Journal Specifications
- PublisherSchool of Statistics, Renmin University of China
- LanguageEnglish
- Publication Time8
- Editorial Review ProcessAnonymous peer review
- LanguageEnglish
- Society/Institute/SponsorSchool of Statistics, Renmin University of China
- Website URL
- Publication Time8
- Editorial Team
- Review ProcessAnonymous peer review
- Review Url
- Author instructions
- Copyright Details
- License typeCC BY
- OA statement
Topics Covered
Year-wise Publication
- 5Y
- 10Y
FAQs
Who is the publisher of Journal of Data Science? 
The publisher of Journal of Data Science is School of Statistics, Renmin University of China.
How can I view the journal metrics of Journal of Data Science on editage? 
For the Journal of Data Science metrics, please refer to the section above on the page.
What is the eISSN and pISSN number of Journal of Data Science? 
The eISSN number is 1683-8602 and pISSN number is 1680-743X for Journal of Data Science.
What is the focus of this journal? 
The journal covers a wide range of topics inlcuding Pareto distribution, Air pollution, Factor analysis, Feature selection, Survival analysis, Anemia, Simulation, Gompertz distribution, Public health, Singular value decomposition, Credit risk, Frequency mixing, Sequence analysis, Stationary bootstrap, Lifetime distribution, Body mass index, Null hypothesis, Sparse learning, Bipolar disorder, Burr distribution.
Why is it important to find the right journal for my research? 
Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.
Can the choice of journal affect my academic career? 
Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.
Is it advisable to target high-impact journals only? 
While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.