Journal of Scientific Computing Template
Write in a clean editor, then format for Journal of Scientific Computing in one click — DocuGuru applies the official Springer Nature template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Journal of Scientific Computing format
Journal of Scientific Computing is a peer-reviewed journal published by Springer Nature, covering Advanced Numerical Methods in Computational Mathematics, Computational Fluid Dynamics and Aerodynamics, Numerical methods for differential equations.
| Publisher | Springer Nature |
|---|---|
| Reference style | Numbered (Springer) Numbered — [1], [2] in the text 1. Smith, A., Jones, B., Lee, C.: A representative article title. Journal of Scientific Computing 12, 45–58 (2023)
Formats any DOI in Journal of Scientific Computing style. No sign-up. |
| Publishes research in | Advanced Numerical Methods in Computational Mathematics Computational Fluid Dynamics and Aerodynamics Numerical methods for differential equations Numerical methods in engineering Advanced Mathematical Modeling in Engineering |
| ISSN | 0885-7474 |
| Citation impact (2-yr) | 2.22 |
| h-index | 120 |
| i10-index | 2,239 |
| Total citations | 110,166 |
| Article processing charge | $2,990 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Scientific Computing per year
Citation impact of Journal of Scientific Computing by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Scientific Computing
Abstract Physics-Informed Neural Networks (PINN) are neural networks (NNs) that encode model equations, like Partial Differential Equations (PDE), as a component of the neural network itself. PINNs are nowadays used to solve PDEs, fractional equations, integral-differential equations, and stochastic PDEs. This novel methodology has arisen as a multi-task learning framework in which a NN must…