JOURNAL OF MULTIVARIATE ANALYSIS

metrics 2024

Transforming Data into Actionable Knowledge

Introduction

Journal of Multivariate Analysis, published by Elsevier Inc, stands as a pivotal resource in the disciplines of Numerical Analysis and Statistics. With a history of scholarly contribution since 1971, this journal has maintained a reputation for excellence, evidenced by its Q2 ranking in critical categories as of 2023. The journal covers a wide array of topics within multivariate statistical methods and their applications, making it an essential publication for researchers, professionals, and students seeking to deepen their understanding and application of sophisticated analytical techniques. Although not open-access, the journal provides valuable insights into the ever-evolving fields of statistics and probability, enabling readers to access and contribute to cutting-edge research up to the year 2024. By addressing significant theoretical and practical challenges in statistical analysis, Journal of Multivariate Analysis fosters a community of intellectual rigor and innovation.

Metrics 2024

SCIMAGO Journal Rank0.84
Journal Impact Factor1.40
Journal Impact Factor (5 years)1.50
H-Index89
Journal IF Without Self1.40
Eigen Factor0.00
Normal Eigen Factor0.99
Influence0.90
Immediacy Index0.20
Cited Half Life14.10
Citing Half Life14.00
JCI0.81
Total Documents3133
WOS Total Citations5409
SCIMAGO Total Citations10835
SCIMAGO SELF Citations1141
Scopus Journal Rank0.84
Cites / Document (2 Years)1.61
Cites / Document (3 Years)1.63
Cites / Document (4 Years)1.76

Metrics History

Rank 2024

Scopus

Numerical Analysis in Mathematics
Rank #35/88
Percentile 60.23
Quartile Q2
Statistics and Probability in Mathematics
Rank #112/278
Percentile 59.71
Quartile Q2
Statistics, Probability and Uncertainty in Decision Sciences
Rank #73/168
Percentile 56.55
Quartile Q2

IF (Web Of Science)

STATISTICS & PROBABILITY
Rank 53/168
Percentile 68.80
Quartile Q2

JCI (Web Of Science)

STATISTICS & PROBABILITY
Rank 34/168
Percentile 79.76
Quartile Q1

Quartile History

Similar Journals

STATISTICAL SCIENCE

Connecting Scholars with Cutting-Edge Statistical Discoveries.
Publisher: INST MATHEMATICAL STATISTICS-IMSISSN: 0883-4237Frequency: 4 issues/year

STATISTICAL SCIENCE, published by the Institute of Mathematical Statistics (IMS), stands as a premier journal in the fields of Statistics and Probability, commencing its journey in 1986 and continuing through 2024. With an impressive track record reflected in its Q1 quartile rankings in Mathematics, Statistics and Probability, and Statistics, Probability and Uncertainty for 2023, it holds a distinguished position in the academic community. The journal is recognized for its rigorous peer-review process and for publishing high-quality research that significantly contributes to advancing statistical methodology and its applications across various domains. Researchers and professionals are encouraged to engage with its contents to stay abreast of the latest developments and methodologies in statistical science. Although it does not offer open access, the valuable insights provided within its pages are essential for any scholar dedicated to the pursue of statistical excellence. As you navigate the complexities of data analysis and interpretation, STATISTICAL SCIENCE is your go-to resource for groundbreaking research, innovative techniques, and comprehensive reviews.

REVSTAT-Statistical Journal

Championing Open Access for a Brighter Statistical Future.
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.

Thailand Statistician

Catalyzing Innovation in Statistics and Probability
Publisher: THAI STATISTICAL ASSOCISSN: 1685-9057Frequency: 2 issues/year

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

ANNALS OF STATISTICS

Elevating Statistical Methodologies for a Complex World
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.

SCANDINAVIAN JOURNAL OF STATISTICS

Elevating the discourse in statistics since 1996.
Publisher: WILEYISSN: 0303-6898Frequency: 4 issues/year

SCANDINAVIAN JOURNAL OF STATISTICS is a premier publication in the field of statistics, published by Wiley. With an impressive impact factor that reflects its influence, this journal is recognized for its rigorous peer-reviewed research articles that contribute to the advancement of statistical methods and their applications. As a leading resource, the journal spans a wide range of topics within Statistics and Probability, maintaining a strong scholarly presence with a Q1 rank in Statistics and Probability and a Q2 rank in Statistics, Probability and Uncertainty as per the 2023 category quartiles. The journal has been diligently publishing high-quality research since 1996, and now encompasses studies up to 2024, reinforcing its commitment to providing valuable insights for researchers, professionals, and students alike. While the journal does not offer open access, it remains an essential repository of knowledge in statistical sciences, fostering collaboration and innovation within the global academic community.

ENVIRONMENTAL AND ECOLOGICAL STATISTICS

Empowering researchers with cutting-edge environmental statistics.
Publisher: SPRINGERISSN: 1352-8505Frequency: 4 issues/year

ENVIRONMENTAL AND ECOLOGICAL STATISTICS, published by SPRINGER, stands as a premier journal dedicated to advancing the fields of environmental science and statistical methodologies. With an ISSN of 1352-8505 and an E-ISSN of 1573-3009, this journal has continually provided a platform for innovative research and interdisciplinary studies since its inception in 1994. Operating from the Netherlands, it enjoys a significant impact within the academic community, reflected in its impressive Q2 rankings across various categories including Environmental Science and Statistics. The journal maintains a strong focus on the application of statistical techniques to ecological and environmental problems, fostering an environment for discourse that is both robust and insightful. Although it does not currently offer open access, the depth and quality of research published within its pages position it as a vital resource for researchers, professionals, and students alike, eager to understand and address the complexities of environmental data analysis up to the year 2024.

STATISTICAL PAPERS

Unveiling Insights in Statistics and Probability
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.

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS

Exploring the frontiers of statistical science since 1976.
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.

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.

Econometrics and Statistics

Exploring the intersection of theory and application in statistics.
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.