Rms-research In Mathematics & Statistics

Journal Title：Rms-research In Mathematics & Statistics

RMS Research in Mathematics&Statistics is an international academic journal dedicated to the fields of mathematics and statistics. This magazine aims to publish original research articles, reviews, and other forms of academic contributions covering a wide range of topics, including but not limited to pure mathematics, applied mathematics, statistics, probability theory, biostatistics, mathematical modeling in economics and finance, etc. The journal is committed to promoting the development of mathematics and statistics in both theory and practice, providing a platform for global scholars to exchange ideas and research results.

The editorial team of this magazine is composed of renowned scholars from different countries and regions, who have profound professional knowledge and rich editing experience in their respective research fields. The editorial department strictly follows the peer review process to ensure that published articles have high academic standards and innovation. In addition, the magazine encourages interdisciplinary research, especially those that can promote the integration of mathematics and statistics with other scientific fields. The target readership of the journal includes university professors, researchers, graduate students, and professionals with a strong interest in mathematics and statistics. By publishing cutting-edge research findings, this journal not only advances the academic community, but also provides new perspectives and tools for solving complex problems in the real world.

《数学与统计学研究》是一本专注于数学和统计学领域的国际学术期刊。该杂志旨在发表原创研究文章、综述以及其他形式的学术贡献，涵盖广泛的主题，包括但不限于纯数学、应用数学、统计学、概率论、生物统计学、经济学和金融学中的数学建模等。期刊致力于促进数学和统计学在理论和实践方面的发展，为全球学者提供一个交流思想和研究成果的平台。

该杂志的编辑团队由来自不同国家和地区的知名学者组成，他们在各自的研究领域具有深厚的专业知识和丰富的编辑经验。编辑部严格遵守同行评审流程，确保发表的文章具有高学术标准和创新性。此外，杂志鼓励跨学科研究，特别是那些能够推动数学和统计学与其他科学领域交叉融合的工作。期刊的目标读者群包括大学教授、研究人员、研究生以及对数学和统计学有浓厚兴趣的专业人士。通过发表前沿的研究成果，该杂志不仅推动了学术界的进步，也为解决现实世界中的复杂问题提供了新的视角和工具。

Rms-research In Mathematics & Statistics收稿方向涵盖Multiple全领域，平均审稿速度 ，影响因子指数0.7，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。