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La Matematica

Official Journal of the Association for Women in Mathematics

Publishing model:

Overview

La Matematica is a peer-reviewed journal featuring high-quality research from all areas of the mathematical sciences.

  • Publishes papers describing novel mathematical ideas and tools; survey articles on current trends; short communications; and reviews.
  • Supports the flourishing of all mathematicians by adopting equitable practices in STEM publishing, and encourages innovation, engagement, and interdisciplinary collaboration.
  • Subjects of interest include mathematics education and history, as well as work in data science, computer science, and statistics.
  • Doubly anonymous review process and constructive reviews.
  • Quick reviewer turn-around time.

Editors-in-Chief
  • Donatella Danielli,
  • Kathryn Leonard,
  • Michelle Manes,
  • Ami Radunskaya
Downloads
57,668 (2023)

Latest articles

Journal updates

  • Call for Papers: Applied Monte Carlo Methods

    This topical collections aims to present a multitude of uses of Monte Carlo methods driven by diverse applications in cutting edge fields of research including biological and neural network modeling, disease spreading, RNA dynamics, granular materials, and water filtration. We invite manuscripts focused on algorithm development as well as updates of existing methods in the context of a specific real-world application.

    Submission Deadline: 31 August 2025, then rolling
    Guest Editors: Francesca Bernardi, Worcester Polytechnic Institute (USA); Andrea Arnold, Worcester Polytechnic Institute (USA)

  • Call For Papers: Tensor Methods

    Research in tensor (multidimensional array) analysis is accelerating, driven by the increasing complexity of data sets, arising from fields such as biomedical engineering, networks, and the physical and social sciences, which naturally lend themselves to a tensor structure. Tensor factorization methods in particular have been shown to aid in low-dimensional embedding and clustering, data compression, denoising, and imputation.  We invite submission of research, survey, and review articles on novel theoretical, computational, and real-world application progress in tensor analysis.

    Submission deadline: 1 June 2024
    Guest Editors: Dr. Jamie Haddock, Harvey Mudd College (USA); Dr. Anna Konstorum, Center for Computing Sciences, Institute for Defense Analyses (USA) and University of Florida (USA); Dr. Anna Ma, UC Irvine (USA)

  • Call For Papers: Mathematical Modeling of the Eye

    This topical collection aims to bring together works focused on mathematical modeling of the eye with the shared goal of improving ocular health and ophthalmic treatments. Ocular health determines our quality of life as our eyes provide much of the information we receive about the world. We welcome contributions in which mathematical models, empirical to mechanistic, are used to develop new and significant understanding of ocular health and treatments. Submitted works should have a high level of originality and quality.

    Submission Deadline: 1 February 2024

    Guest Editors: Lucia Carichino, Rochester Institute of Technology (USA); Kara Maki, Rochester Institute of Technology (USA)

  • Call for Papers: Mathematical Aspects of Cryptography and Coding Theory

    This collection welcomes research articles in the field of Mathematical Aspects of Cryptography and Coding Theory, broadly defined. This can be both theoretical results as well as applied. Submitted works should have a high level of originality and quality, providing significant contribution to the creation of new knowledge.  We also welcome high quality survey papers. Submissions from all members of the broader Mathematical Aspects of Cryptography and Coding Theory research community are welcome.

    Submission Deadline: September 1, 2023 for the first issue (and open-ended after that date)

    Guest Editors: Delaram Kahrobaei, The City University of New York (USA); Matluba Khodjaeva, The City University of New York (USA)

Journal information

Electronic ISSN
2730-9657
Abstracted and indexed in
  1. Baidu
  2. CLOCKSS
  3. CNKI
  4. CNPIEC
  5. Dimensions
  6. EBSCO
  7. Google Scholar
  8. Naver
  9. OCLC WorldCat Discovery Service
  10. Portico
  11. ProQuest
  12. TD Net Discovery Service
  13. Wanfang
  14. zbMATH
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