SORT-Statistics and Operations Research Transactions

Scope & Guideline

Exploring the Frontiers of Statistical Methodology.

Introduction

Welcome to your portal for understanding SORT-Statistics and Operations Research Transactions, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1696-2281
PublisherINST ESTADISTICA CATALUNYA-IDESCAT
Support Open AccessNo
CountrySpain
TypeJournal
Convergefrom 2003 to 2024
AbbreviationSORT-STAT OPER RES T / SORT-Stat. Oper. Res. Trans.
Frequency2 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressVIA LAIETANA 58, BARCELONA 08003, SPAIN

Aims and Scopes

SORT-Statistics and Operations Research Transactions focuses on advancing statistical methodologies and operations research techniques across various applications. The journal emphasizes the interplay between theoretical developments and practical implementations, highlighting the importance of robust statistical methods in decision-making processes.
  1. Statistical Methodologies:
    The journal publishes research on a wide range of statistical techniques, including but not limited to regression analysis, time series analysis, and Bayesian methods, aimed at enhancing data analysis and interpretation.
  2. Compositional Data Analysis:
    There is a strong focus on compositional data, exploring methodologies for analyzing parts of a whole, with applications in fields like geology and ecology, emphasizing the significance of subcompositional coherence and covariance.
  3. Survey Sampling and Estimation:
    Research on complex survey designs and estimation techniques is prominent, addressing challenges in small area estimation and the integration of probability and non-probability samples.
  4. Operations Research Applications:
    The journal also covers applications of operations research in various domains, including decision-making processes in health, transport systems, and environmental studies, highlighting the practical implications of statistical methods.
  5. Data Science and Machine Learning:
    Emerging methodologies in data science, analytics, and artificial intelligence, particularly in health and ecological contexts, reflect the journal's commitment to incorporating modern computational approaches.
Recent publications in SORT have highlighted several trending and emerging themes that reflect the evolving landscape of statistical research. These themes demonstrate a shift towards more complex, interdisciplinary approaches and the integration of advanced computational techniques.
  1. Advanced Compositional Analysis:
    Research in compositional data analysis is gaining traction, particularly through innovative methodologies that address the complexities of subcompositional coherence and covariance, indicating a deeper exploration of this niche area.
  2. Health Data Analytics:
    The application of statistical methods to health data, especially in the context of e-health and pandemic response (e.g., SARS-CoV-2), has become increasingly prominent, showcasing the journal's relevance to pressing global health issues.
  3. Spatial and Temporal Data Analysis:
    Emerging methodologies for spatio-temporal modeling, particularly in ecological and epidemiological contexts, are on the rise, reflecting a growing interest in understanding dynamic processes over time and space.
  4. Machine Learning and AI Integration:
    There is a notable trend towards integrating machine learning and artificial intelligence techniques in statistical analysis, particularly in the context of data science applications, highlighting the journal's adaptation to contemporary research needs.
  5. Complex Survey Data Techniques:
    Innovations in the estimation and analysis of complex survey data, including methodologies that blend various sampling techniques, are increasingly featured, reflecting a focus on improving the accuracy and reliability of survey results.

Declining or Waning

While SORT continues to explore a wide array of statistical and operational research themes, certain areas have shown a decline in focus or frequency of publication. This shift may reflect changing trends in research priorities or the maturation of specific methodological topics.
  1. Traditional Statistical Methods:
    There appears to be a waning interest in more traditional statistical methods that do not incorporate modern computational techniques, as newer methodologies gain prominence.
  2. Basic Nonparametric Methods:
    Nonparametric estimation techniques, while still relevant, are being replaced by more sophisticated approaches that leverage machine learning and Bayesian frameworks, indicating a shift towards more complex analysis.
  3. Generalized Linear Models (GLMs):
    Although GLMs have been a staple in statistical analysis, their frequency in recent publications suggests a decline as researchers explore more nuanced models that better accommodate complex data structures.

Similar Journals

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Bridging Theory and Application in Statistical Science
Publisher: WILEYISSN: 1369-1473Frequency: 4 issues/year

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

Sequential Analysis-Design Methods and Applications

Pioneering methodologies for informed decision-making in statistics.
Publisher: TAYLOR & FRANCIS INCISSN: 0747-4946Frequency: 4 issues/year

Sequential Analysis: Design Methods and Applications, published by Taylor & Francis Inc, is a renowned journal dedicated to the advancing field of statistical analysis and design methodologies. With an ISSN of 0747-4946 and an E-ISSN of 1532-4176, this journal has been a pivotal platform for disseminating high-quality research since its inception, with coverage spanning from 1984 to 1995 and resuming its impactful presence from 2007 to 2024. The journal holds a commendable position in the academic community, categorized in the Q3 quartile for both Modeling and Simulation as well as Statistics and Probability according to the 2023 metrics. While access to articles is not open, subscriptions provide invaluable insights for researchers and professionals working on innovative statistical methods. Its Scopus rankings place it within the 33rd and 24th percentiles in Mathematics, which underscores its significant contribution to the statistical landscape. This journal is essential for those looking to stay at the forefront of statistically informed decision-making, offering a comprehensive array of articles that address contemporary challenges and methodologies in sequential analysis.

REVSTAT-Statistical Journal

Empowering Researchers Through Open Access Innovation.
Publisher: INST NACIONAL ESTATISTICA-INEISSN: 1645-6726Frequency: 4 issues/year

REVSTAT-Statistical Journal, published by the Instituto Nacional de Estatística (INE)Open Access model established in 2003, REVSTAT promotes the free dissemination of high-quality research, ensuring broad accessibility to its published works. Although it currently holds a Q4 category ranking in Statistics and Probability according to Scopus, the journal aims to enhance its contributions to the statistical community by featuring innovative methodologies, theoretical advancements, and applied statistical research. With a convergence period extending from 2010 to 2024, REVSTAT invites submissions that not only enrich the discipline but also encourage interdisciplinary collaboration. Its commitment to developing statistical knowledge makes it a noteworthy avenue for anyone seeking to engage with contemporary statistical discourse.

ANNALS OF STATISTICS

Unveiling New Horizons in Statistical Theory and Practice
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.

Survey Methodology

Shaping the future of statistical analysis through surveys.
Publisher: STATISTICS CANADAISSN: 0714-0045Frequency: 2 issues/year

Survey Methodology, published by STATISTICS CANADA, is a prominent academic journal dedicated to the exploration and advancement of survey methods across various domains. First established in 1987, this journal has become a significant resource for researchers, professionals, and students interested in methodological developments in data collection and statistical analysis. With a 2023 Q2 ranking in Modeling and Simulation and a Q3 ranking in Statistics and Probability, Survey Methodology provides a vital platform for disseminating innovative research and practical applications related to survey techniques, contributing to the field's robust discourse. Although it operates on a subscription basis, the journal's archives from its inception to present are invaluable for those seeking to deepen their understanding of contemporary survey practices. By bridging theory and application, Survey Methodology supports the continuous improvement of survey research, thus playing an essential role in shaping data-driven decision-making in both academic and applied settings.

Korean Journal of Applied Statistics

Fostering Excellence in Statistical Research and Applications
Publisher: KOREAN STATISTICAL SOCISSN: 1225-066XFrequency: 6 issues/year

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

STATISTICS

Nurturing quality research in statistics and probability.
Publisher: TAYLOR & FRANCIS LTDISSN: 0233-1888Frequency: 6 issues/year

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

Econometrics and Statistics

Advancing quantitative insights for a data-driven world.
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.

JOURNAL OF TIME SERIES ANALYSIS

Empowering researchers with cutting-edge statistical methods.
Publisher: WILEYISSN: 0143-9782Frequency: 6 issues/year

JOURNAL OF TIME SERIES ANALYSIS, published by Wiley, is a premier academic journal dedicated to the field of time series analysis, serving as a pivotal resource for researchers, professionals, and students in applied mathematics and statistics. With a strong commitment to advancing scholarly knowledge since its inception in 1980, the journal focuses on innovative methodologies and applications in time series data, highlighting its relevance in various domains, including economics, finance, and environmental studies. Although the journal currently does not offer open access, it maintains a robust reputation, reflected in its 2023 Q1 and Q2 quartile rankings in applied mathematics and statistics, respectively. The contributions published in this journal are instrumental for advancing theoretical frameworks and practical applications in data analysis. Stay informed of cutting-edge research and methodologies by engaging with the JOURNAL OF TIME SERIES ANALYSIS, which is accessible through various academic databases.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Unveiling insights that shape contemporary statistics.
Publisher: TAYLOR & FRANCIS INCISSN: 0361-0926Frequency: 24 issues/year

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS is a distinguished journal published by Taylor & Francis Inc, dedicated to advancing the field of statistics through rigorous theoretical and methodological research. With an ISSN of 0361-0926 and an E-ISSN of 1532-415X, this journal serves as an essential platform for statisticians, researchers, and academics to disseminate their findings and engage in scholarly discourse. It covers a broad spectrum of topics within the realms of statistics and probability, maintaining its relevance in the academic community, as indicated by its prestigious Q3 category rank and Scopus percentile ranking of 51st in its field. Launched in 1976, the journal has been pivotal in shaping contemporary statistical methodologies up to 2024 and offers a robust archive of knowledge and insights, despite its non-Open Access status. By fostering high-quality peer-reviewed articles, COMMUNICATIONS IN STATISTICS-THEORY AND METHODS continues to play a vital role in the development and dissemination of statistical theory, making it indispensable for students and professionals striving to stay at the forefront of statistical science.