Frontiers in Applied Mathematics and Statistics

Scope & Guideline

Empowering Research Through Open Access Innovation

Introduction

Immerse yourself in the scholarly insights of Frontiers in Applied Mathematics and Statistics with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN-
PublisherFRONTIERS MEDIA SA
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationFRONT APPL MATH STAT / Front. Appl. Math. Stat.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressAVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND

Aims and Scopes

Frontiers in Applied Mathematics and Statistics focuses on the intersection of mathematical theories and statistical methodologies, providing a platform for innovative research that addresses real-world problems through mathematical modeling and statistical analysis.
  1. Mathematical Modeling:
    The journal emphasizes the development and application of mathematical models across various domains, including biology, finance, epidemiology, and engineering. This includes both theoretical advancements and practical implementations.
  2. Statistical Analysis:
    It covers a wide range of statistical techniques, from traditional methods to modern machine learning approaches, aimed at analyzing complex data sets and drawing meaningful inferences.
  3. Interdisciplinary Research:
    Frontiers in Applied Mathematics and Statistics encourages research that bridges multiple disciplines, integrating methodologies from mathematics, statistics, computer science, and domain-specific fields.
  4. Applied Computational Techniques:
    The journal highlights the use of computational methods and simulations in solving mathematical problems and modeling real-world systems, showcasing advancements in algorithms and numerical methods.
  5. Data-Driven Approaches:
    There is a consistent focus on data-driven methodologies, including machine learning and statistical learning, to enhance modeling accuracy and decision-making processes in various applications.
The journal is experiencing a dynamic evolution in its research focus, with several emerging themes gaining traction. This section outlines these trending topics and their significance in the current research landscape.
  1. Epidemiological Modeling:
    There is a surge in research related to mathematical modeling of infectious diseases, particularly in the context of COVID-19, emphasizing the need for effective public health strategies and intervention measures.
  2. Machine Learning and AI Applications:
    The incorporation of machine learning and artificial intelligence in statistical modeling and data analysis is on the rise, reflecting a broader trend in the field towards leveraging computational power for enhanced predictive capabilities.
  3. Complex Systems and Network Theory:
    Research exploring complex systems, including network dynamics and interactions, is increasingly featured, highlighting the importance of understanding interconnected systems in various fields.
  4. Fractional Calculus and Dynamic Systems:
    The application of fractional calculus in modeling dynamic systems is gaining interest, providing new insights into modeling phenomena exhibiting memory and hereditary properties.
  5. Data Science and Big Data Analytics:
    There is a growing emphasis on data science methodologies, particularly in the context of big data analytics, addressing challenges in high-dimensional data and complex data structures.

Declining or Waning

While the journal continues to thrive in various research areas, certain themes and methodologies appear to be declining in prominence over the years. This section highlights these waning scopes.
  1. Traditional Statistical Methods:
    There is a noticeable decline in the publication of papers focusing solely on traditional statistical methods, as the field increasingly favors advanced computational techniques and machine learning approaches.
  2. Purely Theoretical Mathematics:
    Research that is heavily theoretical and lacks practical application appears to be less frequent, as the journal shifts towards studies that demonstrate real-world applicability and interdisciplinary collaboration.
  3. Low-Complexity Models:
    Simplistic models that do not account for complex interactions or multi-faceted dynamics are becoming less common, as researchers seek more robust and realistic representations of systems.

Similar Journals

Matematika

Elevating Mathematical Discourse Across Borders
Publisher: PENERBIT UTM PRESSISSN: 0127-8274Frequency: 2 issues/year

Matematika, an esteemed journal published by PENERBIT UTM PRESS, serves as a pivotal platform for showcasing innovative research in the field of mathematics. With the ISSN 0127-8274, this publication is dedicated to advancing mathematical knowledge and its applications, making significant contributions to both theoretical and applied mathematics. Although currently not offering open access, the journal is recognized for its rigorous peer-review process, ensuring the quality and integrity of published works. With its base in Skudai, Johor, Malaysia, Matematika plays a crucial role in promoting mathematical literacy and research within the ASEAN region and beyond. It invites researchers, professionals, and students to explore and contribute to the vibrant discussions that shape the future of mathematics.

Lithuanian Mathematical Journal

Catalyzing Collaboration in the World of Mathematics
Publisher: SPRINGERISSN: 0363-1672Frequency: 4 issues/year

Lithuanian Mathematical Journal is a prominent academic publication that has been advancing the field of mathematics since its inception in 1973. Published by SPRINGER, this journal provides a platform for researchers, professionals, and students to disseminate their findings and engage with the latest developments in various branches of mathematics. With an ISSN of 0363-1672 and an E-ISSN of 1573-8825, it is accessible to a global audience, primarily serving as a hub for mathematical discourse and innovation. Despite its current categorization in Q4 within the miscellaneous mathematics category and holding a Scopus rank of #284 out of 399, the journal continuously aims to elevate its impact by contributing to significant mathematical research. The importance of this journal lies not only in its rigorous peer-review process but also in its commitment to fostering academic collaboration and knowledge exchange in a structured yet dynamic environment.

Applied Mathematics-A Journal of Chinese Universities Series B

Empowering Researchers to Transform Mathematical Applications
Publisher: ZHEJIANG UNIV PRESSISSN: 1005-1031Frequency: 4 issues/year

Applied Mathematics-A Journal of Chinese Universities Series B is a reputable journal published by ZHEJIANG UNIV PRESS, dedicated to advancing the field of applied mathematics. With an ISSN of 1005-1031 and an E-ISSN of 1993-0445, this journal has consistently provided an insightful platform for researchers to publish innovative studies, theoretical advancements, and practical applications that bridge the gap between mathematics and real-world problems. Operating under the rigorous academic standards characteristic of its category, the journal currently holds a Q4 quartile rank in Applied Mathematics and is positioned at the 30th percentile among its peers in Scopus rankings. Encompassing a publication range from 1993 to 2024, it promises to foster collaboration and knowledge exchange among mathematicians and interdisciplinary scholars, ensuring that high-quality research reaches a global audience. Although the journal follows a traditional access model, its significance in the academic community lies in its commitment to facilitating the dissemination of critical mathematical findings that address complex contemporary issues.

Bulletin of Computational Applied Mathematics

Empowering Innovations in Computational Mathematics
Publisher: UNIV SIMON BOLIVARISSN: 2244-8659Frequency: 2 issues/year

The Bulletin of Computational Applied Mathematics, published by UNIV SIMON BOLIVAR, is an esteemed open-access journal dedicated to the fields of Applied and Computational Mathematics. Since its inception in 2013, this journal has provided a platform for researchers, professionals, and students to share innovative findings and methodologies that advance mathematical theory and application. With its ISSN 2244-8659, the bulletin has carved a niche in the academic community, maintaining a focus on practical computational issues while fostering the dissemination of research that aligns with contemporary challenges in the discipline. As reflected in its Scopus rankings and categorization within Q4 in both Applied and Computational Mathematics, the journal serves as a vital resource for those seeking to stay informed of the latest breakthroughs and trends. Based in Venezuela, the journal reflects a commitment to open access, ensuring that knowledge is readily available to a global audience, thus enhancing collaborative efforts in these critical mathematical domains.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Pioneering Research in Applied and Computational Mathematics
Publisher: ELSEVIERISSN: 0377-0427Frequency: 24 issues/year

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, published by Elsevier, stands as a premier platform for researchers and practitioners in the fields of applied and computational mathematics. With an impressive convergence history from 1975 to 2025, this journal has established itself as a crucial reference point for innovative mathematical theories, methodologies, and applications. Holding a distinguished position in Scopus rankings—#85 out of 635 in Applied Mathematics and #36 out of 189 in Computational Mathematics—it operates in the highly competitive Q2 quartile for both disciplines as of 2023. Although currently not designated as an open-access journal, it remains widely respected for its rigorous peer-review process and high-quality research contributions. Researchers and professionals seeking to advance their work and engage with cutting-edge developments will find this journal an invaluable resource, fostering a deeper understanding and collaboration within the mathematical community.

Electronic Journal of Applied Statistical Analysis

Empowering Research Through Innovative Statistical Analysis
Publisher: UNIV STUDI SALENTOISSN: 2070-5948Frequency: 1 issue/year

Welcome to the Electronic Journal of Applied Statistical Analysis, a pivotal platform for researchers and practitioners in the domains of Statistics and Probability, as well as Modeling and Simulation. Published by Università del Salento in Italy, this journal has been dedicated to disseminating valuable insights and advancements in applied statistical methodology since its inception in 2008. With its ISSN of 2070-5948, the journal operates within an esteemed academic framework, contributing significantly to the field despite its current Q4 ranking in both Statistics and Probability and Modeling and Simulation categories as of 2023. As we continue to explore complex statistical models and simulation techniques, the journal encourages submissions that advance theoretical and practical understandings, inviting the global academic community to engage with transformative research endeavors. For those looking to stay informed and ahead in the dynamic world of applied statistics, the Electronic Journal of Applied Statistical Analysis is an essential resource.

Journal of Applied Mathematics & Informatics

Advancing Computational Techniques for Real-World Applications.
Publisher: KOREAN SOC COMPUTATIONAL & APPLIED MATHEMATICS-KSCAMISSN: 2734-1194Frequency: 3 issues/year

Journal of Applied Mathematics & Informatics is a peer-reviewed academic journal published by the Korean Society of Computational & Applied Mathematics (KSCAM), focusing on the integration and application of mathematical theories and computational techniques across various domains. Established in 2019, this journal serves as a platform for researchers, professionals, and students to share innovative methodologies, practical applications, and theoretical advancements in fields like analysis, applied mathematics, and computational theory. As a Q4 ranked journal according to the 2023 category quartiles in analysis, applied mathematics, computational mathematics, and miscellaneous mathematics, it provides a valuable, albeit niche, contribution to the academic landscape. While the journal currently operates without open access options, it aims to disseminate quality research to foster collaboration and knowledge exchange within the mathematics and computer science communities. Researchers looking to explore emerging trends and methodologies in applied mathematics and informatics will find an essential resource in this journal, which is based in Daejeon, South Korea.

Computational and Mathematical Methods

Bridging Theory and Practice in Computational Mathematics
Publisher: WILEY-HINDAWIISSN: Frequency: 1 issue/year

Computational and Mathematical Methods is a dynamic peer-reviewed journal published by Wiley-Hindawi, focusing on innovative research in the fields of computational mathematics, mechanics, and theory. Since its transition to an Open Access format in 2022, the journal has enhanced its accessibility to researchers and practitioners globally, providing a platform for the dissemination of high-quality studies that contribute to emerging developments in mathematical modeling and computational techniques. Based in the United Kingdom, this journal is committed to fostering collaboration amongst scholars, evidenced by its rankings within Scopus: Q3 in computational mathematics, computational mechanics, and computational theory and mathematics, reflecting its relevance and influence within these critical fields. With an emphasis on interdisciplinary studies, Computational and Mathematical Methods is an essential resource for researchers, professionals, and students seeking to expand their knowledge and apply cutting-edge methodologies to practical challenges.

CSIAM Transactions on Applied Mathematics

Catalyzing Innovation through Rigorous Research
Publisher: GLOBAL SCIENCE PRESSISSN: 2708-0560Frequency: 4 issues/year

CSIAM Transactions on Applied Mathematics is a prestigious academic journal published by GLOBAL SCIENCE PRESS, specializing in the rapidly evolving field of applied mathematics. Established in 2020 and operating in Hong Kong, this journal has quickly gained recognition for its rigorous peer-reviewed articles and contributions that integrate theoretical frameworks with practical applications. With an impressive ranking of #261 out of 635 in the Scopus database, and a 2023 quartile ranking of Q2 in Applied Mathematics, it is positioned to be a vital resource for researchers, professionals, and students alike. The journal offers a platform for innovative research that is essential for addressing contemporary challenges in science and engineering, promoting interdisciplinary collaboration and knowledge exchange. Although currently not Open Access, it provides invaluable insights through its curated content, truly reinforcing its role as a cornerstone in the field of applied mathematics.

Communications in Mathematics and Statistics

Exploring New Dimensions in Applied Mathematics
Publisher: SPRINGER HEIDELBERGISSN: 2194-6701Frequency: 4 issues/year

Communications in Mathematics and Statistics, published by Springer Heidelberg, is a prominent journal dedicated to advancing research in the fields of applied mathematics, computational mathematics, and statistics. With an ISSN of 2194-6701 and an E-ISSN of 2194-671X, the journal has established itself as a vital platform for interdisciplinary scholarly communication since its inception in 2013. The journal falls within the third quartile in various rankings including applied mathematics, computational mathematics, and statistics and probability, indicating its solid position in the global research landscape. With a focus on innovative methodologies and practical applications, Communications in Mathematics and Statistics aims to bridge the gap between theoretical research and practical implementation. Researchers, professionals, and students alike will find valuable insights and cutting-edge studies that contribute to the evolution of mathematical sciences. The journal is based in Germany, with a commitment to fostering international collaboration and accessibility in mathematical research.