Editorial Policy

The purpose of the SIAM Journal on Scientific Computing is to advance computational methods for solving scientific and engineering problems.

SISC papers are classified into three categories:

  1. Methods and Algorithms for Scientific Computing. Papers in this category may include theoretical analysis, provided that the relevance to applications in science and engineering is demonstrated. They should contain meaningful computational results and theoretical results or strong heuristics supporting the performance of new algorithms.

  2. Computational Methods in Science and Engineering. Papers in this section will typically describe novel methodologies for solving a specific problem in computational science or engineering. They should contain enough information about the application to orient other computational scientists but should omit details of interest mainly to the applications specialist.

  3. Software and High-Performance Computing. Papers in this category should concern the novel design and development of computational methods and high-quality software, parallel algorithms, high-performance computing issues, new architectures, data analysis, or visualization. The primary focus should be on computational methods that have potentially large impact for an important class of scientific or engineering problems.

Authors are encouraged to indicate which category best fits their SISC submission.

All submissions to SISC must be well written and accessible to a wide variety of readers, and should represent a clear advance in the state of the art.

Due to space limitations, articles are normally limited to 20 journal pages. Exceptions can be made in special cases only with the concurrence of the referees, the associate editor, and the editor-in-chief.

Submission of a manuscript to a SIAM journal is representation by the author(s) that the associated manuscript has not been published or submitted simultaneously for publication elsewhere.

Submission of an extended version of conference proceedings will be considered only if (i) the work is significantly revised and extended, and (ii) the previous appearance is explicitly indicated in both the cover letter to SIAM and a footnote on the first page.

Reproducibility of Computational Results
Reproducibility, that is, the ability to independently reproduce results obtained by others, is a core principle of scientific research. As the impact of, and knowledge discovery enabled by, computational science and engineering continue to increase, it is imperative that reproducibility become a natural part of these activities. SIAM Journal on Scientific Computing strongly encourages authors to deposit, in a permanent repository or as supplementary materials, any software and data that allow the results of published articles to be reproduced, and every effort made to include sufficient information in manuscripts to enable this. This should include not only information used for setup but also details on post-processing to recover published results. During the review process authors are obliged to respond to inquiries about the reproducibility of the results.


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