Journal of Mathematics and Statistics Research is an international peer-reviewed journal that publishes original and high-quality research papers in all areas of mathematics and statistics. As an important academic exchange platform, scientists and researchers can know the most up-to-date academic trends and seek valuable primary sources for reference.
Journal of Mathematics and Statistics research helps students, researchers, Scientist, practitioners, and other professionals find up-to-date information about on-going researches in the field of Mathematics and Statistics.
JMSR welcomes your efforts in the form of research, review papers, short communications, editorials, Book reviews, commentary, or any other type of articles relating to all aspects of Mathematics and Statistics.
Area: Mathematics and Statistics
Frequency: 4 Issues per Year
Review Process: Double Blinded
Publication Timeline: 15 Days peer review process
The articles submitted by authors must contain a minimum of 80% unique content (Which should be unique and must not copy from any other web sites). The authors must maintain 100% uniqueness in the Results and conclusion part of the text. We will resend the articles, which have below 80% uniqueness to the authors for revision and asked for resubmissions with uniqueness (as per guidelines).
Benefits to authors
We provide many author benefits, such as free PDFs, a liberal copyright policy, social media optimization which improve citations and help readers to connect with potential collaborators and correspondents with a platform to publish their research work and update the recent advances.
Submit your manuscript throughonline or an e-mail: email@example.com MS word format as attachment.
Aim and Scope
Journal of Mathematics and Statistics Research (JMSR)is a journal that circulates articles based on global development in the area of Mathematics and Statistics. The mission of JMSR to publish in a timely manner all Mathematics and Statistics focuses on covering a wide-ranging resource for investigators around the World.
Applied Information Economics
Computing Science and Mathematics
Computational Vision and Robotics
Computer Aided Engineering and Technology
Computational Complexity and Intelligent Algorithms