The price list for 2023 has been released and the issues of 2022 are available in stock. Register now for upcoming conference by emailing us at

Journal of Advanced Research in Applied Mathematics and Statistics

About The Journal

Focus of the Journal

The Journal of Advanced Research in Applied Mathematics and Statistics (JoARAMS) is dedicated to advancing the frontiers of applied mathematics and statistics by providing a scholarly platform for the dissemination of high-quality research. The primary focus of the journal is to showcase innovative and interdisciplinary contributions that apply mathematical and statistical methodologies to address real-world problems. This journal serves as a hub for researchers, practitioners, and academicians, fostering the exchange of ideas and the development of novel approaches that have practical implications across various fields.

Scope of the Journal

The scope of the journal encompasses, but is not limited to, the following key areas:

  • Applied Mathematics: Development and application of mathematical models, algorithms, and computational techniques to solve problems in diverse fields such as physics, engineering, biology, economics, and social sciences.
  • Statistical Modeling: Contributions to the design, application of statistical models, including multivariate analysis, regression analysis, time series analysis, and experimental design, among others.
  • Interdisciplinary Applications: Research that applies mathematical and statistical methods to address complex problems in interdisciplinary areas, including but not limited to finance, healthcare, environmental science, and information technology.
  • Numerical Analysis: Investigations into numerical methods and algorithms for solving mathematical problems and simulating real-world phenomena.
  • Optimization Techniques: Research on the development and application of optimization techniques to improve decision-making processes and resource allocation in various domains.
  • Data Science and Big Data Analytics: Contributions to the extraction of meaningful insights from large and complex datasets, including data preprocessing, machine learning, and data visualization.
  • Probability Theory: Studies on probability theory, applications in modeling uncertainties and risk assessment in different contexts.
  • Mathematical Biology: Application of mathematical models and statistical methods to address problems in biology, ecology, epidemiology, and other life sciences.
  • Time Series Analysis: Research on the analysis and forecasting of time-dependent data, with applications in economics, finance, climate science, and other fields.


Editor-in-chief has the final say in decisions regarding advertisements or sponsored content, including supplements, the journal will or will not carry, and their decision is final in use of the journal brand and in overall policy regarding commercial use of journal content. Advertisements of brands/products/organizations relevant to the focus and scope of the particular journal only will be considered.

Privacy Statement

The names and email addresses entered in this journal site will be used exclusively for the stated purposes of this journal and will not be made available for any other purpose or to any other party.

Google Scholar Link

Indexing Information