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 will be 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.
Journal information
- Editors-in-Chief
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- Alejandro Adem,
- Thomas Y. Hou,
- Lisa Jeffrey,
- Ken Ono,
- Fadil Santosa,
- Yuri Tschinkel
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 0.831 (2019)
- Impact factor
- 1.311 (2019)
- Five year impact factor
- 55 days
- Submission to first decision
- 179 days
- Submission to acceptance
- 31,836 (2020)
- Downloads
Latest issue
Latest articles
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Applications to \({\mathbb {A}}^1\)-enumerative geometry of the \({\mathbb {A}}^1\)-degree
Authors
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An algebraic lifting invariant of Ellenberg, Venkatesh, and Westerland
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This is part of 1 collection: -
Journal updates
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Transmission Eigenvalues and Related Spectral Problems in Scattering Theory (Submission Deadline: April 30, 2021)
This special issue will feature recent developments in the theory and applications of transmission eigenvalues and related spectral problems in direct and inverse scattering theory. The transmission eigenvalue problem is at the heart of inverse scattering theory for inhomogeneous media. It has a deceptively simple formulation but presents a perplexing mathematical structure; in particular it is a non-self-adjoint eigenvalue problem. This subject is rich, active and in the past decade has taken a multitude of directions, including developments in the spectral theory for various operators related to scattering, as well as many applications in inverse scattering problems and imaging. We solicit high quality original research papers targeting results on the theory, computations and applications of these topics.
Guest Editor: Fioralba Cakoni, Rutgers University and Houssem Haddar, CMAP Ecole Polytechnique
Submission Deadline: April 30, 2021
Download full details here: Transmission eigenvalues and Related Spectral Problems in Scattering Theory (PDF, 19.17 kB)
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Mathematical Theory of Machine Learning and Applications (Submission Deadline: 31st August, 2021)
In the past decade, deep learning as a branch of machine learning has influenced scientific computing in a fundamental way. This computational breakthrough presents tremendous opportunities and needs for new perspectives on computational mathematics and related emerging fields, such as approximation theory, operator estimation, numerical PDEs, inverse problems, data-driven modeling of dynamical systems, unsupervised and semi-supervised learnings. This special issue will feature high-quality original research, including (but not limited to) the theoretical and computational developments in these topics.
Guest Editors: John Harlim, Thomas Hou, Jinchao Xu
Submission Deadline: August 31, 2021
Download full details here: Mathematical Theory of Machine Learning and Applications -
PDE Methods for Machine Learning (Submission Deadline: 31st August 2021)
This special issue will feature recent developments in the application of partial differential equations (PDE) to problems in machine learning. We solicit high quality original research papers targeting the analysis and applications of PDEs to problems in machine learning and data science.
Guest Editors: Jeff Calder (University of Minnesota), Xiuyuan Cheng (Duke University), Adam Oberman (McGill University), Lars Ruthotto (Rutgers University)
Submission Deadline: 31st August 2021
Download Full Details Here:
PDE Methods for Machine Learning
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Developments in Commutative Algebra: In honor of Jürgen Herzog on the occasion of his 80th Birthday
Jürgen Herzog is one of the most accomplished researchers in the modern developments of commutative algebra. He has produced more than 230 original research papers and is cited more than 6650 times by approximately 2150 authors. In honor of his great achievements, we look forward to publishing a special issue commemorating his 80th birthday and honoring his influence on the field of commutative algebra and mathematics in general.
Guest Editor: Takayuki Hibi
Submission Deadline: 31st December 2021
Download Full Details Here: Developments in Commutative Algebra
About this journal
- Electronic ISSN
- 2197-9847
- Print ISSN
- 2522-0144
- Abstracted and indexed in
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- CNKI
- Current Contents/Physical, Chemical and Earth Sciences
- Dimensions
- EBSCO Discovery Service
- Google Scholar
- INIS Atomindex
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Mathematical Reviews
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Central
- ProQuest Engineering
- ProQuest Materials Science and Engineering Database
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- zbMATH
- Copyright information