Communications in Mathematics and Statistics

Scope & Guideline

Connecting Scholars through Statistical Excellence

Introduction

Explore the comprehensive scope of Communications in Mathematics and Statistics through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Communications in Mathematics and Statistics in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2194-6701
PublisherSPRINGER HEIDELBERG
Support Open AccessNo
CountryGermany
TypeJournal
Convergefrom 2013 to 2024
AbbreviationCOMMUN MATH STAT / Commun. Math. Stat.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressTIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY

Aims and Scopes

Communications in Mathematics and Statistics focuses on disseminating high-quality research that spans the fields of mathematics and statistics, with an emphasis on both theoretical developments and practical applications. The journal aims to bridge the gap between pure and applied mathematics, fostering interdisciplinary research and collaboration.
  1. Statistical Theory and Methodology:
    The journal publishes research on various statistical theories and methodologies, including but not limited to estimation, hypothesis testing, regression analysis, and Bayesian methods. It emphasizes innovative approaches that contribute to the advancement of statistical science.
  2. Mathematical Modeling and Applications:
    Research that involves mathematical modeling of real-world phenomena, particularly in fields such as finance, biology, and engineering, is a core focus. The journal encourages submissions that apply mathematical theories to solve practical problems.
  3. High-Dimensional Data Analysis:
    Given the rise of big data, the journal often features articles that address the challenges of analyzing high-dimensional datasets. This includes methods for variable selection, dimensionality reduction, and robust statistical inference.
  4. Stochastic Processes and Their Applications:
    The study of stochastic processes is a significant area of interest, with papers exploring models and applications in areas like finance, insurance, and environmental science. The journal seeks to publish innovative methodologies in this domain.
  5. Graph Theory and Combinatorics:
    Research in graph theory and combinatorics is frequently published, highlighting their applications in computer science, network analysis, and optimization problems. The journal encourages theoretical and applied contributions.
The journal has shown a dynamic evolution in its focus areas, with certain themes emerging as particularly prominent in recent publications. The following scopes indicate the current trends and areas of growing interest within Communications in Mathematics and Statistics.
  1. Machine Learning and Statistical Learning:
    There is a notable increase in research that intersects machine learning with statistical methodologies. This trend reflects the growing importance of computational techniques in statistics, particularly concerning big data applications.
  2. High-Dimensional Statistics and Data Science:
    The surge in research addressing high-dimensional statistical methods indicates a strong trend towards tackling the complexities associated with large datasets, especially in fields such as genomics and finance.
  3. Complex Systems and Network Analysis:
    Research focusing on complex systems, including network theory and its applications, is gaining traction. This reflects an interdisciplinary approach that integrates mathematical modeling with applications in social networks, biological networks, and data analytics.
  4. Bayesian Methods and Computational Statistics:
    A rising trend in the adoption of Bayesian methods for statistical analysis is evident, with a focus on computational techniques such as Markov Chain Monte Carlo (MCMC) methods and Bayesian hierarchical modeling.
  5. Stochastic Modeling and Simulation Techniques:
    The journal is increasingly featuring research on stochastic modeling, particularly in applications involving simulations of complex systems, which is critical in diverse fields such as finance, operations research, and environmental modeling.

Declining or Waning

While Communications in Mathematics and Statistics has a diverse range of research areas, some themes appear to be declining in prominence over recent years. The following scopes are observed to be waning in the journal's publications.
  1. Classical Statistical Inference:
    There seems to be a reduction in papers focused solely on classical statistical inference techniques, as newer methods and frameworks, particularly Bayesian approaches and machine learning techniques, gain traction.
  2. Traditional Time Series Analysis:
    The focus on classical time series analysis methods appears to be diminishing, making way for more advanced methodologies that incorporate machine learning and deep learning techniques for forecasting and analysis.
  3. Elementary Probability Theory:
    Research that deals with basic concepts of probability theory is less frequently published, as the journal shifts towards more complex and applied probabilistic models, especially those relevant to high-dimensional and stochastic systems.

Similar Journals

BIOMETRIKA

Advancing the Frontiers of Statistical Science
Publisher: OXFORD UNIV PRESSISSN: 0006-3444Frequency: 4 issues/year

BIOMETRIKA, published by the esteemed Oxford University Press, stands as a pivotal journal in the fields of statistics, probability, and applied mathematics since its inception in 1908. With ISSN number 0006-3444 and E-ISSN 1464-3510, this journal maintains an impressive reputation, consistently achieving Q1 rankings across multiple categories including Agricultural and Biological Sciences, Applied Mathematics, and Statistics. Addressed to a global audience from its base in Oxford, United Kingdom, BIOMETRIKA serves as an essential platform for disseminating rigorous research aimed at advancing statistical methodologies and their applications. While the journal does not offer Open Access options, it is recognized for its high-impact output, holding significant positions in Scopus rankings - specifically attaining a 94th percentile rank in General Mathematics and a 91st percentile in Statistics and Probability. Scholars, professionals, and students alike will find in BIOMETRIKA a wealth of knowledge that bridges theory and practice within the vast domain of statistical science, making it indispensable for ongoing research and education in the field.

Econometrics and Statistics

Innovating the future of data analysis and decision-making.
Publisher: ELSEVIERISSN: 2468-0389Frequency: 4 issues/year

Econometrics and Statistics is a premier journal published by Elsevier, dedicated to advancing the fields of Econometrics and Statistics. Since its inception in 2017, this journal has provided a platform for cutting-edge research, bridging theoretical foundations with practical applications to inform data-driven decision-making. With an impressive impact factor and positioned in the Q2 category across Economics, Econometrics, and Statistics in 2023, it ranks among the top-tier journals in its field, ensuring that the published works are recognized for their quality and relevance. The journal encompasses a broad scope that includes statistical methodologies, econometric analysis, and their interconnectedness, making it valuable for a diverse audience of researchers, professionals, and students. Although it operates under a traditional access model, ongoing efforts are being made to explore open-access publishing options to enhance the dissemination of knowledge. The journal's commitment to rigor and innovation solidifies its role in shaping the future of quantitative analysis.

INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES

Empowering researchers with accessible mathematical knowledge.
Publisher: HINDAWI LTDISSN: 0161-1712Frequency: 1 issue/year

INTERNATIONAL JOURNAL OF MATHEMATICS AND MATHEMATICAL SCIENCES is a distinguished peer-reviewed journal published by HINDAWI LTD, dedicated to advancing the field of mathematics and its various applications. Since its inception in 1978, the journal has been committed to open access, ensuring that research is freely available to all, thereby fostering greater collaboration and dissemination of knowledge. With an impressive Q3 ranking in the Mathematics (miscellaneous) category and a notable Scopus rank in the 72nd percentile, this journal is a vital resource for researchers, professionals, and students. The journal covers a wide range of topics in mathematics, from theoretical explorations to applied methodologies, and it continues to serve as a platform for significant contributions in this evolving discipline. Its continuous publication from 1978 to present reflects its enduring relevance and impact in the mathematical sciences community.

ANNALS OF STATISTICS

Advancing Statistical Science Through Rigorous Research
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0090-5364Frequency: 6 issues/year

ANNALS OF STATISTICS, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the field of statistical science, particularly recognized for its rigorous peer-reviewed articles and innovative contributions. With an impressive impact factor and categorized in the Q1 quartile for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, this journal is a vital resource for researchers, professionals, and students alike. Covering a comprehensive array of statistical theories and methodologies from 1996 to 2024, it aims to foster the advancement of mathematical statistics while addressing contemporary challenges in data analysis and interpretation. The journal, operating without an Open Access model, remains a key platform for disseminating high-quality research, evident from its commendable Scopus rankings of Rank #9 out of 278 in Statistics and Probability and Rank #9 out of 168 in Decision Sciences. Located in Cleveland, Ohio, the ANNALS OF STATISTICS is not just a journal but a beacon of knowledge that continues to influence statistical practices globally.

JIRSS-Journal of the Iranian Statistical Society

Fostering Collaboration for a Stronger Statistical Community.
Publisher: IRANIAN STATISTICAL SOCISSN: 1726-4057Frequency: 2 issues/year

JIRSS - Journal of the Iranian Statistical Society is a prominent academic journal dedicated to the field of statistics and probability, published by the esteemed Iranian Statistical Society. With its ISSN number 1726-4057 and E-ISSN 2538-189X, this journal serves as a vital platform for disseminating cutting-edge research and advancements in statistical methodology and its applications. Established in 2011, JIRSS has consistently contributed to the academic community, achieving a 2023 Scopus rank of #180 out of 278 in its category, placing it within the 35th percentile in the dynamic domain of Mathematics: Statistics and Probability. As an Open Access publication, it enhances accessibility for researchers, professionals, and students, facilitating a wider engagement with innovative statistical techniques and theories. The journal aims to foster collaboration and knowledge exchange among statisticians, ultimately enriching the field and its impact on various scientific disciplines.

Statistica

Unlocking the Potential of Data Analysis and Probability Theory
Publisher: UNIV STUDI BOLOGNA, DIPT SCIENZE STATISTICHE PAOLO FORTUNATIISSN: 0390-590XFrequency: 4 issues/year

Statistica, an esteemed journal published by the Università degli Studi di Bologna, Dipartimento di Scienze Statistiche Paolo Fortunati, is a vital resource within the fields of statistical science and applied mathematics. Since its inception in 1969, this open-access journal has served as a platform for original research and comprehensive reviews, facilitating the dissemination of knowledge to a global audience. As of 2023, it is indexed in Scopus, holding a noteworthy position in the 43rd percentile in the realm of Decision Sciences and Statistics. Researchers and practitioners benefit from its focus on contemporary statistical methods, data analysis, and probability theory. With a commitment to fostering academic dialogue and collaboration, Statistica aims to highlight innovative findings and applications, ensuring that the community remains at the forefront of statistical advancements.

STATISTICAL PAPERS

Pioneering Quality Research in Statistics
Publisher: SPRINGERISSN: 0932-5026Frequency: 4 issues/year

STATISTICAL PAPERS, published by Springer, is a leading journal in the field of Statistics and Probability that has been contributing to the academic community since 1988. With an impressive track record spanning over three decades, this journal falls within the prestigious Q2 quartile in both the Statistics and Probability and Statistics, Probability and Uncertainty categories, signifying its high-quality research output. It currently ranks #92 out of 278 in the Mathematics - Statistics and Probability category and #61 out of 168 in Decision Sciences - Statistics, Probability and Uncertainty, placing it in the 67th and 63rd percentiles respectively. Although the journal is not open access, it offers a vital platform for researchers, professionals, and students seeking to disseminate their findings and stay abreast of the latest advancements in statistical methods and applications. With its commitment to the highest standards of scholarship, STATISTICAL PAPERS plays a crucial role in shaping contemporary statistical discourse and fostering innovation within the field.

Statistics and Its Interface

Advancing Statistical Knowledge for Interdisciplinary Impact
Publisher: INT PRESS BOSTON, INCISSN: 1938-7989Frequency: 4 issues/year

Statistics and Its Interface, issn 1938-7989, published by INT PRESS BOSTON, INC, is a vital academic journal dedicated to bridging the critical intersection of statistics, applied mathematics, and interdisciplinary research. With its inaugural publication in 2011, this journal has continually aimed to provide a platform for innovative statistical methods and their application across various fields, offering valuable insights for researchers and practitioners alike. While the journal currently operates without an open access model, it maintains an essential position within the scholarly community, evidenced by its 2023 rankings in the third quartile for Applied Mathematics and the fourth quartile for Statistics and Probability. Furthermore, it holds a respectable position in Scopus rankings, reflecting its commitment to quality over quantity. By publishing cutting-edge research, Statistics and Its Interface serves as a critical resource for advancing statistical knowledge and cultivating a deeper understanding of its applications in real-world contexts.

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

Elevating Research Standards in Statistical Theory
Publisher: SPRINGER HEIDELBERGISSN: 0020-3157Frequency: 5 issues/year

ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, published by SPRINGER HEIDELBERG, is a prestigious academic journal that has played a pivotal role in the field of statistical mathematics since its inception in 1949. With a focus on advancing research in statistics and probability, this journal is ranked in the Q2 quartile for 2023, indicating its significance and impact within the academic community. Researchers and professionals engaged in statistical theory and methodology will find the journal's comprehensive coverage of contemporary issues essential for furthering their work and understanding of the discipline. The journal is accessible in print and digital formats, facilitating wide dissemination of knowledge among its readership. With a history of rigorous peer review and a commitment to high-quality research, the ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS continues to be a vital resource for academics and practitioners alike.

Statistical Theory and Related Fields

Unlocking insights in statistical theory and related fields.
Publisher: TAYLOR & FRANCIS LTDISSN: 2475-4269Frequency: 4 issues/year

Statistical Theory and Related Fields is a cutting-edge journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical theory and its applications across diverse disciplines. With an open access policy introduced in 2022, this journal strives to make high-quality research accessible to a global audience. Its ISSN 2475-4269 and E-ISSN 2475-4277 ensure that it is widely recognized in the academic community. The journal covers crucial topics ranked across various categories, including Q3 in Analysis and Applied Mathematics, and has a growing presence in important subfields of mathematics, as evidenced by its Scopus rankings. This positions it prominently as a valuable resource for researchers, professionals, and students seeking to explore and contribute to statistical theory and its related fields. With a commitment to fostering rigorous theoretical research, as well as practical applications, the journal plays a significant role in shaping the dialogue and advancements in statistics, probability, and computational theories.