Research in Mathematical Sciences

Aims & Scope

Research in the Mathematical Sciences is an international, peer-reviewed hybrid journal covering the full scope of Theoretical Mathematics, Applied Mathematics, and Theoretical Computer Science.

The Mission of the Journal is to publish high-quality original articles that make a significant contribution to the research areas of both theoretical and applied mathematics and theoretical computer science.

This journal is an efficient enterprise where the editors play a central role in soliciting the best research papers, and where editorial decisions are reached in a timely fashion.

Research in the Mathematical Sciences does not have a length restriction and encourages the submission of longer articles in which more complex and detailed analysis and proofing of theorems is required.

It also publishes shorter research communications (Letters) covering nascent research in some of the hottest areas of mathematical research.

This journal will publish the highest quality papers in all of the traditional areas of applied and theoretical areas of mathematics and computer science, and it will actively seek to publish seminal papers in the most emerging and interdisciplinary areas in all of the mathematical sciences.

Research in the Mathematical Sciences wishes to lead the way by promoting the highest quality research of this type.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.2
2024	1.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.956

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	24

Journal Rank

Year	Value
2024	5212

Journal Citation Indicator

Year	Value
2024	241

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Mathematics, designed to support cutting-edge academic discovery.

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Licensing & Copyright

This journal operates under an Open Access model. Articles are freely accessible to the public immediately upon publication. The content is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), allowing users to share and adapt the work with proper attribution.

Copyright remains with the author(s), and no permission is required for non-commercial use, provided the original source is cited.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Solving for high-dimensional committor functions using artificial neural networks

  Citation: 105

  Authors: Yuehaw, Jianfeng, Lexing

• Overcoming the curse of dimensionality for some Hamilton–Jacobi partial differential equations via neural network architectures

  Citation: 72

  Authors: Jérôme, Gabriel P., Tingwei

• A mean-field optimal control formulation of deep learning

  Citation: 57

  Authors: Weinan, Jiequn, Qianxiao

• Deep relaxation: partial differential equations for optimizing deep neural networks

  Citation: 50

  Authors: Pratik, Adam, Stanley, Stefano, Guillaume

• Blended coarse gradient descent for full quantization of deep neural networks

  Citation: 37

  Authors: Penghang, Shuai, Jiancheng, Stanley, Yingyong, Jack

• A class of non-holomorphic modular forms I

  Citation: 36

  Authors: Francis

• Energy stable higher-order linear ETD multi-step methods for gradient flows: application to thin film epitaxy

  Citation: 35

  Authors: Wenbin, Weijia, Cheng, Shufen, Xiaoming

• A multiscale neural network based on hierarchical nested bases

  Citation: 22

  Authors: Yuwei, Jordi, Lin, Lexing, Leonardo

• Delay-coordinate maps, coherence, and approximate spectra of evolution operators

  Citation: 21

  Authors: Dimitrios

• Higher depth quantum modular forms, multiple Eichler integrals, and $$\mathfrak {sl}_3$$ sl 3 false theta functions

  Citation: 21

  Authors: Kathrin, Jonas, Antun

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