scientific computing
    Parallel and distributed computing for scientific simulations
    Computational techniques for solving complex scientific problems
  • 2. Visualization Techniques and Tools
    Scientific visualization methods and algorithms
    Interactive visualization and visual analytics
    Virtual reality and augmented reality applications in science
  • 3. High-Performance Computing (HPC)
    Applications of HPC in scientific research
    GPU computing and accelerators for scientific simulations
    Cloud computing and big data analytics in scientific computing
  • 4. Data Analysis and Mining
    Data-driven approaches to scientific discovery
    Machine learning and artificial intelligence in scientific data analysis
    Statistical methods and visualization in data science
  • 5. Computational Physics and Chemistry
    Computational modeling and simulations in physics and chemistry
    Molecular dynamics and quantum chemistry simulations
    Computational fluid dynamics and solid mechanics
  • 6. Computational Biology and Bioinformatics
    Computational approaches to biological data analysis
    Genomics, proteomics, and systems biology
    Bioinformatics algorithms and databases
  • 7. Earth and Environmental Sciences
    Computational methods in geophysics, climate modeling, and environmental sciences
    Remote sensing and GIS applications
    Computational approaches to environmental data analysis
  • 8. Engineering Applications
    Computational methods in engineering disciplines (e.g., civil, mechanical, aerospace)
    Finite element analysis and optimization techniques
    Simulation-based design and engineering workflows
  • 9. Visualization in Education and Outreach
    Educational applications of scientific visualization
    Public engagement and outreach using visualization techniques
    Visualization tools and platforms for teaching and learning
  • 10. Emerging Technologies and Future Directions
    Innovations and trends in computing and visualization for science
    Challenges and opportunities in interdisciplinary research
    Future directions in scientific computing and visualization
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  14329360

    Electronic ISSN:   14330369

  • Abstracting and Indexing:  Scopus

  • Imapct Factor :  

  • Subject Area and Category:   Computer Science ,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software,Engineering,Engineering (miscellaneous),Mathematics,Modeling and Simulation,Theoretical Computer Science

  • Publication Frequency:  

  • H Index:  49

  • Best Quartile:

    Q1:  Computational Theory and Mathematics

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  5.4

  • SNIP:  3.717

  • Journal Rank(SJR):  1.237