Romanian Statistical Review
Scope & Guideline
Exploring the Depths of Statistical Knowledge
Introduction
Aims and Scopes
- Statistical Methodologies and Applications:
The journal emphasizes rigorous statistical methodologies, employing advanced techniques such as machine learning, time series analysis, and multivariate statistical methods to address complex socio-economic issues. - Socio-Demographic Studies:
Research often explores socio-demographic trends and their implications, analyzing factors such as migration, aging populations, and labor market dynamics within Romania and beyond. - Economic Analysis and Policy Implications:
The journal contributes to discussions on economic policies by evaluating labor markets, trade dynamics, and the impact of crises (e.g., COVID-19) on economic performance. - Public Administration and Governance:
There is a consistent focus on improving public administration through statistical insights, including studies on civil service training, public satisfaction, and responsiveness to citizen needs. - Environmental and Urban Studies:
The journal also addresses urbanization and environmental issues, utilizing statistical analysis to assess urban green spaces, tourism, and sustainability.
Trending and Emerging
- Machine Learning and Data Science Applications:
Recent publications showcase an increasing application of machine learning techniques to analyze labor market data and economic trends, underscoring the relevance of advanced data science in statistical research. - Impact of COVID-19 on Socio-Economic Factors:
There is a marked trend in exploring the implications of the COVID-19 pandemic across various sectors, including labor markets, healthcare, and public administration, indicating a growing interest in crisis-related research. - Digital Transformation in Public Administration:
Studies focusing on the digitalization of public services and the effectiveness of telework have gained traction, reflecting the ongoing transformation within public administration in response to technological advancements. - Sustainability and Environmental Statistics:
Emerging research emphasizes sustainability metrics and environmental statistics, with a focus on urban planning and the impact of policies on ecological outcomes, aligning with broader global sustainability goals. - Using Big Data and Remote Sensing:
There is a rising trend in utilizing big data and remote sensing technologies for urban and environmental analysis, highlighting the journal’s commitment to integrating innovative data sources into statistical research.
Declining or Waning
- Traditional Economic Indicators:
Research focusing solely on traditional economic indicators such as GDP without integrating more nuanced analyses or modern methodologies has seen a decrease in favor of more comprehensive approaches that consider multiple factors. - Generalized Statistical Education:
Topics centered around basic statistical education or introductory statistical methods are becoming less prevalent, as the journal shifts towards more sophisticated applications of statistics in real-world scenarios. - Static Historical Analyses:
Studies that solely focus on static, historical analyses without engaging with current trends or predictive modeling are appearing less frequently, indicating a preference for dynamic, forward-looking research. - Descriptive Studies Without Statistical Innovation:
Papers that primarily offer descriptive statistics without innovative methodologies or deeper analytical insights are waning, as the journal increasingly values contributions that offer new perspectives or applications.
Similar Journals
JOURNAL OF MULTIVARIATE ANALYSIS
Advancing Multivariate Techniques for Tomorrow's ChallengesJournal 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.
JIRSS-Journal of the Iranian Statistical Society
Empowering Statisticians Through Open Access Insights.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.
Advances and Applications in Statistics
Exploring the Frontiers of Statistical InnovationAdvances and Applications in Statistics is a pivotal academic journal devoted to the dissemination of high-quality research findings in the field of statistics and its diverse applications. Published by PUSHPA PUBLISHING HOUSE, this journal aspires to serve as a dynamic platform for researchers, professionals, and students who aim to share innovative statistical methodologies and explore their practical implications across various disciplines. The journal, with its influential ISSN 0972-3617, fosters open discussion and collaboration within the statistical community, aiming to bridge theoretical advancements with real-world applications. As part of its ongoing commitment to academic integrity and excellence, Advances and Applications in Statistics encourages submissions that not only advance statistical theory but also illustrate their utility in solving contemporary issues in industries such as healthcare, finance, and economics. Although currently lacking an impact factor, the journal's dedication to quality research positions it as a significant contributor to the field. Researchers and academics looking to publish their work in a stimulating and supportive environment will find in this journal a valuable resource.
Austrian Journal of Statistics
Exploring the Depths of Probability and UncertaintyAustrian Journal of Statistics, published by the AUSTRIAN STATISTICAL SOC, serves as a prominent platform for disseminating innovative research in the fields of statistics and applied mathematics. Established as an open-access journal in 1996, it aims to promote the exchange of knowledge and advancements among researchers, academics, and practitioners, particularly in Austria and beyond. With an ISSN of 1026-597X, this journal has gained recognition despite its current standing in the lower quartiles in various Scopus rankings. It covers a wide breadth of topics including statistics, probability, and uncertainty, appealing to a diverse audience of researchers aiming to enhance their understanding of these critical disciplines. By offering unrestricted access to its content, the Austrian Journal of Statistics provides invaluable resources for both emerging and established voices in the field, making it a vital source for academics and professionals alike. Research published here contributes to the ongoing dialogue surrounding statistical methodologies and applications, making it indispensable for anyone engaged in data analysis and interpretation.
International Journal of Computational Economics and Econometrics
Exploring the intersection of technology and economic theory.International Journal of Computational Economics and Econometrics is a peer-reviewed academic journal published by INDERSCIENCE ENTERPRISES LTD, focusing on the intersection of computational methodologies and economic analysis. With an ISSN of 1757-1170 and an E-ISSN of 1757-1189, this journal provides a crucial platform for researchers and professionals interested in innovative computational approaches to tackle real-world economic problems. While it currently does not operate under an open-access model, the journal is committed to advancing knowledge in its field, particularly as it occupies a vital niche within Computer Science Applications and Economics and Econometrics, ranking in the Q4 quartile for both categories as of 2023. Covering the period from 2017 to 2024, the journal aims to foster interdisciplinary collaboration and encourage the integration of advanced computational techniques into traditional economic theory and practice. As it continues to evolve, the International Journal of Computational Economics and Econometrics remains essential for academics and practitioners looking to stay at the forefront of technological innovations in economics.
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Exploring the frontiers of statistical science since 1976.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.
JOURNAL OF QUANTITATIVE ECONOMICS
Shaping the Future of Economics with Quantitative RigorJOURNAL OF QUANTITATIVE ECONOMICS, published by SPRINGER, is an influential academic journal focusing on significant quantitative methodologies in the field of economics. With its ISSN 0971-1554 and E-ISSN 2364-1045, the journal aims to deliver high-quality research that explores theoretical and empirical applications in economics and related disciplines. Operating from Switzerland, this journal has gained recognition for its contributions, achieving a position in the Q3 quartile for Business and International Management, Development, and other related categories in 2023. While it does not currently offer open access, it is accessible through various libraries and institutions for scholars interested in advancing their understanding of quantitative economic analysis. By fostering a dynamic dialogue among researchers and practitioners, the JOURNAL OF QUANTITATIVE ECONOMICS plays a crucial role in shaping insights and driving innovation within the economic landscape today.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
Elevating Understanding of Statistics in Everyday LifeJournal of the Royal Statistical Society Series A - Statistics in Society is a premier academic journal published by Oxford University Press, dedicated to advancing the understanding and application of statistical methods in the context of social issues. With an ISSN of 0964-1998 and an E-ISSN of 1467-985X, this journal has consistently been recognized for its high-quality contributions, reflected in its prestigious impact factors and quartile rankings. As of 2023, it holds a Q1 status in Social Sciences (miscellaneous) and notable Q2 rankings in Economics and Econometrics, as well as in Statistics and Probability, illustrating its influence and authority in the relevant fields. Researchers and professionals engaging with this journal can expect rigorous peer-reviewed articles, innovative methodologies, and comprehensive discussions that address contemporary statistical challenges within society. While currently not offering Open Access, the journal is committed to disseminating knowledge that enhances understanding of the interplay between statistics and social dynamics. Spanning from 1988 to 2024, the Journal of the Royal Statistical Society Series A remains a crucial resource for scholars looking to explore the vital intersection of statistical theory and societal applications.
JOURNAL OF BUSINESS & ECONOMIC STATISTICS
Connecting Researchers to the Heart of Economic StatisticsJOURNAL OF BUSINESS & ECONOMIC STATISTICS is a premier academic journal published by Taylor & Francis Inc, dedicated to disseminating high-quality research in the fields of business, economics, and statistics. With an impressive impact in the academic community, the journal maintains a distinguished Q1 ranking across various categories including Economics and Econometrics, Social Sciences (miscellaneous), and Statistics and Probability, showcasing its relevance and influence in contemporary research. Since its inception in 1983, the journal has served as a vital resource for researchers, professionals, and students seeking insights into quantitative methodologies and their application in the economic domain. While the journal is not currently open access, its rigorous peer-review process ensures that published articles are of the highest scholarly standards. Researchers and practitioners alike will find a rich repository of empirical and theoretical studies that foster knowledge advancement in the intersecting realms of business, economics, and statistical analysis.
JOURNAL OF TIME SERIES ANALYSIS
Illuminating trends across disciplines with statistical precision.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.