Journal of Computational Science

SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
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Description
Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory.
The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging
techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion
allows for detailed data driven modeling and simulation.
This new discipline in science combines computational thinking, modern computational
methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods.
Computational
science typically unifies three distinct elements:
• Modeling, Algorithms and Simulations (e.g. numerical and non-numerical,
discrete and continuous);
• Software developed to solve science (e.g., biological, physical, and social), engineering, medicine,
and humanities problems;
• Computer and information science that develops and optimizes the advanced system hardware, software,
networking, and data management components (e.g. problem solving environments).
The Journal of Computational Science aims
to be an international platform to exchange novel research results in simulation based science across all scientific disciplines. It
publishes advanced innovative, interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering
are solved, integrating sophisticated numerical methods, computation, data, networks, and novel devices.
The journal welcomes original,
unpublished high quality contributions in the field of computational science at large, addressing one or more of the aforementioned elements.