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.
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Computer Science Review intends to fulfil a need in the Computer Science community by publishing research surveys and expository overviews in computer science and related fields. The reviews are aimed at a general computer science audience seeking a full and expert overview of the latest in computer science research.
The journal will publish research surveys and expository overviews in computer science. Articles from other fields are welcome, as long as their content is relevant to computer science.
Articles should be of sufficient scientific interest and help to advance the fundamental understanding of ongoing research, applied or theoretical, for a general computer science audience. The treatment of each topic should be more than a catalogue of known results. Emphasis should be on clarity and originality of presentation and each survey should add insight to the topic under review.
A survey may typically contain the following elements:
- Introduction (including motivation and historical remarks)
- Outline of the Survey
- Basic concepts, examples and results (with sketches of the proofs)
- Comments on the relevance of the results, relations to other results and applications
- Open problems
- Critical review of the relevant literature
- Comprehensive bibliography
Authors should give a clear and well-balanced treatment of their subject. Expanded versions of primary research papers are generally not acceptable. The optimal length for a paper is considered to be approximately 30 printed pages or about 20,000 words, including tables and diagrams.