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Nature Computational Science - Springer Nature | 2024 Impact Factor: 18.3 | Cite Score: 21.2 | Q1

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Nature Computational Science - Springer Nature | 2024 Impact Factor: 18.3 | Cite Score: 21.2 | Q1

  • About this Journal:
  • Nature Computational Science is a peer-reviewed, high-impact journal focusing on cutting-edge research at the intersection of computational methods and scientific discovery.Nature Computational Science is a multidisciplinary journal that focuses on the development and use of computational techniques and mathematical models, as well as their application to address complex problems across a range of scientific disciplines. The journal publishes both fundamental and applied research, from groundbreaking algorithms, tools and frameworks that notably help to advance scientific research, to methodologies that use computing capabilities in novel ways to find new insights and solve challenging real-world problems. By doing so, the journal creates a unique environment to bring together different disciplines to discuss the latest advances in computational science.
  • Publishes original research articles, reviews, perspectives, and commentaries on advances in computational techniques and their applications across natural and applied sciences.
  • Part of the prestigious Nature Portfolio, ensuring rigorous editorial standards and global visibility.
  • The journal brings together contributions from computer science, physics, biology, chemistry, engineering, mathematics, and data science.

  • Editor-in-Chief:  Fernando Chirigati

  • Scope of the Journal:
  • Computational modeling, simulation, and data-driven approaches for understanding complex physical, chemical, and biological systems.
  • Machine learning, artificial intelligence, and statistical methods applied to scientific problems.
  • Algorithm development, high-performance computing, and scalable computational frameworks.
  • Computational materials science, systems biology, neuroscience, and computational chemistry.
  • Data analysis pipelines, reproducibility, benchmarking, and methodological innovations in computational science.
  • Interdisciplinary computational research that drives scientific discovery, technological advancement, or methodological breakthroughs.
  • Latest Research Topics for PhD in Computer Science
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  • Latest Research Topics for PhD in Machine Learning
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  • Print ISSN:  26628457

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  18.3

  • Subject Area and Category:  Computer Networks and Communications, Computer Science Applications, Computer Science (miscellaneous)

  • Publication Frequency:  

  • H Index:  40

  • Best Quartile:

    Q1:  Computer Networks and Communications

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  21.2

  • SNIP:  3.200

  • Journal Rank(SJR):  3.472