ISSN 2090-8423  (print)
ISSN 2090-8431  (online) 
http://dx.doi.org/10.18576/jsap
Frequency: 6 issues annually  
CiteScore  Scopus

The journal accepts new submissions in English and Arabic languages, focusing on traditional areas such as statistical inference, multivariate analysis, design of experiments, sampling theory, regression analysis, re-sampling methods, time series, nonparametric statistics, statistical tools and analysis in human resources management, etc., and also gives special emphasis to established as well as emerging applied areas. 

All submitted manuscripts, written in English, Arabic or French Language, will undergo normal review process and the publication decision will be adjudged by quality, novelty, suitability and interest. 

The journal publishes 3 issues annually and accepts papers through peer review by professional colleagues in the relevant fields. In order to be considered for publication, your introduction should clearly explain the novelty, urgency and originality of the research in your article.

JSAP accepts papers through peer review by professional colleagues in the relevant fields. Unless clearly below the standard required by the journal, submitted articles will be sent to referees. They will generally be reviewed by at least two experts with the aim of reaching a decision as soon as possible. Where possible, the final decision is made on the basis that the referees are in accordance with one another. When there is a strong disagreement between referees, advice is sought from a member of the journals Editorial Board. 

Plagiarism, or copying text or results from other sources, is unethical behavior and is not tolerated at this journal. All manuscripts will be checked for originality using the CrossCheck database. For more information on CrossCheck please visit  http://www.crossref.org/crosscheck.html  

This journal is committed to fostering diversity, equity, and inclusion within their editorial teams and decision-making processes. All applications will be treated with strict confidentiality and assessed solely on their merits, free from bias related to the applicants seniority or institutional affiliation. We maintain a non-discrimination policy that prohibits bias based on race, color, ancestry, national origin, religion or creed, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or any other protected characteristic.