Extremes
Scope & Guideline
Advancing Knowledge: The Science Behind Extremes
Introduction
Aims and Scopes
- Extreme Value Theory (EVT):
The core focus of the journal is on the development and application of extreme value theory, which provides the statistical foundation for analyzing the tails of probability distributions and understanding rare events. - Multivariate and Spatial Extremes:
The journal emphasizes research on multivariate extremes and spatial extremes, exploring the dependencies and interactions between multiple extreme variables, especially in geographic contexts. - Applications in Environmental and Natural Sciences:
Many articles apply extreme value methods to environmental data, such as climate extremes, natural disasters, and ecological phenomena, highlighting the practical relevance of the research. - Stochastic Processes and Modeling:
The journal includes studies on stochastic processes related to extremes, utilizing models like Gaussian processes, Markov chains, and other probabilistic frameworks to analyze extreme phenomena. - Methodological Innovations:
A significant contribution of the journal is the introduction of novel statistical methods and computational techniques, including semi-parametric approaches, machine learning integrations, and Bayesian methods for extreme data analysis. - Risk Assessment and Management:
The journal addresses the risk assessment and management of extreme events, providing insights into probabilistic forecasting, risk mitigation strategies, and decision-making frameworks in uncertain conditions.
Trending and Emerging
- Machine Learning Integrations:
There is a growing trend of integrating machine learning techniques into extreme value analysis, enhancing predictive capabilities and allowing for more flexible modeling of complex data structures. - High-Dimensional Extremes:
Research on high-dimensional extremes is on the rise, focusing on the statistical challenges and methodologies required to analyze extreme events in high-dimensional datasets, particularly in fields like finance and environmental science. - Spatio-Temporal Modeling:
The emphasis on spatio-temporal extremes is increasing, with researchers developing models that account for both space and time in extreme event analysis, crucial for understanding phenomena like climate change impacts. - Causal Inference in Extremes:
Causal modeling approaches in the context of extreme values are emerging, with studies exploring the relationships between variables and the influence of extreme events on various outcomes. - Risk Management and Policy Applications:
Research focusing on the implications of extreme events for risk management and policy-making is gaining traction, highlighting the importance of statistical insights in addressing real-world challenges related to extreme phenomena.
Declining or Waning
- Traditional Univariate Extreme Models:
There is a noticeable decline in publications focusing solely on traditional univariate extreme value models, as researchers increasingly explore multivariate and spatial dependencies. - Basic Statistical Techniques:
Basic statistical techniques in extreme value analysis have seen reduced attention, with a shift towards more complex methodologies that incorporate machine learning and advanced computational approaches. - General Environmental Statistics:
While environmental extremes remain a key area, general statistical methodologies applicable to environmental data are being overshadowed by specialized studies that focus on extreme events specifically. - Historical Data Analysis:
Research concentrating on the analysis of historical extreme events without modern statistical enhancements is becoming less frequent, as the field moves towards more sophisticated and predictive modeling approaches. - Non-Statistical Approaches:
Themes related to non-statistical or purely descriptive analyses of extremes have waned, as the journal increasingly prioritizes robust statistical methodologies and theoretical advancements.
Similar Journals
Journal of Hydrology
Transforming Water Science with Rigorous ResearchThe Journal of Hydrology, published by ELSEVIER, stands as a premier outlet for scholarly research in the field of water science and technology. With an impactful history dating back to 1949 and a convergence period extending to 2024, this journal has consistently provided a platform for cutting-edge research that shapes our understanding of hydrological processes and their implications. Located in the Netherlands, its commitment to excellence is underscored by its impressive Scopus rank of 15 out of 261 in the Environmental Science category, placing it in the 94th percentile overall, and achieving a prestigious Q1 category allocation for 2023. While the journal does not currently offer open access options, it remains an invaluable resource for researchers, professionals, and students seeking to deepen their expertise in hydrology. The rigorous peer-review process ensures the publication of high-quality manuscripts that contribute significantly to the advancement of knowledge in this critical domain.
ALEA-Latin American Journal of Probability and Mathematical Statistics
Advancing statistical knowledge across Latin America.ALEA - Latin American Journal of Probability and Mathematical Statistics is a pivotal publication in the field of statistical theory and probabilistic modeling, published by the renowned Instituto de Matemática Pura e Aplicada (IMPA) in Brazil. Since its inception in 2011, this journal has steadily established itself as a key resource for researchers and academics, currently ranked in the Q2 category for Statistics and Probability as of 2023. With an H-index reflecting the sustained influence of its published research, ALEA serves not only as a platform for innovative studies but also as a vital conduit for the dissemination of cutting-edge statistical methodologies across the Latin American region and beyond. The journal is committed to maintaining high scholarly standards, encouraging open discussions on theoretical and applied aspects of probability and statistics. Access options include subscription-based access, ensuring a wide reach for its scholarly content. Whether you are a seasoned professional or a student embarking on your research journey, ALEA offers invaluable insights that contribute to the advancement of knowledge in the ever-evolving realm of mathematical statistics.
TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES
Bridging Oceans and Atmospheres Through ResearchTERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES, published by SpringerNature, is a distinguished peer-reviewed journal that has been an essential platform for innovative research in the fields of atmospheric science, oceanography, and Earth and planetary sciences since its inception. With an Open Access policy established in 1990, the journal ensures wide dissemination of knowledge, allowing researchers, professionals, and students to access cutting-edge findings without restrictions. Based in Switzerland and featuring a comprehensive coverage from 1996 to 2024, the journal currently holds a Q3 ranking across various categories, indicating its growing significance in the scientific community. Although it is positioned within the 39th percentile in Earth and Planetary Sciences, its commitment to fostering high-quality research makes it a valuable resource for advancing understanding of terrestrial environments and their interconnections. Researchers seeking a platform for their work in atmospheric and oceanic sciences will find TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES to be an ideal venue for sharing their insights with a global audience.
ANNALS OF APPLIED PROBABILITY
Fostering Excellence in Probability ScholarshipANNALS OF APPLIED PROBABILITY is a prestigious journal dedicated to advancing the field of applied probability, providing a platform for rigorous research and innovative applications. Published by the Institute of Mathematical Statistics (IMS), this journal has earned a reputable standing in the academic community, reflected in its 2023 ranking as Q1 in both Statistics and Probability and Statistics, Probability and Uncertainty. With a focus on disseminating high-quality articles, it plays a critical role in bridging theoretical advancements and practical applications in various domains of probability. The journal features a robust editorial process and attracts contributions from leading researchers, fostering a vibrant discourse essential for academic and professional development. Researchers and practitioners seeking to deepen their knowledge and stimulate intellectual growth will find the ANNALS OF APPLIED PROBABILITY an invaluable resource, with its significance exemplified by its Scopus rankings that showcase its influence within the statistics community.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
Unveiling the complexities of climate and weather phenomena.BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, published by the American Meteorological Society, stands as a premier forum in the field of meteorology and atmospheric science, boasting an impressive ranking in the Q1 category for 2023. With a long-standing history dating back to 1972, this journal serves as a vital resource for researchers, practitioners, and students dedicated to advancing the understanding of atmospheric phenomena. The journal facilitates the dissemination of cutting-edge research, innovative methodologies, and significant findings that propel the scientific community forward. Although not an Open Access journal, it remains a critical publication for comprehending complex environmental interactions, climate change, and weather-related phenomena. The BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY is essential reading for anyone invested in atmospheric sciences, providing invaluable insights that shape policy, enhance safety, and promote environmental sustainability.
Stochastics-An International Journal of Probability and Stochastic Processes
Bridging Theory and Application in Stochastic ResearchStochastics: An International Journal of Probability and Stochastic Processes, published by Taylor & Francis Ltd, is a pivotal platform for the dissemination of innovative research in the realms of probability and stochastic processes. Since its inception in 1975, the journal has evolved to encapsulate a rich array of methodologies and applications, contributing significantly to the fields of modeling, simulation, and statistical analysis. With a current impact factor ranking in the Q3 category for both Modeling and Simulation and Statistics and Probability, it positions itself as a valuable resource for professionals, researchers, and students alike. The journal’s coverage spans a unique historical arc from 1975, and it continues to push boundaries up to 2024, ensuring the latest trends and discoveries are accessible to an engaged audience. Though not Open Access, the journal’s scholarly contributions are crucial for advancing understanding and innovation in stochastic modeling, making it an essential read for those seeking to deepen their expertise in the field.
Mausam
Elevating Meteorological Research Since 1979Mausam, an esteemed publication by the India Meteorological Department, serves as a pivotal platform for advancing research in the fields of atmospheric science and geophysics. With its origins tracing back to 1979, this journal has consistently provided valuable insights into weather patterns, climatic variations, and geophysical phenomena, making it a crucial resource for researchers and professionals in Earth and Planetary Sciences. Although it currently holds a Q4 rating in Atmospheric Science and Q3 in Geophysics as of 2023, the journal's commitment to rigorous scientific exploration fosters an enriching environment for emerging studies. The journal is indexed in Scopus with specific rankings highlighting its scope, ranking #116 out of 165 in Geophysics, and #130 out of 148 in Atmospheric Science. This reflects a growing global interest in the journal's contributions to vital areas of scientific inquiry. While Mausam is not available as an open-access journal, it remains accessible to a wide audience, providing critical research that informs both local and global meteorological practices. Researchers, students, and professionals alike are encouraged to engage with its rich archive, as it continues to evolve to meet the needs of the scientific community.
Analytic Methods in Accident Research
Driving progress in safety research through open access.Analytic Methods in Accident Research, published by ELSEVIER, is an esteemed journal dedicated to the rigorous exploration of methodologies in safety research and transportation studies. Established in 2014, the journal serves as a vital platform for researchers, practitioners, and policymakers focusing on innovative approaches to accident analysis, ultimately aiming to enhance public safety and improve transportation systems. With an impressive impact factor reflected in its Q1 rankings in both Safety Research and Transportation, the journal ranks #1 out of 109 in Safety Research and #2 out of 141 in Transportation, showcasing its influential position within these fields. The journal emphasizes open access to a range of articles, making cutting-edge research accessible to a diverse audience. As it converges toward its 2024 milestone, Analytic Methods in Accident Research continues to play a crucial role in fostering innovative findings and solutions, making it an indispensable resource for any scholar or professional engaged in safety and transportation research.
Atmospheric Research
Illuminating Atmospheric Challenges Through Rigorous ResearchAtmospheric Research is a premier journal published by Elsevier Science Inc, specializing in the field of Atmospheric Science. With a commendable impact factor, it holds a distinguished position in the Scopus rankings, being placed 14th out of 148 journals within its category and achieving a remarkable 90th percentile rank. This journal serves as a vital outlet for rigorous research on atmospheric processes, climate variability, and meteorological phenomena, providing a platform for scientists, researchers, and students to disseminate their findings and contribute to the advancement of knowledge in this critical field. Although it is not an open-access journal, its strong reputation and selective publication criteria ensure that only high-quality and impactful studies are featured. Since its inception in 1986, Atmospheric Research has continuously evolved to meet the dynamic nature of atmospheric studies, making it a fundamental resource for anyone engaged in understanding and addressing atmospheric challenges worldwide.
Statistics & Risk Modeling
Advancing insights in statistics and risk assessment.Statistics & Risk Modeling is a distinguished journal published by WALTER DE GRUYTER GMBH, focusing on the intricate relationships between statistical methodologies and risk assessment techniques. With a strong academic foundation, the journal has been an influential platform in its field since its inception, converging contributions from 1982 to 2002 and again from 2011 to 2024. This journal is currently ranked in the Q3 category in both Modeling and Simulation and Statistics and Probability, reflecting its commitment to advancing knowledge and promoting robust research in statistics, probability, and uncertainty analysis. Although it offers a traditional subscription model, its significant contribution to the community is underscored by its increasing visibility in Scopus rankings, where it stands in the 44th percentile for Decision Sciences and Statistics. By comprehensively addressing contemporary issues in statistical theory and its practical applications, Statistics & Risk Modeling serves as an essential resource for researchers, professionals, and students aiming to deepen their understanding of statistical science and its implications in risk management.